Senior/Staff Software Engineer — Machine Learning and System Optimization

Job overview

The Senior/Staff Software Engineer — Machine Learning and System Optimization role is listed in Boston, Massachusetts; the posting does not specify whether the work is onsite, hybrid, or remote. Base salary is $254,000–$350,000 per year. Zoox is developing an autonomous vehicle fleet and mobility-as-a-service ecosystem; this role supports its Perception team. The engineer optimizes and deploys large-scale perception models on vehicle systems, allocating compute resources and improving inference efficiency. The work enables low-latency, deterministic model execution on power- and thermal-constrained vehicle hardware.

What you'll do

• Allocate CPU, GPU, and interconnect resources to models and inference engines
• lead initiatives to improve compute utilization through model sharing, fusion, and scheduling
• optimize large-scale models using quantization, pruning, mixed-precision inference, and parameter-efficient fine-tuning
• build TensorRT model conversion and compilation pipelines
• write production-level C++ and CUDA code for real-time vehicle inference.

What we're looking for

Skills & competencies

senior/staff software engineer

machine learning

system optimization

autonomous vehicles

perception models

cuda

c++

tensorrt

boston ma

zoox

$254k–$350k/year

real-time inference

edge deployment

Work arrangement

• Weekend coverage required

Benefits & perks

• Paid time off, including sick leave, vacation, and bereavement
• unpaid time off
• Zoox Stock Appreciation Rights
• Amazon restricted stock units
• health insurance
• long-term care insurance
• short- and long-term disability insurance
• life insurance.

Why this role

Focuses on production deployment of large-scale models, including language and vision-language models, on power- and thermal-constrained vehicle systems.

About the employer

Zoox is hiring for this role. Industry: Automobile and Light Duty Motor Vehicle Manufacturing. Sector: 33.