обновлено 3 часа назад
Robotics Software Engineer (Autonomous Vehicles)
276 100 - 293 750$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Robotics Software Engineer (Autonomous Vehicles): Building production online calibration and state-estimation software for autonomous vehicles with an accent on asynchronous sensor data, hardware-accelerated platforms, and fleet-level observability. Focus on adapting estimation algorithms, optimising constrained runtime systems, and designing simulation, replay, bench, and on-vehicle testing for nominal and failure scenarios.
Location: Hybrid role based in London, UK or Sunnyvale, US
Salary: $276,100–$293,750 per year
Company
is building an AI platform for autonomous driving that enables vehicles to learn from real-world experience and adapt across complex urban environments.
What you will do
- Extend the online calibration node and deliver reliable production software for the on-vehicle runtime.
- Adapt and integrate calibration and state-estimation algorithms for continuous or on-demand onboard execution.
- Handle asynchronous sensor data, accelerator-produced features, and noisy, time-varying calibration parameters.
- Strengthen validation, gating, persistence, logging, runtime interfaces, and fleet-level observability.
- Profile and optimise compute, memory, storage, and latency while preserving correctness and debuggability.
- Build simulation, replay, bench, and on-vehicle tests covering nominal and failure scenarios.
Requirements
- Practical expertise in sensor calibration, state estimation, or a related robotics domain, including cameras, LiDAR, IMUs, vehicle parameters, or multi-sensor systems.
- Strong understanding of Kalman-family filters, Bayesian estimation, smoothing, robust estimation, or factor-graph optimisation.
- Strong modern C++ skills and proficiency in Python for prototyping, analysis, and test tooling.
- Experience productionising algorithm-heavy robotics software for vehicles, robots, drones, aerospace systems, or comparable edge platforms.
- Experience with asynchronous, high-throughput sensor data and hardware-accelerated pipelines, including optimisation of constrained compute and memory systems.
- Strong software architecture, API design, testing, debugging, performance profiling, and cross-functional collaboration skills.
Nice to have
- Experience with visual odometry, SLAM, localisation, sensor fusion, ego-motion estimation, or geometric computer vision.
- Experience with GPU, DSP, NPU, or other hardware-accelerated robotics workloads.
- Production software experience at scale in robotics or autonomous-systems companies.
- Experience with embedded Linux, edge-state management, rollback, automotive safety, or fault-injection testing.
Culture & Benefits
- Hybrid working with in-person collaboration in offices and workshops, remote work, and core hours.
- Relocation support and visa sponsorship where applicable.
- Meaningful equity and market-benchmarked salaries.
- Learning and development budgets for training, conferences, and professional growth.
- Health, dental, retirement or pension benefits, enhanced parental leave, therapy access, wellbeing partnerships, and team socials.
Hiring process
- Initial recruiter screen followed by a competency interview.
- Deep-dive technical interviews covering C++/Python programming, sensor calibration, robotics system design, and technical leadership.
- Final interview focused on values and team alignment.
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