2 дня назад
Software Engineer, II - Data Engineering (Robotics)
139 000 - 166 800$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer, II - Data Engineering (AWS/Robotics): Building AWS-native data ingestion, ETL, storage, and data lake systems for autonomous vehicle analytics, simulation, and ML training with an accent on scalable pipelines, distributed storage, and data governance. Focus on designing resilient high-volume workflows, integrating cloud services, and supporting safety-critical self-driving vehicle software.
Location: Remote-first role associated with Ann Arbor, Michigan and Blacksburg, Virginia; US-based position
Salary: $139,000–$166,800 USD annually, plus bonus and stock options
Company
Develops software for automated trucks and autonomous driving technology as part of the Daimler family.
What you will do
- Build AWS-native data ingestion, ETL, storage, and data lake solutions for analytics, simulation, and ML training.
- Create resilient pipelines processing large daily data volumes from vehicle fleets and simulation environments.
- Scale distributed storage, data crawling, discovery, validation, versioning, provenance, and governance.
- Acquire and integrate datasets from internal and external sources.
- Design and deliver cloud-based solutions in collaboration with perception, planning, control, mapping, and vehicle testing teams.
- Participate in business-hours on-call support for deployed systems.
Requirements
- Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, or a related technical field with 4+ years of relevant experience, or a master’s degree with 0–3+ years of experience.
- Experience deploying, troubleshooting, monitoring, and maintaining Linux systems.
- Experience building and maintaining workloads in public cloud environments, particularly AWS.
- Knowledge of relational and NoSQL databases, vector stores, data warehousing, and distributed data stores.
- Practical experience with Bash scripting, Docker, and containerization.
- Experience with DAG-based workflows, test-driven development, CI/CD, and infrastructure as code.
Nice to have
- Experience with Databricks, Ray, pandas, NumPy, and AWS serverless architectures.
- Experience with data storage and acquisition for robotics and advanced driver assistance systems.
- Experience owning end-to-end architecture and delivery of cloud-based solutions.
Culture & Benefits
- Distributed, remote-first team with daily standups, planning sessions, and collaboration through Zoom and Slack.
- Collaborative work environment focused on sustainable development and work-life balance.
- 100% paid medical, dental, and vision premiums for full-time employees.
- 401(k) plan with a 6% employer match, life insurance, and AD&D coverage.
- Flexible schedule and generous paid vacation available immediately after starting.
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