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Job Description

The Software Engineer will focus on building and maintaining data pipelines for autonomous vehicle perception, emphasizing reliability and scalable labeling workflows.

Location: Foster City, CA (onsite)

Compensation: USD 75 - 83 per hour

Responsibilities

  • Build and operate the autolabeling pipeline to speed up vehicle attribute classification tasks
  • Develop observability tooling to monitor system performance, latency, and failure modes
  • Run experiments and analyze results to optimize labeling workflows
  • Integrate the pipeline with existing systems, partnering with data infrastructure teams
  • Document system architecture, prepare runbooks, and ensure smooth handoff at project completion

Requirements

  • 3+ years of backend or data pipeline engineering experience
  • Proficiency in Python and familiarity with C++
  • Experience handling large datasets using PySpark or similar tools
  • Understanding of ML fundamentals including model inference, embeddings, and evaluation metrics
  • Experience deploying foundation models such as Gemini, OpenAI, or Anthropic at production scale

Technologies

  • Python
  • C++
  • PySpark
  • Gemini
  • OpenAI
  • Anthropic

Benefits

  • Medical and Prescription Drug Plans
  • Dental Plan
  • Vision Plan
  • Health Savings Account
  • Health Flexible Spending Account
  • Dependent Care Flexible Spending Account
  • Supplemental Life Insurance
  • Short Term and Long Term Disability Insurance
  • Business Travel Insurance
  • 401(k), Plus Match
  • Weekly Pay
  • Opportunity to work on cutting-edge autonomous vehicle perception systems
  • Collaborate with a talented team of ML engineers and system architects
  • Contribute to innovative solutions that impact real-world transportation
  • Engage in a dynamic environment that values continuous learning and growth
  • Be part of a forward-thinking organization committed to technological advancement

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