Hi, Alex and Jeremy here from UMH.
8 years ago, Jeremy was absolutely frustrated with the status quo of data infrastructure in manufacturing. Companies paid millions per year for "shitty 90s software" and are still doing that today, when there is much better software out there for open-source. So we decided that we can do this better, first founded a System Integrator, realized most of the tasks in setting up and maintaining a data infrastructure can be standardized, and decided to found the currently VC-backed UMH, which is built on open source software and is open source itself.
What we're actually building: We build and scale a real-time data platform that runs hundreds of Benthos pipelines inside a single Docker container (UMH Core), processing millions of industrial messages that control actual production processes.
Plus a local-first user interface (Management Console) where both non-technical factory workers and power-users/developers can work together. And yes, we care about UI in enterprise/industrial software.
https://www.umh.app/careers/product-engineer-f-m-d-70-100k-e...
Most non-tech businesses know exactly which workflows they want AI agents to handle, but have no one to build, connect and run them. Pond delivers custom AI agents to these businesses through a network of 7k AI builders, with Pond as the platform and security layer over MCP.
We're backed by Tier-1 VCs and a co-inventor of GPT, and we're looking for a hands-on technical leader to own the platform end to end.
You'd be a great fit if you:
- Build full-stack and ship AI agents in production (TypeScript/Python, LLMs, tool use)
- Have worked on payments, agent coordination/MCP, or platform/marketplace products
- Have early-stage startup experience (founder, founding or early engineer) and like to grind
Email dylan@joinpond.ai with something you've built.
We are software builders at :heart: CEO is a software engineer, COO is a software engineer, and you guessed it, CTO is an engineer, too. We are engineers, making the tools we always wanted. If you love building amazing software, you're at the right address.
We are looking for software engineers who, given enough time, could build Better Stack on their own = looking for full-stack product engineer generalists to help us create high-quality software with exceptional UX, end-to-end.
Apply at https://betterstack.com/careers/fullstack-engineer
How we operate: https://betterstack.com/careers – https://betterstack.com/careers/engineering – https://juraj.blog/
Stream powers Chat, Video, AI Moderation, and Activity Feeds for billions of global end users across thousands of different apps.
We're constantly hiring backend engineers, but I wanted to take this opportunity to tout my own hire because I'm hoping you'll come work with me... I'm pavlov on HN, been here for nearly two decades, and working in realtime media for a good while longer. Now I run the Video team at Stream and I'm looking for a Staff Engineer. You'd report to me with a direct line to our CTO. Check out the details:
https://jobs.ashbyhq.com/stream/82b37457-3d54-4f7a-8a0e-ae52...
You'd own the media plane of Stream Video. It's a modern stack: SFU in Go, cascading to handle very large audiences, ingest and recording fleets, global multi-cloud edge. Video is fundamentally different from request-based services, which means this is not just a seat in Stream's shared infra team, but a genuine Staff role with its own roadmap defined by you. You can email me directly at pauli.ojala@getstream.io, happy to connect and tell you more.
Full-time role, hybrid with 3 days a week in our Amsterdam office, or remote from anywhere in the EU. Visa sponsorship for the Netherlands.
Also hiring: Staff Software Engineer, Infrastructure (Amsterdam), Staff Software Engineer, Backend (Amsterdam), Senior Fullstack Engineer, Moderation (Toronto).
See all roles: https://jobs.ashbyhq.com/stream?utm_source=5rrpvObp3r
Namespace is a vertically integrated infrastructure stack for software development. We build everything ourselves, from the server racks to the hypervisor and scheduler, and we run it globally.
Teams at SpaceXAI, Ramp, Sierra, Fal, Vanta, Framer, ElevenLabs, and many others build their software on Namespace today. Open roles (all full-time, global, remote & hybrid):
Customer-Facing Software Engineer
Product Engineer
Infrastructure Software Engineer
Security Engineer
DevOps Engineer
Engineering Lead
Details and applications: https://namespace.so/careers
Work on autonomy and precision agriculture, applying AI, machine learning, and computer vision to real-world agricultural problems. You'll help develop, evaluate, and deploy models alongside our engineering team.
Stack: C++, Python, PyTorch/TensorFlow, ONNX, TensorRT, Git.
We're looking for strong programming skills and a solid understanding of ML fundamentals. You must be a current college student actively pursuing a degree. Visa sponsorship is not available.
Apply: https://join.cnh.com/job/AI-Engineer-Intern/5686-en_US
Juro is an AI contract automation platform used by in-house legal and business teams. Our Agentic team builds Operator, the agent that works across contracts inside Juro: it answers questions and takes action on legal data. You'd build the tools that let it act across the product, own parts of the agent harness (planning, tool use, context) and put evals around what you ship, together with our QA team.
Stack: TypeScript/Node.js, MongoDB, pgvector, AWS Bedrock, LiteLLM, Mastra, some React. Engineers pick their own AI tooling (Claude Code, Codex, Cursor...) and we pay for the usage.
We're looking for programmers first who now build with LLMs, and who have shipped something people use. Years of ML matter less to us than what you've built. We apply models, we don't train them.
Process: 30-min intro call, interview with the hiring manager, a build review where you walk us through something you've built, and a short chat with our CTO. We reply to every applicant.
You'll work from the UK. For exceptional candidates we can sponsor a UK Skilled Worker visa, whether you're relocating or already in the UK. If you need sponsorship, say so in your application.
Apply: https://juro.notion.site/aie
Mastra is the open-source TypeScript framework for building AI agents (agents, workflows, memory, evals, tracing). From the team behind Gatsby, YC-backed, https://github.com/mastra-ai/mastra
Why: Four months ago Mastra was a very popular open-source agent framework with very little monetization. Then we launched our platform, and now we're closing a couple of deals a week. Pipeline is growing faster than one person can work it, so this is our second dedicated sales hire. You start day 1 with a warm pipe: most leads are already using the open-source framework.
What you'd sell: Platform (Studio, Server, infra to run/debug/observe agents in production, hosted or self-hosted for regulated orgs), Agent Builder (agents without code), and Concierge (embedded Mastra engineers working alongside customer teams). Full-cycle, mid-market: Series A–C, often with regulatory or infra constraints, sales cycles of a few weeks, talking to eng leaders.
You have: Closed full-cycle deals in dev tools, OSS, infra, or AI. Enough technical depth to come across as a smart PM with engineers: understand their use cases and scope a solution. Founder or founder mentality. Comfort with a product that ships something new every week.
Apply: { https://jobs.ashbyhq.com/Mastra/d5fe8d36-843a-4f9b-9d65-779e... } We get back to everyone.
Equall is an AI-native platform for corporate legal work in private markets. We extract and reconcile legal information from source documents (charters, SPAs, board consents) and produce auditable outputs: cap table tie-outs, governance dashboards, personnel summaries. Law firms use us to do due diligence in hours instead of weeks. Working with leading ECVC firms now, expanding into PE and M&A.
The role: own the knowledge graph at the core of the platform. Design the public APIs, build the Prefect pipelines that turn documents into structured graph data, run it in production on Kubernetes.
Stack: Python, Prefect, Postgres, Redis, Kubernetes.
Need: production backend experience (Python, Go, Rust, or Zig), data pipelines at scale, strong views on API design, comfort on k8s.
Bonus: built a graph DB, designed workflow orchestration, integrated LLM workflows into backend infra, Kafka.
Apply: https://jobs.ashbyhq.com/equall/48013ed1-8fab-4b49-b926-6d7e... and mention HN.
We make robots that autonomously construct buildings, starting with bricklaying.
There's a lot of vapourware in robotics, but we're deploying robots across multiple concurrent sites today - and generating revenue. In the last couple of months, our robots have built affordable social housing, health care living units, canal walls in the historic city centre of Amsterdam, and a youth sports centre. Help us to build things that matter in the long run.
We're looking for experienced software engineers for many roles. You can help us solve problems like:
- Data sync and analytics queries across a fleet of robots (that can be offline for hours at a time)
- Modelling buildings in code and finding the right UI for operators to edit them
- Designing systems for robots to drive safely and fully autonomously around a building site
Check out the progress we've already made on Atrium, our operating system for robotics: https://www.monumental.co/atrium
We're rapidly scaling up operations - we're already hiring operators in the UK too - and we need experienced engineers who can build the systems that manage all of that complexity. If you think that 'full-stack' could reasonably mean debugging firmware, mixing buckets of mortar _and_ writing React components, we are looking for you. Robotics experience not required!
Take a look inside our software stack: https://www.youtube.com/watch?v=eh9BfQoKCy0
Staff SWE, Platform (SF) https://grnh.se/h4368vl55us
Staff SWE, Product Security (SF/NYC) https://grnh.se/b2kbmt3j5us
Staff & Sr SWE (SF, NYC, DC) https://grnh.se/6jhp864a5us // https://grnh.se/gwf63pot5us
Senior SWE, Foundations (SF/NYC) https://grnh.se/mn995net5us
Sr SWE, Data Infrastructure (SF/NYC/DC) https://grnh.se/bq138yn05us
Senior SWE, Federal Platform (DC) https://grnh.se/pma2hbgx5us
Sr SWE, Traffic (SF) https://grnh.se/tdpez89u5us
Staff Product Designer (SF /NYC) https://grnh.se/ydegg9tl5us
Product Operations Manager (SF) https://grnh.se/0lopbszc5us
Lyra is building an AI-native platform to solve the problem of mission integration that exists today: a slow, expensive, and manual process of information extraction and design for satellite missions. You will work on a small, fast-paced team that interfaces directly with government agencies and industry experts to build the initial version of our platform.
We are looking for a generalist that is comfortable building full-stack products, using AI tooling, and building data analysis/extraction pipelines.
Package: Health insurance, generous equity, competitive salary
Email: tanmayi@lyraspace.co
Website: https://lyraspace.co/
At Tandem Health we're building the AI-native operating system for clinics, so clinicians can focus on care rather than administration. We're building, launching and iterating quickly, and already support more than 10,000 care organisations across 14 European markets, including most of the NHS. We recently raised a $100M Series B to go further, faster.
It started with our AI medical scribe, which listens in to the patient-clinician encounter to generate medical records and saves clinicians 5-10 minutes per patient. Today our AI medical assistant supports clinicians before, during and after each visit, with medical coding and clinical decision support, three products certified as medical devices under EU MDR.
We're expanding our Stockholm team with exceptionally driven builders in a wide range of roles.
More info and application at https://tandemhealth.ai/about/careers
Feel free to reach out to me at john.moberg[at]tandemhealth.ai if you have any questions, but please don't send applications my way
CoVar is a small R&D company specializing in AI/ML and software development for defense and healthcare. Bootstrapped and profitable. We're looking for a jack-of-all-trades who can: prototype computer vision algorithms, build Python web services, wrangle large sets of data from disparate classes of sensors, ... any or all, with the only hard requirement being eagerness to learn.
Visit covar.com for more information on our current openings!
We build long-endurance autonomous aircraft and the software used to operate them.
Looking for a strong generalist software engineer. Most application work is TypeScript/web, with C/C++ and Rust elsewhere in the stack. You’ll work across frontend, backend, cloud, DevOps, and directly with flight test and hardware teams.
We care a lot about code quality, maintainability, and engineers who can take ambiguous problems and independently ship solid software. No sloppers.
U.S. defense/security eligibility required.
Apply: software@khaero.com
SwingVision uses computer vision to turn a single phone camera into an automated stats, highlights, and line-calling system for tennis, pickleball, and padel. Models run on-device in real time, and the app won an Apple Design Award for Innovation. We're growing the ML and product teams.
- Head of Machine Learning: https://jobs.deel.com/swingvision/job-details/c2cc0f23-3e59-...
- Machine Learning Engineer: https://jobs.deel.com/swingvision/job-details/cc271cef-58f7-...
- Head of Product: https://jobs.deel.com/swingvision/job-details/cb631dcb-1a80-...
- Machine Learning Intern: https://jobs.deel.com/swingvision/job-details/0597eeac-eded-...
- Data Labeling Intern: https://app.deel.com/job-boards/swingvision/job-details/a9a7...
Product Engineer: (React/Typescript) who would work closely with product and design to build user-facing parts of the platform. You will craft performant, stable frontends that explain technical concepts to non-technical users and help us iterate fast based on customer feedback.
We're looking to build our in-person team in NYC!
Apply: https://starbridge.ai/careers and mention HackerNews or email recruiting@starbridge.ai with your resume in pdf format.
We build AI agents that run revenue for short-term rental and hotel operators on Booking.com and Airbnb: live prices, promotions and visibility on real portfolios, plus an MCP connector so customers work their accounts from Claude and ChatGPT.
Our engineers no longer type most of the code. Claude Code and Codex do. The hard part is knowing what to build, how it should fit together, and whether what the agent wrote is actually right. You will talk to customers, own the architecture, write the briefs, and catch what the agent missed.
We do not care which language you know.
We care that you can do architecture (single source of truth, clear boundaries, the right layer for a fix) and that you already ship this way.
Big bonus if you have worked on hotels, short-term rentals or dynamic pricing.
Small team, paying customers, hard problems (private OTA APIs, PMS integrations, pricing decisions that move real money). Three interview stages, no take-home. Email me (CTO) directly: martin@mydatavalue.com
FutureSearch builds AI that predicts the future. You can see our public track record on our site. We launched the FutureSearch product this August. We also publish benchmarks and datasets, and do work for frontier AI labs.
I'm the CEO, previously CTO of Metaculus and creator of Google's current internal prediction market. FutureSearch is about ten people, remote-first and concentrated in London.
We're hiring (US pay, adjusted to the local market elsewhere):
- Chief Operating Officer, $180–250k - Director of Partnerships, $160–240k - Director of Strategic Projects, $140–220k - Head of Product, $160–240k - Program Manager, Research, $130–190k - Research Scientist, $160–250k
See the jobs and apply at https://futuresearch.ai/careers/
We're founding an in-house AI unit and hiring its first two engineers. You'd work directly with the unit's head and shape how it's built from day one. Software work: LLMs, data, APIs and the systems around them.
Senior AI/ML Engineer: LLM assistants and agents over real company data, Arabic and Saudi-dialect language work, a proper evaluation practice, and open-weight models on our own hardware. The unit publishes research, with the opportunity to co-author.
Senior Backend Engineer: the services and integrations connecting AI to enterprise systems and operational data, on a modern serverless stack. Reliability, security and clean data are the job.
Package: competitive salary, housing and transport allowances, family medical insurance, annual flights.
Apply at https://zalvi.app, a short game-like screening assessment we built ourselves (English or Arabic). Shortlisted applicants move to the next stage.
We're preparing a U.S. Department of Education SBIR Phase IA proposal to build an assessment reasoning platform for school speech-language pathologists. It implements TTL-MSM, a fully specified decision framework for one of the hardest calls in school eligibility evaluations: whether a student's communication profile reflects a disorder or a difference. Clinicians code each source of evidence, and a fixed rule combines them. The rules are written; the software isn't. The research lead is at Baylor University.
Prototype Developer ($70–95/hr): build a browser-based web app from a written spec, with privacy designed in from the start so it's ready for FERPA-protected student data later. About 15–20 hrs/week for nine months if funded.
Technical Product Lead ($75–100/hr): the bridge between the clinical spec and the engineering. Scope the prototype, turn the spec into requirements, and keep the build on schedule. About 5–8 hrs/week for nine months if funded.
Pre-award scoping (10–15 hrs for the developer, 5–10 for the lead) is unpaid, and funded work is contingent on award. U.S. citizens or permanent residents.
Apply (structured application, about 30 minutes; replies within five business days):
I run the US West Specialist Field Engineering team at CoreWeave. We work hand in hand with the labs pushing the boundaries of AI, on some of the largest GPU Kubernetes clusters in the world. Specialist Field Engineers own the technical side of the customer relationship: architecture, proofs of concept, and the hard debugging nobody else can do. What you learn in the field feeds straight back into the product.
Must live near one of the cities above. This is a hybrid role, and we do not offer relocation.
Must have deep experience in these areas. It's in the title. The work we do goes exceptionally deep, and we need people who are already experts in one of these areas.
* Kubernetes [ https://grnh.se/7j1kydde6us ] You've written a production k8s operator, in go or rust. Bonus: GPU scheduling (device plugins, topology, MIG, RDMA), control plane scaling at thousands of nodes, Slurm, CNCF contributions.
* Security [ https://grnh.se/jxbek1o66us ] You've secured large-scale infrastructure and can trace an identity or isolation problem from the IdP, through the kernel and network, into Kubernetes. Bonus: threat modeling against SOC 2/FedRAMP, confidential computing and attestation, Falco/Tetragon, DPU/GPU/secure boot.
* Storage [ https://grnh.se/137kuvyv6us ] You've built or run a parallel filesystem (VAST, WEKA, Lustre) at scale, and can explain in detail how S3 works under the hood. Bonus: NFS-over-TCP debugging at scale, checkpointing for AI training, CSI drivers, kernel NFS/Lustre/Ceph contributions.
* Compute Infrastructure [ https://grnh.se/q3hmrcf56us ] You've brought up and validated large GPU clusters on GB200/GB300-class hardware, from InfiniBand/RoCE fabric validation thorugh PXE boot and NCCL acceptance. Bonus: firmware/BMC/BIOS, bare metal, Kubernetes, or Slurm.
If you're local and that's you, apply through the links above (they route to me) and mention HN.
Fusionality builds integrated operations technology for fusion devices, spanning real-time diagnostics, control, actuators, data systems, and simulation. Built on decades of operational experience at the Swiss Plasma Center at EPFL, we help fusion teams run their machines more safely, reliably, and efficiently through combined physics, software, hardware, and control expertise.
* Senior Control Systems Engineer
* Computational Scientist / Scientific Machine Learning
* Data/ML engineer, fusion data
Learn more & apply at: https://fusionality.com/careers/
Remote: Yes (EU/US time zones)
Willing to relocate: Yes.
Technologies: Rust, Python (PyTorch, NumPy/Pandas, Flask, Django), PyO3 Databases/infra: Postgres, ClickHouse, Qdrant, Redis, Kafka, Docker, Kubernetes (k8s) ML and systems: vLLM, TensorRT, Ray, edge ML inference, gRPC/Protobuf, systems profiling (perf, flamegraphs, Valgrind) Rust focus: Async services (Tokio, Axum/Actix), data/compute (Polars/Arrow), database proxies, performance-critical pipelines.
Domain expertise: - Academic: PhD in mathematics (topological data analysis, representation theory), MSc finance, MSc neuroscience. - Applied: database proxies/networking, quant dev and backtesting engines, ML/DL for banking & finance (risk/fraud), LLMs and agentic frameworks (tools, planning, eval), image processing, audio processing.
Résumé/CV: available upon request
Systems-oriented ML/LLM engineer specializing in Python/PyTorch and Rust for low-latency, high-throughput services. I have 8+ years of professional experience with Python and machine learning, and 5 years of production experience in Rust.
I thrive at the intersection of complex math and low-level systems. I've worked across multiple heavy domains, with deep experience building high-performance database proxies, modeling financial risk and architecting LLM agentic workflows, alongside applied work in audio and image processing. Actively exploring remote or relocation opportunities where I can apply my deep mathematical background and backend developer skills to hard engineering challenges.
Open to full-time roles or freelance/contract work (able to invoice B2B via my own company).
Email: hn [at-symbol] vixe.re
We are a funded and backed venture building the regulated base layer for tokenized commodities including the US-regulated trading venue, Mint and benchmarks, bridging institutional commodity markets and on-chain finance. Commodity markets trade tens of trillions a year on infrastructure designed for paper-based trading; we are what comes next. Launching Q1 2027.
Roles currently available:
VP of Engineering: owns the platform end to end, from on-chain contracts (Avalanche) to the trading engine, custody integrations and institutional-grade security and operations. A VP or SVP who still builds and ships, not one who just manages others; you will have a real say in the architecture before we finalize it and will work with leaders in tech and commodities. You must have done this before: delivered a trading venue or institutional token issuance, end to end. $200K to $300K base plus equity depending on experience and location.
Lead Product Manager: works with our partners and customers to ensure the launch product suite is fit for purpose and aligns participant experience across onboarding, trading, collateral and reporting. You must have shipped products in a regulated financial venue, exchange, clearing house or institutional crypto platform, you write the spec yourself, and you have run product through a regulator's questions. $150K to $240K base plus equity.
We hire on written replies and quality of CVs. We read every reply ourselves, so please write yours yourself. Send a short note on what you have built that is closest to the seat, with references, to careers@neo.co and put the role in the subject line. Please mention you came from HN.
Kanmon is a venture-backed fintech startup making business financing more accessible.
Our team is growing and we are looking for an ambitious full stack engineer with 2–4 years of experience who loves building, moves fast, and wants real ownership.
You will work with a small, talented engineering team, ship meaningful products, and have a real impact from day one. It's also a role where you wear many hats.
full stack TypeScript, +++ energy
mags@kanmonhq.com
* we have a public handbook (posthog.com/handbook) if you want to learn how we work, pay and more in complete detail.
* we are growing through more autonomy and transparency not through process.
* we have a ton of scale and a bunch of super interesting technical problems to solve
* we're building 20 more products over the next couple of years, so you could end up building one of those
* public compensation calculator! see immediately what you'd get paid
* we're hiring: ai research engineer, technical customer success managers (americas & emea), finance manager, site reliability engineer, and more. https://posthog.com/careers
We build and run our own brands (race finders, training tools, AI guides, sports media) with a small remote team and a lot of AI agents.
Most of our brands have an identity that is good enough. We want someone with a sharp eye to make them good: logo refinements, lockups, favicons, social and OG images, colour and type rules. It's polish and judgment, not starting from scratch. Our agents do the digging, so you spend your time designing.
Please include identity work that is live somewhere. There's a short assessment, read by a person. https://wetheflywheel.com/en/careers/brand-product-designer/...
United Risk is a global property and casualty insurance underwriting and distribution platform, with practices from surety to aviation to fine art. Our in-house AI team builds the tools that make specialist underwriters quicker and smarter: submission ingestion, underwriting workbenches, risk analysis and back-office automation.
All roles: 0–4 years of experience (internships and co-ops count; new grads and junior engineers welcome), strong Python, working SQL, and something you built that you can show us: GitHub, a deployed app or a portfolio. Each role leans one way, but everyone works across apps, data and infrastructure, and three senior AI engineers review your work. Start dates from December 2026.
Hybrid: in office at Rockefeller Center, NYC; you'll need to live within commuting distance (NY/NJ/CT).
Stack: Python, SQL Server, Azure AI services (incl. Document Intelligence), Claude and OpenAI APIs, self-hosted models on our own GPUs
- Application Development (full-stack): AI apps and agentic workflows underwriters use every day, including LLM document extraction with human review built in. https://jobs.lever.co/auw/9234d6e2-f306-48d9-9cd6-9192d34d88...
- Data Science: pipelines, models and RAG/document Q&A that turn submissions, policies and loss runs into risk insight; a grounding in statistics. https://jobs.lever.co/auw/6f317af6-4362-4dea-accc-e86ec1d102...
- Infrastructure/DevOps: deploy, monitor and secure AI apps on Azure, run models on our own GPU servers, CI/CD and pipelines; Linux and a major cloud. https://jobs.lever.co/auw/515a3498-4257-4e68-91ff-cf82e854f1...
Benefits: Our Benefits Include: - 100% employer-paid medical, dental, and vision insurance for employees. - 401(k) plan with 100% immediate vesting and a 4% company match. - Paid time off (PTO) and paid holidays. - Life, disability, critical illness and accident insurance. - Employee Assistance Program (EAP). - Pre-tax Flexible Spending Accounts for health, dependent care, and commuter-related expenses. - Tuition reimbursement. - Fitness reimbursement and various additional quality-of-life benefits.
We're a small, bootstrapped, profitable AI consulting firm. We embed with small and mid-size businesses (wealth management, real estate, construction, higher ed, nonprofits), learn how the work actually gets done, build what makes sense (mostly Claude: skills, agents, connectors, MCP) and train every person until they don't need us. We went from 1 client in February to about 20.
You'd own client relationships end to end: discovery, the build, the training. Strong builders who can also explain things to a 60-year-old business owner do very well here.
Apply (written answers + a short video, about an hour): https://www.bridgeaiconsulting.com/careers?src=hn
At Shepherd, we're pursuing the most ambitious technical vision in commercial insurance: fully autonomous underwriting. Shepherd is an AI-native commercial insurance platform transforming how high-hazard industries get covered.
The infrastructure behind the AI boom (data centers, semiconductor fabs, renewable energy assets) has to be built and insured, but traditional carriers weren't built for this speed. We built Shepherd to solve that.
We announced our $42M Series B earlier this year! That brings our total funding to over $60M — led by Intact Private Capital, the investment arm of one of the largest insurers in the world. Intact is not only our lead investor but also a carrier partner, a testament to the confidence the incumbent industry has in what we're building.
We’re looking for product-minded, high ownership engineers to join our team! The Engineering team is HQ’d in SF, but we’re growing in NYC now too!
We’re hiring for 2 Senior SWEs, 1 MLE and 1 AI PM in SF, and 2 Staff SWEs in NYC. Engineers own projects end-to-end so full stack ability is expected.
Check out our open roles here: https://shepherdinsurance.com/careers Our stack includes: Typescript, React, Next.js, GraphQL w/ Apollo, Node.js, Postgres & Redis – If you have experience building AI agents or multi-step reasoning systems, we’d love to hear from you.
* In the form, be sure to mention that you heard about this opportunity via Hacker News. If you want to read more about our team and culture, check out our blog: https://shepherdinsurance.com/blog
Please note: working proficiency in Dutch is strictly required for these roles, and we kindly ask for no automated applications. The rest of this post will continue in Dutch.
Wij zijn een non-profit die zich inzet om lesmateriaal voor scholen beter, betaalbaarder en flexibeler te maken, in zowel digitale als gedrukte vorm.
Werktijden en kantoordagen zijn flexibel en worden in overleg bepaald op basis van de rol. Wij bieden een competitief salaris.
Openstaande rol:
- Senior Frontend Engineer Ervaring met Yjs of vergelijkbare CRDT frameworks/algoritmen vereist.
E-mail jobs[at]openeducation.foundation met (HN) + de functienaam in het onderwerp, samen met een korte introductie en een link naar je LinkedIn-profiel en/of GitHub. Als er van beide kanten een goede match lijkt te zijn, plan ik graag een kennismakingsgesprek in.
Our group at Cambridge works on Earth Observation foundation models (Tessera: v1 https://arxiv.org/abs/2506.20380, v2 https://arxiv.org/abs/2607.03949, https://geotessera.org/) and we've started a collaboration with Manchester to understand how they can be used to improve pollution models and then environmental decision making in general. This involves training new models and doing high-resolution inference across national or even global scales, as well as figuring out how to use that data to help policymakers make better decisions.
As part of this work we have a PhD studentship through the joint Manchester-Cambridge Centre for Doctoral Training for AI in Decision Making for Complex Systems. This involves one year at Manchester doing taught postgraduate study and then three years at Cambridge for the PhD.
Our work is all open source and involves solving significant compute and data challenges. Training our current-generation model takes ~250k GPU hours and a single year of global inference needs to move over 5.5 petabytes of data through the inference pipeline. This project would suit someone with strong machine learning and software engineering experience. We can help you build the atmospheric science and Earth Observation skills.
We are a highly collaborative group who spend our time not only on foundational research but also on developing applications with practitioners and decision makers. Our work sees use in many industrial, academic and government environments for problems like crop classification, tree species mapping and change detection.
You can find out more here: https://www.findaphd.com/phds/project/from-satellite-to-stre... - if you have questions about the project you can contact me, Sadiq Jaffer, at sj514@cam.ac.uk . For questions about the application process you'll want aidecisionscdt@manchester.ac.uk .
Application deadline is Friday 4th of December with a course start date of September 2027.
Synteq is a developer cloud running our own hardware and network. We do large-scale bare-metal, GPU, VPS, storage, and PaaS deployments across 5 US datacenters.
- Growth Lead: own top of funnel for a developer cloud product, covering SEO, community, PLG, and partnerships. Open to people new to growth or with some experience. https://synteq.com/career/growth-lead
- Systems Administrator: Proxmox hypervisors, networking, physical builds, Ceph, and bare metal. Ideally 2–15 YOE. https://synteq.com/career/systems-administrator
Small, close-knit team that takes on hard problems. We've grown a lot this past year and there's much more ahead. Come build it with us.
Hi HN, I'm Adriaan. Simple Analytics exists thanks to HN: it started with my Show HN in 2018 [1]. Today we're a self-funded, profitable team of four building privacy-first analytics.
Privacy is why we run our own bare-metal servers instead of the cloud. We're preparing for a LOT more traffic, and you'll own the infrastructure and its reliability. We have good documentation. First project: leading the infra side of our Elasticsearch to ClickHouse migration, with Alex, our developer.
Stack: Ansible, OpenTofu, Docker Compose, Grafana, GitHub Actions, TypeScript. Clear async communication matters more than knowing every tool.
You can apply from your terminal:
curl https://www.simpleanalytics.com/jobs/devops.md [1] https://news.ycombinator.com/item?id=18024277