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Partners In Performance Jobs in Santa Clara, CA (NOW HIRING)

RadixArk

Performance Engineer

Palo Alto, CA · On-site

... partners on deep technical evaluations • Contribute performance insights back to open-source SGLang and Miles Qualifications : Required : • Strong systems engineering background, especially in ...

RadixArk

Performance Engineer

Palo Alto, CA · On-site

... partners on deep technical evaluations • Contribute performance insights back to open-source SGLang and Miles Qualifications : Required : • Strong systems engineering background, especially in ...

Astera Labs

Performance Engineer

San Jose, CA · On-site

By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to ... In this role, you will define how the world measures scale-up fabric performance. You'll build the ...

Astera Labs

Performance Engineer

San Jose, CA · On-site

By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to ... In this role, you will define how the world measures scale-up fabric performance. You'll build the ...

Astera Labs

Performance Engineer

San Jose, CA

In this role, you will define how the world measures scale-up fabric performance. You'll build the ... Partner closely with ASIC architecture, firmware, software, Product Definition, Product ...

Nvidia

CPU Performance Architect

Santa Clara, CA · On-site

$196K/yr

Partnering with lead microarchitects to meet the CPU core's performance, area, and power targets. * Advocating for microarchitectural ideas, communicating their benefits and drawbacks in various ...

Nvidia

Principal CPU Performance Architect

Santa Clara, CA · On-site

$196K/yr

Partnering with lead microarchitects to meet the CPU core's performance, area, and power targets. * Advocating for microarchitectural ideas, communicating their benefits and drawbacks in various ...

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All JobsPartners In Performance JobsPartners In Performance Jobs in Santa Clara, CA

Partners In Performance information

See Santa Clara, CA salary details

$38.2K

$80.2K

$131.5K

How much do partners in performance jobs pay per year?

As of Aug 18, 2026, the average yearly pay for partners in performance in Santa Clara, CA is $80,154.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,900.00 and $97,500.00 per year, depending on experience, location, and employer.

What is the difference between Partners In Performance vs Business Analyst?

AspectPartners In PerformanceBusiness Analyst
Required CredentialsIndustry-specific certifications, project management experienceBachelor's degree in Business, IT, or related field; often certifications like CBAP or PMI-PBA
Work EnvironmentConsulting firms, client sites, project-basedCorporate offices, project teams, client organizations
Employer & Industry UsageConsulting firms, performance improvement sectorsBusinesses across industries, IT, finance, healthcare
Search & Comparison IntentPerformance improvement, consulting rolesBusiness process analysis, requirements gathering

Partners In Performance typically focuses on consulting and performance improvement projects, often requiring industry-specific certifications and client-facing work. Business Analysts primarily analyze business needs, gather requirements, and support project development within organizations. While both roles involve process improvement, Partners In Performance emphasizes consulting expertise, whereas Business Analysts focus on internal business analysis and solution implementation.

What job categories do people searching Partners In Performance jobs in Santa Clara, CA look for?

The top searched job categories for Partners In Performance jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Partners In Performance jobs?

Cities near Santa Clara, CA with the most Partners In Performance job openings:

Partners In Performance jobs near you
Infographic showing various Partners In Performance job openings in Santa Clara, CA as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $80,154 per year, or $38.5 per hour.

Performance Engineer

RadixArk

Palo Alto, CA • On-site

Full-time

Re-posted 3 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.

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