Senior or Staff Software Engineer (Robotics)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Senior or Staff Software Engineer (Robotics): Building a scalable data platform and internal Capability Factory for training and deploying skills to robots, with an accent on backend services, petabyte-scale data pipelines, and reliable compute infrastructure. Focus on designing distributed systems, orchestrating large-scale workflows, and connecting ML training and evaluation with real-world robot performance.
Location: On-site in London, UK
Company
develops commercially scalable and safe robots, including the HMND-01 Alpha platform used in industrial pilots.
What you will do
- Build the Capability Factory, an internal platform for teaching HMND robots new skills from raw data through deployed capabilities.
- Curate, preprocess, validate, and manage robot telemetry datasets approaching petabyte scale.
- Design and operate scalable data pipelines, workflow orchestration, and compute infrastructure.
- Collaborate with ML teams on MLOps, training workflows, and evaluation systems connecting models with real-world robot performance.
- Develop data warehouses and BI dashboards for data collection, model progress, and operational health.
- Establish best practices for data versioning, access control, security, compliance, and production reliability.
Requirements
- 5+ years of software engineering experience and a record of delivering complex systems end to end.
- Strong backend engineering skills, including production APIs and services, data modeling, error handling, and performance optimization.
- Experience building reliable batch and streaming data pipelines at petabyte scale, including data quality and schema evolution.
- Expertise in workflow orchestration, distributed systems, cloud infrastructure, and Kubernetes operations.
- Ability to build both backend and frontend components of internal products.
- Production ownership experience, including on-call incident response, observability, and postmortem-driven improvements.
Nice to have
- ML infrastructure or MLOps experience, including training jobs, model artifacts, and evaluation pipelines.
- Experience with distributed compute frameworks and large-scale parallel data processing.
- Robotics or embodied AI knowledge, including robot data formats, sensor telemetry, or sim-to-real evaluation.
- Experience with BI, data warehouses, multi-cloud storage, or designing usable internal tools for non-engineers.
Culture & Benefits
- Competitive equity through stock options.
- 30+ paid days off, including annual leave, UK bank holidays, and company closure days.
- Private healthcare with virtual and in-person care.
- Pension scheme with an 8% total contribution on full earnings.
- Free daily breakfast, catered lunch, and snacks in the office.
- Work alongside engineers, researchers, and product experts developing robotics and AI.
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