Senior/Staff Software Engineer, Infrastructure (ML)
Nimble Robotics · San Francisco, CA
Posted 29 days ago
or apply directly on Nimble Robotics's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 29 days Nimble Robotics's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 46% of Nimble Robotics's roles list one
- Ghost-job risk at Nimble Robotics
- high 19 stale, 0 reposted of 35 open
- Hiring momentum
- 46 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Nimble Robotics's own greenhouse board since 2026-08-03. Full hiring picture for Nimble Robotics.
About this role
As a Senior/Staff Software Engineer on the ML Infrastructure team at Nimble, you will be responsible for building and maintaining the training and inference systems for their general-purpose warehouse robots. Your role involves optimizing GPU utilization, developing low-latency inference pipelines, and ensuring efficient model training processes. You will collaborate closely with ML and Robotics teams, mentor junior engineers, and contribute to design reviews and documentation.
- benefits
- 4/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Nimble Robotics as an employer.
What you need
- Bachelor’s, Master’s, or PhD in Computer Science or a related field, or equivalent practical experience
- 4+ years of industry experience in infrastructure, distributed systems, ML systems, robotics, or a related area
- Experience with programming languages such as Rust, Go, Python, or C++
- Experience with ML frameworks such as PyTorch or JAX
- Strong understanding of distributed systems, systems programming fundamentals, memory management, and performance optimization
- Experience with Kubernetes orchestration, resource scheduling for large distributed jobs, and containerized deployment pipelines
Nice to have
- Hands-on experience with distributed training frameworks and techniques such as PyTorch DDP/FSDP, DeepSpeed, Megatron, or NCCL
- Hands-on experience with GPU kernel development
- Experience with data engineering technologies such as Parquet, Arrow, or similar systems
What you get
- Unlimited Flexible Time Off
- Health Insurance
- Paid Parental Leave
- Commuter Benefits
- Referral Bonus
- 401k
Worth weighing
- High-intensity and fast-moving environment may not suit everyone
- No specific mention of remote work options or flexibility beyond unlimited time off
- The role involves significant ownership and responsibility, which may be challenging for some candidates
Summarised from Nimble Robotics's posting. Read the full original.
Listed by Nimble Robotics on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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