Systems Development Engineer, Research Compute Platform, Fauna

Benefits

Parental leave

6 weeks From the posting source checked Jun 20, 2026

Non-birth-parent leave

6 weeks From the posting source checked Jun 20, 2026

Family-building benefits

• Fertility benefits: Offered From the posting source checked Jun 20, 2026
• Adoption assistance: Offered From the posting source checked Jun 20, 2026
• Surrogacy assistance: Not verified

Mental health support

Offered From the posting source checked Jun 20, 2026

Relocation assistance

Not verified

Childcare support

Offered From the posting source checked Jun 20, 2026

Learning budget

Not verified

Verification

Source-linked checked Jun 7, 2026

Salary

$142K-$192K From the posting source checked Jun 20, 2026

401(k) match

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

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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

44% 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.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Company stage

Public-company From the posting source checked Jun 20, 2026

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

Systems Development Engineer, Research Compute Platform, Fauna New York, New York, USA We are seeking a Systems Development Engineer to own the research compute platform for Fauna Robotics. You will build and operate the physical and virtual infrastructure that our ML scientists use to train reinforcement learning policies for real robots, from fleet provisioning and job scheduling to cloud burst capacity and environment reproducibility. This role requires both strong systems engineering fundamentals and genuine comfort working alongside researchers. The ideal candidate is as happy diagnosing a GPU thermal fault as they are designing a job scheduler, and treats “the scientist's training run just works” as the north star for everything they build. Key job responsibilities - Own on-prem GPU compute end-to-end: provisioning, imaging, driver and CUDA management, monitoring, failure diagnosis, hardware RMA, and capacity planning - Build and operate a job scheduling layer (Slurm, Ray, SkyPilot, or equivalent) so scientists submit training runs without managing individual machines - Design and implement the bridge between on-prem and cloud compute - Partner directly with ML scientists to triage training issues, profile workloads, identify bottlenecks, and advise on how to structure training for the hardware at hand About the team Fauna Robotics, an Amazon company, is building capable, safe, and genuinely delightful robots for everyday life. Our goal is simple: make robots people actually want to live and interact with in everyday human spaces. We believe that future won't arrive until building for robotics becomes far more accessible. Today, too much effort is

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