Senior AI Performance Engineer
SambaNova Systems · San Jose, California, United States
Posted about 3 months ago
or apply directly on SambaNova Systems's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 80 days SambaNova Systems's roles stay open a median of 69 days
- Reposted
- No
- Salary listed
- No 0% of SambaNova Systems's roles list one
- Ghost-job risk at SambaNova Systems
- high 57 stale, 2 reposted of 57 open
- Hiring momentum
- 68 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-23
Measured from postings appearing on and disappearing from SambaNova Systems's own greenhouse board since 2026-08-03. Full hiring picture for SambaNova Systems.
About this role
As a Senior AI Performance Engineer at SambaNova, you will optimize and scale advanced foundation models on the company's unique reconfigurable dataflow platform. Your role involves profiling model performance, collaborating with various teams to enhance AI applications, and integrating cutting-edge techniques in model architecture and optimization. You will also be responsible for identifying performance bottlenecks and developing efficient end-to-end inference solutions.
- benefits
- 5/5
- freshness
- 1/5
- career value
- 5/5
- role clarity
- 5/5
- 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 SambaNova Systems as an employer.
What you need
- Bachelor's or higher degree in computer science, electrical engineering, or a related field
- 3+ years of experience in deep learning model development and performance optimization
- 3+ years of experience in compiler, runtime, or kernel-level optimization
- 3+ years of experience in software–hardware co-design or systems performance tuning
- Proficiency in Python or C++
- Strong foundations in algorithms, data structures, and numerical computing
Nice to have
- Hands-on experience with LLM or multimodal model training and inference
- Background in large-scale distributed training, continuous batching, and high-throughput inference systems
- Familiarity with quantization, graph optimization, kernel fusion, and model partitioning
- Experience with frameworks such as DeepSpeed, Megatron, vLLM, or TensorRT
- Strong GPU programming skills (CUDA, Triton, or OpenCL)
What you get
- Competitive total rewards package including base salary and equity
- 95% premium coverage for employee medical insurance
- 77% premium coverage for dependents
- Health Savings Account (HSA) with employer contribution
- Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans
- Flexible Spending Account (FSA) options
Worth weighing
- Base salary range is $180,000 to $255,000, which may vary based on experience and qualifications.
- The role involves working with cutting-edge technology, but the specific tech stack and tools used are not detailed beyond the major ML frameworks mentioned.
Summarised from SambaNova Systems's posting. Read the full original.
Listed by SambaNova Systems on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.
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