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Hardware Performance Engineer Jobs (NOW HIRING)

... hardware, and infrastructure layers • Strong communication skills -- you should be able to explain performance tradeoffs to both engineers and customers Preferred : • Experience with CUDA, Triton ...

Senior Performance Engineer

San Jose, CA · On-site

$138K - $206K/yr

Collaborate with hardware and software teams to drive performance analysis, architecture ... MS in Computer/Electrical Engineering or Computer Science with 3+ years of relevant working ...

... hardware, and infrastructure layers • Strong communication skills -- you should be able to explain performance tradeoffs to both engineers and customers Preferred : • Experience with CUDA, Triton ...

They are seeking a Performance Engineer to join their team, focusing on improving software, hardware, and strategy performance to maintain competitiveness in exchanges globally. Responsibilities ...

Working at the intersection of hardware and software, you'll implement state-of-the-art techniques ... Performance Engineering: Kernel fusion, memory bandwidth optimization, profiling with Nsight

The people who work here have reinvented entire industries with all Apple Hardware products. The ... performance simulator Preferred Qualifications Bachelor of Science or Engineering in Electrical ...

Debug performance issues across the full stack from application to hardware * Implement custom ... Strong CUDA programming skills with production kernel development * Deep understanding of GPU ...

The people who work here have reinvented entire industries with all Apple Hardware products. The ... performance simulator Preferred Qualifications Bachelor of Science or Engineering in Electrical ...

NY · On-site

$64K - $103K/yr

The performance engineering role will contribute to an IMSA Weather Tech Championship program. This ... Propose and collaborate with engineering team to establish event related hardware, process, or ...

The people who work here have reinvented entire industries with all Apple Hardware products. The ... performance simulator Preferred Qualifications Bachelor of Science or Engineering in Electrical ...

The people who work here have reinvented entire industries with all Apple Hardware products. The ... Description • Architect cutting-edge CPU performance features in collaboration with RTL and ...

The people who work here have reinvented entire industries with all Apple Hardware products. The ... Description • Architect cutting-edge CPU performance features in collaboration with RTL and ...

The people who work here have reinvented entire industries with all Apple Hardware products. The ... performance simulator Preferred Qualifications Bachelor of Science or Engineering in Electrical ...

The people who work here have reinvented entire industries with all Apple Hardware products. The ... Description • Architect cutting-edge CPU performance features in collaboration with RTL and ...

The people who work here have reinvented entire industries with all Apple Hardware products. The ... performance simulator Preferred Qualifications Bachelor of Science or Engineering in Electrical ...

Showing results 21-40

Hardware Performance Engineer information

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$51K

$146.2K

$196.5K

How much do hardware performance engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for hardware performance engineer in the United States is $146,230.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,500.00 and $163,000.00 per year, depending on experience, location, and employer.

What are popular job titles related to Hardware Performance Engineer jobs?

For Hardware Performance Engineer jobs, the most frequently searched job titles are:

Infographic showing various Hardware Performance Engineer job openings in the United States as of August 2026, with employment types broken down into 3% Internship, 89% Full Time, and 8% Contract. Highlights an 97% In-person, and 3% Remote job distribution, with an average salary of $146,230 per year, or $70.3 per hour.

Performance Engineer

Palo Alto, CA • On-site

Full-time

Re-posted 25 days ago


Job description

Job Summary:
RadixArk is an infrastructure-first company focused on building world-class open systems for AI inference and training. They are seeking a Performance Engineer to enhance the performance of their AI systems across various environments, ensuring optimal usability, affordability, and reliability in production.
Responsibilities:
• Analyze and improve performance across SGLang, Miles, and RadixArk production deployments
• Benchmark LLM inference and training workloads across GPUs, TPUs, and cloud environments
• Optimize latency, throughput, memory usage, batching, scheduling, routing, and GPU utilization
• Investigate performance regressions in real customer environments
• Work closely with kernel, runtime, distributed systems, and product engineers
• Build internal tooling for profiling, tracing, benchmarking, and regression detection
• Translate customer workload characteristics into concrete performance tuning strategies
• Help define performance metrics that matter commercially, including cost-per-token and serving efficiency
• Partner with customers and cloud partners on deep technical evaluations
• Contribute performance insights back to open-source SGLang and Miles
Qualifications:
Required:
• Strong systems engineering background, especially in performance-critical software
• Experience with GPU systems, distributed systems, inference serving, ML runtimes, or high-performance computing
• Familiarity with profiling tools, performance debugging, tracing, and benchmark methodology
• Comfort working with Python and C++
• Understanding of LLM inference concepts such as batching, KV cache, prefill/decode, speculative decoding, MoE, long context, and P99 latency
• Ability to debug messy real-world performance issues across software, hardware, and infrastructure layers
• Strong communication skills — you should be able to explain performance tradeoffs to both engineers and customers
Preferred:
• Experience with CUDA, Triton, Pallas, ROCm, XLA, or kernel-level optimization is a strong plus
• Prior experience with production AI infrastructure, cloud GPU environments, or open-source ML systems is a plus
Company:
RadixArk focuses on developing infrastructure for AI inference and training systems. Founded in 2025, the company is headquartered in San Francisco, USA, with a team of 11-50 employees. The company is currently Early Stage.