Hardware performance analysis jobs

Graphics (GPU) RTL Design Engineer

Apple · Posted Nov 10, 2026

Open

Austin, Texas, United States
On-site
3+ years

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Graphics (GPU) RTL Design Engineer

Apple · Posted Nov 10, 2026

Open

Austin, Texas, United States
On-site
3+ years

Apply with Referso

GPU RTL Design Engineer

Apple · Posted Nov 10, 2026

Open

San Diego, California, United States
On-site
10+ years

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Design and manufacture next-generation, high-performance, power-efficient GPU micro-architectures for low power mobile devices and high-performance personal computers.

Responsibilities

Deliver high-quality, low-power graphics IP meeting performance, timing, and area goals
Explore design trade-offs while exercising rigorous design principles
Understand and contribute to pioneering micro-architectural specifications
Collaborate closely with multi-functional teams in architecture, validation, modeling, and physical design

Requirements

Skills

GPU Schedulers Execution Units Texture/Pixel Units Caches synthesis tools timing analysis floor planning PNR flow hardware performance analysis

Founding Kernel Engineer

Luminal · Posted Nov 7, 2026

Open

San Francisco, California, United States
On-site
Full-time
$150K–$250K per year
Visa sponsorship

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Research and build faster kernels for AI workloads. You'll work closely with the compiler team, investigate performance bottlenecks, and take optimizations through correctness checks, benchmarking, and execution on real hardware.

Compensation

Annual base salary: $150,000–$250,000 USD. Equity: 0.15%–0.75%. Visa: Will sponsor.

Responsibilities

Research and build faster kernels for AI workloads
Work closely with the compiler team
Investigate performance bottlenecks
Take optimizations through correctness checks, benchmarking, and execution on real hardware
Develop agent-driven systems that write, test, and improve kernels

Requirements

Nice to have: kernel autoresearch frameworks
Nice to have: ML compilers
Nice to have: CUDA
Nice to have: Triton
Nice to have: GPU instruction sets

Skills

GPU kernel development Hardware performance analysis memory hierarchies parallel execution benchmarking