Robotics Software Engineer
📌San Francisco, United States 🇺🇸
⏱︎ full-time
🧙♂️ mid-level
on-site
We work 6 days a week in the office in downtown San Francisco, no remote available.
What is Aurelius Systems?
Aurelius Systems is a directed energy company developing edge-deployed laser systems for cUAS applications. We shoot down drones with laser guns
Why?
The US and our allies have prepared for a world where we will be fighting increasingly large and sophisticated systems (Planes, Aircraft carriers, etc), but this world never came. The future of warfare will involve large numbers of small-scale and mass-manufacturable drones, and we aren’t prepared to defend our country from these threats abroad or domestically. Aurelius Systems has set out to address this problem by equipping the US and our allies with the systems they need to fight current and future conflicts in a scalable and cost-effective manner.
Job Description
We are seeking a skilled Robotics Software Engineer to lead innovation and system integration as a member of our software team. This generalist role demands adaptability, self-direction, and a hunger to learn across a diverse range of fields. You will be responsible for everything from efficiently integrating and orchestrating the wide networks of systems, to developing novel, bespoke sensing implementations, to building test cases on the fly as you assist controls experts. It is up to you to ensure the wide array sub-systems developed by the team come together and operate as an effective drone-killing unit.
Key Responsibilities
- System Orchestration: Ensure all of the sub-systems across the entire stack are properly utilized. Effective sub-system integration and orchestration.
- Sub-System Development: Work with subject experts to create novel functionality in the domains of Machine Sensing, Computer Vision, Deep-Learning, Hardware Integration, Controls, SysID, etc
- Validation and Testing: Develop CI/CD pipelines and automated testing techniques to facilitate safe acceleration of technical development. HiTL test procedures.
- Diagnostics & Monitoring: Develop dashboards and telemetry for drift analysis, hardware health monitoring, performance metrics, and automated retraining triggers.
- Documentation & Mentorship: Author clear technical docs; mentor junior engineers on best practices in vision, sensor‑fusion, and embedded firmware engineering.
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Qualitative Goal Determination: Determines development needs by directly analysing technical and physical limitations of our goals.
- Hyper Engineer - your brain only releases dopamine when you're building
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Experience: 3–6 years in hardware adjacent software / robotics engineering roles
- Proficient in C++ and Python
- MUST have worked with actual hardware / robotics systems
- Hands‑on with ML frameworks (TensorFlow, PyTorch) and real‑time inference engines (TensorRT, OpenVINO)
- Familiarity with Docker, and CI/CD for ML pipelines
- Education: BS/MS in Computer Science, Robotics, Electrical Engineering, Mathematics, or related field (PhD a plus).
-
Soft Skills: Strong problem‑solving, communication, and cross‑functional collaboration ability.
- Edge‑AI optimization (quantization, pruning)
- Experience with FPGA or embedded GPU platforms
- Experience with multi‑sensor calibration and data synchronization
- Background in defense or safety‑critical systems
- Familiarity with cybersecurity guidelines and secure coding practices
Senior Embedded Software Engineer
@ Embedd 
What we're looking for
At embedd.it, we power hardware-software integration in embedded devices. We turn fragmented semiconductor chip data into configurable digital twins, then deterministically generate code, tests, and documentation – making integration faster, cheaper, and resilient to supply chain shocks.
We’re looking for a true legend – someone with abstract thinking and deep expertise in low-level software development. You’ll build vendor-agnostic tooling for MCU and peripheral integration to solve hardware-software integration once and for all. We work at the intersection of embedded systems, code generation, compilers, and machine learning. It’s your chance to help redefine how low-level development is done.
Responsibilities
- Drive the architecture of the driver structures and system layout
- Define scalable patterns for cross-architectural integration across bare-metal, Zephyr, Linux, and other environments
- Deconstruct complex SoC device trees and translate hardware descriptions into structured internal models for automated reasoning
- Partner with the ML team to shape data and annotation models for AI-driven data-extraction tooling
Qualifications
- 5+ years of experience in embedded systems development, including bare-metal and RTOS-based systems
- Proficiency in C/C++
- Familiarity with firmware configuration, SoC bring-up, and system-level debugging
- Hands-on experience with code generation tools, or low-level compiler/decompiler/emulator technologies
- Strong background in embedded toolchains: compilers, linkers, debuggers, and build systems
- Python or scripting for automation and tooling is a plus
- Experience with functional-safety standards is a plus
Why embedd.it?
- Dynamic, venture-backed team of engineers challenging the status quo 🚀
- Work at the intersection of embedded systems, code generators, compilers, and ML 🤖
- Unusual challenges requiring out-of-the-box abstract thinking 🧠
- Competitive compensation: cash + equity 💰
- Remote work possible 🌍
About Us
embedd.it is a UK-based startup reinventing embedded development. Our platform transforms unstructured semiconductor data into structured digital twins, enabling automatic generation of drivers, tests, and documentation. We're building a single, traceable source of truth to make integration fast, vendor-agnostic, and future-proof.
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Employment
⏱︎ full-time
-
Experience
🧙♂️ mid-level
-
Working model
on-site
-
Skills
-
Industry
-
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