Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Lead Engineer, Data Platform role.
Rezi rewrites your resume against Build AI's job description. Free.
Tailor your resume to this Lead Engineer, Data Platform role.
Rezi rewrites your resume against Build AI's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Lead Engineer, Data Platform posting at Build AI — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Lead Engineer, Data Platform posting at Build AI — free, in seconds.
About the Role
Build AI is seeking a lead for its data platform, responsible for transforming camera data into training-ready datasets for research customers. The role involves managing a large-scale data pipeline for physical AI, targeting 100 million hours of collection.
Responsibilities
- Own the data platform end-to-end: on-device capture, upload under flaky bandwidth, object storage, training-ready shards
- Manage compression, codecs, and storage-tier trade-offs for cost-effective data collection
- Develop robust upload capabilities that survive bad networks, including on-device buffering, batching, and retries
- Design object storage and training-shard formats for petabyte-scale media
- Oversee dataset packaging, versioning, and delivery to external research customers
- Collaborate with Shenzhen firmware teams to standardize ingest contracts
- Ensure visibility into health, cost, and drop rate as operations scale
Requirements
- Proven experience owning a production media or sensor data path at petabyte scale, including object storage, video codecs, compression, upload under flaky bandwidth, or training-shard/dataset formats
- Experience with data paths similar to Tesla Autopilot, Waymo, Cruise, Zoox, Nuro, Samsara, Verkada, Netflix encoding, YouTube ingest, Scale, or Eventual/Daft
- Strong software engineering skills in Python and at least one systems language
- Proficiency in Linux environments
- Focus on measuring cost and throughput
- Desire to scale in-the-wild physical-labor video data
Skills
- Python
- Systems programming
- Linux
- Object storage
- Video codecs
- Data compression
- Network upload optimization
- Dataset management
- Cloud platforms (AWS or GCP)
- Orchestration (Kubernetes, Airflow, Temporal)
- Infrastructure as Code (IaC)
- Multi-camera systems
- Pose estimation
Location
- San Francisco (Financial District)
- Shenzhen (Nanshan)
Work Type
- Fully in-person
Experience Level
- Lead
Benefits
- Competitive pay
- Medical, dental, and vision packages with generous premium coverage
- $500 per month credit for waiving medical benefits
- $2k per month housing subsidy for living near the office
- Relocation support for San Francisco or Shenzhen
- Various wellness benefits (fitness, mental health, etc.)
- Daily lunch and dinner provided
- Unlimited compute budget subject to ROI justification
About the Company
- Build AI is the data hyperscaler for Physical AI, co-designing hardware, collection, infrastructure, and research to rapidly scale physical labor datasets.
- The company believes in the Bitter Lesson and takes a general approach to learning from humans, targeting the entire physical labor market.
- Build AI operates as a fully in-person team in San Francisco and Shenzhen, valuing strong engineering skills and cross-disciplinary work between engineering and research.
Equal Opportunity
- Build AI is an equal opportunity employer. We review every application. If you do not meet every bullet, still apply.