Developer Jobs in Foster City, CA

1 job found

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1mo ago

Software Engineer, Perception Attributes Autolabeling Pipeline

Manpower Engineering Foster City, CA

Foster City, CA

1mo ago Closed

$75 - $83/hr Full time Python Automation Big Data

This position is no longer accepting applications (closed Jun 27, 2026).

Job Description

Onsite in Foster City, CA, this Software Engineer role focuses on the Perception Attributes Autolabeling Pipeline, delivering data pipeline engineering and reliable systems for autonomous vehicle perception. The position offers an hourly rate of USD 75 to 83 and requires a minimum of 3 years of backend or data pipeline experience.

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

Technologies

Python
C++
PySpark
Gemini
OpenAI
Anthropic

Responsibilities

Build and operate the autolabeling pipeline to accelerate vehicle attribute classification tasks
Develop observability tools to monitor system performance, latency, and error modes
Run experiments and analyze outputs to optimize labeling workflows
Integrate the pipeline with existing systems, collaborating with data infrastructure teams
Document system architecture, create runbooks, and ensure smooth handoff at project completion

Requirements

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

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