2 дня назад
Senior Software Engineer, Edge Platform (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer, Edge Platform (AI): Building production firmware, drivers, connectivity, and deployment tooling for modular industrial sensors and edge gateways with an accent on signal conditioning, calibration, and reliable operation in embedded environments. Focus on integrating detectors, rejecting noise, deploying AI models on constrained hardware, and delivering secure updates and system recovery.
Location: Somerville, Massachusetts, United States; hybrid
Company
builds human-centric self-driving factory systems that combine inline sensors, physics- and chemistry-grounded AI models, real-time process control, and operational insights for industrial manufacturers.
What you will do
- Own the sensor signal chain, including ADC acquisition and timing, filtering, integration, averaging, and calibration.
- Integrate new detectors and sensing elements, supporting board bring-up through production-ready drivers.
- Develop Zephyr firmware for detectors within the modular sensor stack.
- Design noise-rejection solutions for vibration, EMI, thermal drift, and other industrial conditions.
- Build on-device calibration workflows, coefficient storage, third-party calibration procedures, and sensor provisioning.
- Ship drivers, OTA updates, health monitoring, and connectivity to the Edge Gateway.
Requirements
- 4+ years of experience building production systems software.
- Deep Linux experience with administration, networking, filesystems, troubleshooting, and performance analysis.
- Experience shipping software into on-premises, edge, embedded, robotics, or other environments outside direct control.
- Practical experience with bare-metal infrastructure, hypervisors, virtual machines, and containers.
- Strong experience with Rust, Python, C/C++, or Go, including automation and systems tooling.
- Experience with edge AI/LLM deployment, monitoring, recovery, secure software updates, and a relevant degree or equivalent practical experience.
Nice to have
- Experience deploying ML models and LLMs on edge hardware, including inference runtimes and resource constraints.
Culture & Benefits
- Autonomous, ownership-oriented environment focused on demanding technical excellence.
- Medical, dental, vision, life insurance, disability, transportation, and wellness benefits.
- 401(k) plan with employer matching, equity, competitive salary, and bonus opportunities.
- Flexible time off, 12 company-paid holidays, and a conference and learning budget.
- Access to Greentown Labs and its cleantech startup network, plus regular team events.
Hiring process
- An interview process is described in the posting, but no specific stages are provided.
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