Performance Engineer (AI)

Location: Sunnyvale, California, USA; hybrid working model

Salary: $370,040–$394,900 plus equity

Company

hirify.global is building an AI platform for autonomous driving, enabling vehicles to learn from real-world experience and improve at scale.

What you will do

• Profile machine-learning workloads across training and cloud inference to identify system and kernel-level bottlenecks.
• Design and implement efficiency improvements for parallelism, compilation, mixed precision, caching, throughput, and utilization.
• Build reusable cross-target optimizations, including kernels, data loaders, and frameworks such as Triton.
• Design benchmarking tools to measure efficiency gains and detect regressions.
• Partner with platform teams on cloud GPU hardware strategy and readiness.
• Work with Research and model teams to establish performance optimization practices.

Requirements

• 10+ years of industry experience in performance engineering across ML systems, GPU infrastructure, distributed platforms, or similar areas.
• Experience optimizing large-scale workloads on GPU compute clusters for training, inference, or both.
• Experience writing, reporting, and tracking performance benchmarks.
• High-quality, well-structured, tested Python development skills.
• BS or MS in Machine Learning, Computer Science, Engineering, or a related technical discipline, or equivalent experience.
• Ability to work in a hybrid setup based in Sunnyvale, California, USA.

Nice to have

• Experience with concurrent, parallel, and distributed computing.
• Experience optimizing inference serving systems, including latency, throughput, batching, and caching.
• Experience with NVIDIA Nsight Systems or other system profilers.
• Experience implementing GPU kernels with CUDA or Triton.
• Knowledge of computing fundamentals related to code speed, security, and reliability.

Culture & Benefits

• Hybrid work combining in-person collaboration with remote focus time.
• Meaningful equity and market-benchmarked salaries.
• Relocation support and visa sponsorship where applicable.
• Learning and development budgets for training, conferences, and growth.
• Health, dental, retirement or pension, wellbeing, parental leave, and therapy benefits where applicable.

Hiring process

• Initial recruiter call.
• Deep-dive technical interviews covering programming, system design, domain expertise, and technical leadership.
• Final mission and values alignment interview.