Applications Engineer, AI Server Software

Applications Engineer, AI Server Software Performance

This role serves as the technical bridge between engineering teams, customers, and strategic partners. The individual will lead training and inference benchmarking activities, support customer proof‑of‑concept engagements, and contribute to software development initiatives.

• Evaluate performance of AI servers across training and inference testing benchmarks
• Build and maintain catalog of performance and benchmark data across benchmark models
• Lead implementation and support customer testing / proof of concept demonstrations of inference and training models on servers
• Own E2E LLM deployment across NVIDIA and AMD platforms, from kernel optimization on CUDA and ROCm to production ready inference stacks.
• Drive internal and external testing and benchmarking initiatives, including 3rd party benchmarks like MLCommons’ MLPerf Inference and MLPerf Training workloads.
• Serve as a technical bridge between OEM partners and chip manufacturers (e.g., NVIDIA, AMD, Supermicro, Dell), translating hardware capabilities into optimized software solutions for training and inference workloads.
• Identify and resolve performance bottlenecks across the full server stack, from driver and firmware compatibility to model quantization (FP8/FP4) and throughput tuning.

• Bachelor's degree in Computer Engineering or Computer Science;
  Master’s Degree preferred.
• Minimum of 5 years of relevant industry experience following completion of degree.
• Familiarity with CUDA and RocM software platforms.
• Strong written and verbal communication skills.
• Experience analyzing, interpreting, and presenting technical data to both internal and external reporting.
• Excellent project management skills.

• Base salary: competitive and based on experience, skills, and qualifications
• Annual performance bonus
• Comprehensive health, dental, and vision insurance
• 401(k) with company match

Akash Systems does not sponsor or take over sponsorship for employment visas for this role (e.g., H‑1B, O‑1, TN, F‑1/OPT, etc.). Eligible candidates are U.S. citizens or U.S. lawful permanent residents (Green Card Holders).