Member of Technical Staff - Infrastructure Engineer, Frontier AI & Robotics (FAR)

Benefits

Parental leave

Not verified not verified - source not recorded

Non-birth-parent leave

6 weeks Verified - from the job posting source checked Jun 20, 2026

Family-building benefits

• Fertility benefits: Offered Verified - from the job posting source checked Jun 20, 2026
• Adoption assistance: Offered Verified - from the job posting source checked Jun 20, 2026
• Surrogacy assistance: Not verified

Mental health support

Offered Verified - from the job posting source checked Jun 20, 2026

Relocation assistance

Not verified

Childcare support

Offered Verified - from the job posting source checked Jun 20, 2026

Learning budget

Not verified

Verification

Source-linked checked Jun 7, 2026

Salary

$150K-$300K Verified - from the job posting source checked Jun 20, 2026

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

Was this benefit information wrong? Tell us.

Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

93% above the BLS role benchmark for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Member of Technical Staff - Infrastructure Engineer, Frontier AI & Robotics (FAR) San Francisco, California, USA Amazon's Frontier AI & Robotics (FAR) team is seeking a Member of Technical Staff, Infrastructure to build and scale the foundational systems that power our robotics research and development platform. In this role, you will design and operate the distributed infrastructure that enables our researchers and engineers to train foundation models, run large-scale experiments, and deploy intelligent robotic systems at Amazon scale. Join the next revolution in robotics, where you'll work alongside world-renowned AI pioneers to push the boundaries of what's possible in robotic intelligence. As a Member of Technical Staff focused on Infrastructure, you'll build the critical platform layer that accelerates every aspect of FAR's research - from high-throughput data pipelines and experiment management systems to low-latency model serving and configuration delivery for robotic deployments. This role is deeply technical and focuses on performance, scalability, and reliability at scale. You will design systems that support volumes of training data, operate with strict latency requirements, and provide the compute and data foundation that enables breakthrough research across FAR's robotics ecosystem. Key job responsibilities • Design and build scalable compute and data infrastructure to support model training, inferencing, and eval for frontier AI/Robotics development • Lead large technical initiatives and shape the architecture of FAR's research platform infrastructure • Develop tooling and frameworks that accelerate research workflows, including dataset management, visualization, and quality assessment systems • Optimize query performance and data availability for experimentation and

Read the full description at www.amazon.jobs. FewerJobs shows a preview and links to the original posting.