Appear builds high-performance live media processing and video delivery infrastructure used by broadcasters, sports leagues, and streaming platforms worldwide. We focus on low-latency, high-throughput systems where reliability and performance are critical.
Role: Senior Software Engineer (Rust)
Tech stack: Rust, C/C++, distributed systems, Kubernetes, Linux, networking, media processing
What you'll do:
- Build high-performance backend systems in Rust - Work on distributed media processing platforms - Improve reliability, observability, and performance - Help shape technical architecture Looking for: - Strong experience with Rust, C, or C++ - Experience with high-performance or distributed systems - Solid Linux and networking fundamentals - Senior-level engineering experience Apply: https://nordictechjobs.com/jobs/Rw5OB5sISdCompany: We're a small scientific software development company that develops custom scientific and engineering analysis applications in domains including: space situational awareness (monitoring the locations, health and status of on-orbit satellites), image simulation, high power microwave systems, modeling and simulation, laser systems modeling, AI/ML including physics-informed neural networks (PINN), human body thermoregulation, computer vision and image processing, high performance computing (HPC), computer aided design (CAD), and more. All exciting applications and no CRUD. We emphasize high quality code and lightweight processes that free software engineers to be productive.
Experience: Except for interns, we currently require a Bachelors degree in physics, engineering, math, computer science, or a related field. Masters or PhD is a plus. (Roughly 25% of our staff have PhDs.)
Technologies: Lots of C++23, Qt 6.9, CMake, git, OpenGL, CUDA, Boost, Jenkins. Windows and Linux, msvc/gcc/clang/clangcl. AI/ML and analysis projects use Python and C++. Web projects use Java and Typescript/React.
Apply online: at https://www.stellarscience.com/careers/.
Thunder Compute is a GPU cloud for developers built on a proprietary software stack of C++ and GoLang. You will solve hard systems problems in production.
Quant dev / HFT SWE experience preferred, team from CitSec, Aquatic, Old Mission, AWS.
Email me: carl@thundercompute.com
ClickHouse is a popular, Open-Source OLAP Database. We are ClickHouse Inc, the company behind the database aiming to build the best in class real time data warehouse.
I am hiring for AutoScaling as well as Distributed Cache Production Engineer Roles
What we are looking for:
Distributed Systems / Cloud Engineers to build
- AutoScaling Systems for a Cloud Database - A Distributed Caching Layer on top of S3 [0] If you have experience in productionising cloud-based multi-tenant caches - you would fit right in.We also maintain our own ClickHouse-based Data Infrastructure. Bonus points if you've worked on auto-scaling or other data-driven forecasting challenges in the past.
Can work in a fast moving scale-up environment. Proactive and hands on. You must be independent and self-organized. Go, Kubernetes, Distributed Systems in general You'll need to be able to do On-Call - debugging production infra or db issues Low-level database programming (C++, ClickHouse) - This is crucial for the cache. If you want to work on operating production critical databases/caches in the cloud on or write data-driven algorithms for autoscaling, consider applying! Send me an email: manish.gill [at] clickhouse [dot] comPS: If you're a pure DevOps person or a pure Data Engineer who wrangles data tools, please read the above requirements carefully before firing off an email. This role is an intersection of a lot of sub-roles, not a particular specialization
[0] https://clickhouse.com/blog/building-a-distributed-cache-for...
We’re Quadrature, a technology company in the algo trading space. We use advanced machine learning on large amounts of data to predict trends in financial markets. More at https://quadrature.ai.
What makes us different:
- ~250 people, no traders — our systems trade autonomously.
- Single PnL.
- We don’t separate “quant researchers” from “developers” — everyone codes to a high level and has the opportunity to do research.
- Mission-driven: our climate foundation (https://www.qc.foundation/) has made significant divestment commitments over recent years. For many of us, it's why we're here.
We’re hiring Quant Developers — a generalist team of engineers and researchers who own both the research pipeline and software infrastructure across the entire business. Stack is Rust, Python and C++. We want sharp, collaborative people with no big egos.
Interested? Reach out here: li@qc.ai.
We build and deploy self-driving industrial vehicles - forklifts, tuggers - to real warehouses and factories across North America. Not a research lab, not a demo: our AVs are running production routes at customer sites today. Publicly traded (CYN), ~100 people, startup energy.
The stack touches everything from low-level C++/ROS2 on the vehicle to a Python + TypeScript cloud platform (fleet dashboards, real-time telemetry, digital twins, analytics). If you want to work on software that moves physical things in the real world, this is it.
Currently hiring across engineering, product, field ops, and business:
Cloud/Platform: Full Stack (Python + TS/JS, mid through staff level), Senior DevOps Lead (AWS, ROS/Linux, edge infra)
Autonomy: Perception & Deep Learning, Behavior/Planning/Controls, Calibration/Mapping/Localization, Robotics Integration - C++, ROS2, Python
Hardware: Senior Mechanical Engineer (concept through mass production)
Field: Deployment Engineer (on-site installs, 3D mapping, ROS tooling), Customer Solutions Engineer
Product/Business: Senior PM (fleet management platform), Program Manager, Strategic Ops & Data Analyst, Account Executive, Director of BD
Comp example: Full Stack mid–senior $153K–$171K (Bay Area). Benefits include medical/dental/vision, 401k, flexible PTO, remote/hybrid options, paid parental leave, and a headphone allowance on day one.
Play our forklift game for kicks: https://checkhumanity.com
Apply: https://jobs.lever.co/cyngn
We have a ton of smart people trying to solve the autonomy problem in warehouses for retrofitting processes. Come and join!
We are hiring two Product Engineers to join us in our newly opened office in SF. We're small and early and you'll help shape team culture.
Kinelo solves "context myopia": autonomous and semi-autonomous AI agents don't know what they don't know, so they can't search or find the background information required to accomplish tasks accurately and effectively. The result looks like slop but it's not due to model performance, more due to workflow integration. From there, we're rapidly moving into organizing humans together with autonomous "AI coworkers" into workflows that span both. Our goal is to change how organizations are run and structured.
Our #1 hiring criteria for this position is immense software wisdom, the kind not yet encoded in the weights of an LLM. We are not looking for artisans to meticulously craft single lines of code. We're looking for software engineers excited to use the leverage that AI offers for code production to permit focus on higher order technical architecture, product requirements, and user needs.
We're looking for enough experience that indicates accumulated wisdom in shipping and maintaining reliable, scalable software, solid CS fundamentals, experience taking products from 0 to 1, and versatility.
Our current tech stack includes TypeScript, a managed container service, Postgres, and Redis. But we are adaptive and you should be too. We highly value software engineering and computer science fundamentals and experience with other languages like Go, C++, Python is valued.
Competitive salary, meaningful (~first batch of hires) equity, founder previously exited to Apple, strong fundraising history (~$10m).
Please email us at jobs@kinelo.com. If you want to stand out, tell us how you think the job of a software engineer is changing. There's also a full JD here: https://job-boards.greenhouse.io/kinelo/jobs/4205846009
A software engineer today has Claude Code and Cursor. A mechanical engineer designing the next jet engine? Still searching Excel sheets and asking whoever has been around longest.
We're building the AI co-engineer for physical products - in production with major European manufacturers. Working at the intersection of 3D, reasoning, and long-horizon agents.
Stack: Python, TypeScript, multi-agent orchestration, LLM integrations. Recent work includes a custom multi-agent SDK for durable long-horizon execution and a production pipeline wrapping a C++ CAD SDK.
We are a small team and you own hard problems end-to-end. We offer a competitive salary + early equity.
Full JD: https://www.notion.so/Founding-Staff-Engineer-31b21f51314080...
If this sounds interesting, send your CV to hiring@3ive.ai and the answer to the following question: "What is the hardest technical problem you have owned end-to-end, what made it hard, and what did you learn?"
We're building a computational geometry engine from scratch in C++20. B-Rep modeling, surface-surface intersection, tolerance-aware geometric algorithms, and next-gen data exchange formats like QIF and STEP AP242. Clean codebase, no legacy code, no C++98.
If you've worked on a geometry kernel, CAD internals, or computational geometry libraries, you know how rare it is to find a modern codebase in this space. We're looking for someone who has actually implemented or worked closely with things like half-edge data structures, NURBS/spline evaluation, parametric surface operations, or spatial indexing for geometric queries. Experience with ACIS, Parasolid, or OpenCascade is a strong signal.
Huge bonus if you understand GD&T, tolerancing, or model-based definition well enough to implement it, not just read a drawing. The intersection of manufacturing domain knowledge and C++ engineering skill is exactly what we're building for.
Small team, early stage. Every engineer has real influence over architecture and technical direction. This is also a customer-facing role: you'll participate in demos and technical conversations with enterprise customers, so communication skills matter.
Requirements: modern C++ (C++17/20), US citizenship (required for government CUI work).
$95K–$125K base + performance bonuses, health insurance, 401k match, home office budget, professional development budget. Fully remote, US time zones.
jobs@rubypoint.io
Beacon AI builds intelligent systems that make aviation safer and more autonomous. We’ve completed multiple DoD programs and are expanding our team with exceptional technical leaders to push the boundaries of human-machine collaboration in the cockpit. At Beacon, you will lead by example, mentoring and growing a small team of talented engineers (typically 1–2 to start) while staying hands-on in design and execution. You’ll help shape critical systems that advance aviation safety and autonomy, working alongside a team that values effort, creativity, and accountability.
We’re hiring Lead Engineers with 5-9 YOE who love solving complex problems. At Beacon, you’ll own your work end-to-end, from prototype to deployment, and literally see your code take flight in real world aviation environments! Roles:
++ Lead iOS Engineer [Tech Stack: Swift, SwiftUI, UIKit, Mapbox]
++ Lead Infra/Backend Engineer [Tech Stack: AWS]
++ Lead WebApp/FrontEnd Engineer [Tech Stack: Python, Typescript, React]
++ Lead Autonomy/Robotics Engineer [Tech Stack: C++, Python, iOT]
Join us at beaconai.co/careers. Mention in the application that you saw our post on HN.
You’ll work on the projects best suited for you. Projects range widely, and include:
- Scientific tools
- Automation & robotics (Linux & ROS level)
- Embedded C/C++ (typically owned by dedicated firmware engineers, but software engineers are welcome to learn!)
- Linux, CUDA, Server engineering for our AI safety, security, and verification work
- Custom simulation software (usually python)
- Data analysis pipelines (python)
- Organisational tooling (Typescript, react, postgres, etc.)
Structure: Small teams of software, mechanical, electronics, and firmware engineers build end-to-end systems, typically shipping within a few months.