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 ...
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 ...
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 ...
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 ...
Description In this role, you will dive deep into performance issues surfaced across Apple's ecosystem and will be working with cross-functional partner teams from various apps and frameworks to ...
Description In this role, you will dive deep into performance issues surfaced across Apple's ecosystem and will be working with cross-functional partner teams from various apps and frameworks to ...
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 ...
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 ...
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 ...
New
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 ...
New
Architecture & Performance Modeling Engineer
Saratoga, CA · On-site
$210K - $265K/yr
Today's AI performance is frequently limited by communication bottlenecks. Eridu introduces ... Eridu is working with best-in-class supply chain partners including silicon, packaging and systems.
Architecture & Performance Modeling Engineer
Saratoga, CA · On-site
$210K - $265K/yr
Today's AI performance is frequently limited by communication bottlenecks. Eridu introduces ... Eridu is working with best-in-class supply chain partners including silicon, packaging and systems.
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 ...
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 ...
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 ...
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 ...
OS Performance Engineer, CoreOS
$150K - $277K/yr
Description In this role, you will dive deep into performance issues surfaced across Apple's ecosystem and will be working with cross-functional partner teams from various apps and frameworks to ...
OS Performance Engineer, CoreOS
$150K - $277K/yr
Description In this role, you will dive deep into performance issues surfaced across Apple's ecosystem and will be working with cross-functional partner teams from various apps and frameworks to ...
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 ...
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 ...
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 ...
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 ...
Senior Performance Engineer - Apple Frameworks
$184K - $324K/yr
In this role, you will dive deep into our system architecture and user interface systems, establish ... A key aspect of this role includes partnering and collaborating with other performance and client ...
Senior Performance Engineer - Apple Frameworks
$184K - $324K/yr
In this role, you will dive deep into our system architecture and user interface systems, establish ... A key aspect of this role includes partnering and collaborating with other performance and client ...
Our Mid-Year and Year-End processes are the most critical moments in our performance and talent ... Partner with Product and Tech teams to define AI-enabled use cases, establish fairness and ...
Our Mid-Year and Year-End processes are the most critical moments in our performance and talent ... Partner with Product and Tech teams to define AI-enabled use cases, establish fairness and ...
Our Mid-Year and Year-End processes are the most critical moments in our performance and talent ... Partner with Product and Tech teams to define AI-enabled use cases, establish fairness and ...
Our Mid-Year and Year-End processes are the most critical moments in our performance and talent ... Partner with Product and Tech teams to define AI-enabled use cases, establish fairness and ...
Our Mid-Year and Year-End processes are the most critical moments in our performance and talent ... Partner with Product and Tech teams to define AI-enabled use cases, establish fairness and ...
Our Mid-Year and Year-End processes are the most critical moments in our performance and talent ... Partner with Product and Tech teams to define AI-enabled use cases, establish fairness and ...
... meet partner needs. You will also play a key role in industry-standard benchmarks and external ... Lead performance tuning, profiling, and analysis of large-scale models (LLMs, diffusion, multimodal ...
... meet partner needs. You will also play a key role in industry-standard benchmarks and external ... Lead performance tuning, profiling, and analysis of large-scale models (LLMs, diffusion, multimodal ...
Software Engineer - Model Performance - Special Projects
Cupertino, CA · On-site
$172K/yr
... partners in design and engineering You make the people around you better - through mentoring ... or performance optimization Practical knowledge of how LLMs work at the lowest level of model ...
Software Engineer - Model Performance - Special Projects
Cupertino, CA · On-site
$172K/yr
... partners in design and engineering You make the people around you better - through mentoring ... or performance optimization Practical knowledge of how LLMs work at the lowest level of model ...
Technical Program Manager - Performance & Benchmarking
Sunnyvale, CA · On-site
$150K - $194K/yr
The Technical Program Manager will lead complex programs in Performance & Benchmarking, ensuring ... Partner with engineering and infrastructure teams to deliver programs that verify new hardware ...
Technical Program Manager - Performance & Benchmarking
Sunnyvale, CA · On-site
$150K - $194K/yr
The Technical Program Manager will lead complex programs in Performance & Benchmarking, ensuring ... Partner with engineering and infrastructure teams to deliver programs that verify new hardware ...
Senior Performance Engineer, Data Protection & Security Platform Engineering
Santa Clara, CA · On-site
$179K - $198K/yr
... leader in AI-powered data security and management. Aided by an extensive ecosystem of partners ... In this role, you will be responsible for driving performance, scalability, and resiliency ...
Senior Performance Engineer, Data Protection & Security Platform Engineering
Santa Clara, CA · On-site
$179K - $198K/yr
... leader in AI-powered data security and management. Aided by an extensive ecosystem of partners ... In this role, you will be responsible for driving performance, scalability, and resiliency ...
What the day-to-day looks like:","responsibilities":"Investigating ML model performance and power ... partners in design and engineering You make the people around you better - through mentoring ...
What the day-to-day looks like:","responsibilities":"Investigating ML model performance and power ... partners in design and engineering You make the people around you better - through mentoring ...
Partners In Performance information
See Santa Clara, CA salary details
$38.2K - $46.7K
22% of jobs
$46.7K - $55.1K
0% of jobs
$57.5K is the 25th percentile. Wages below this are outliers.
$55.1K - $63.6K
10% of jobs
$63.6K - $72.1K
5% of jobs
The median wage is $78.5K / yr.
$72.1K - $80.6K
17% of jobs
$80.6K - $89.1K
16% of jobs
$93.3K is the 75th percentile. Wages above this are outliers.
$89.1K - $97.6K
10% of jobs
$97.6K - $106.1K
4% of jobs
$106.1K - $114.6K
9% of jobs
$114.6K - $123K
6% of jobs
$123K - $131.5K
1% of jobs
$38.2K
$80.2K
$131.5K
How much do partners in performance jobs pay per year?
As of Jul 26, 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?
| Aspect | Partners In Performance | Business Analyst |
|---|---|---|
| Required Credentials | Industry-specific certifications, project management experience | Bachelor's degree in Business, IT, or related field; often certifications like CBAP or PMI-PBA |
| Work Environment | Consulting firms, client sites, project-based | Corporate offices, project teams, client organizations |
| Employer & Industry Usage | Consulting firms, performance improvement sectors | Businesses across industries, IT, finance, healthcare |
| Search & Comparison Intent | Performance improvement, consulting roles | Business 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:
Full-time
Posted 9 days ago
Job description
Job Summary:
RadixArk is an infrastructure-first company focused on building world-class open systems for inference and training in AI. The Performance Engineer will analyze and improve performance across various production deployments and benchmark LLM inference and training workloads, ensuring optimal operation of AI systems in real environments.
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++
• 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
• Understanding of LLM inference concepts such as batching, KV cache, prefill/decode, speculative decoding, MoE, long context, and P99 latency
• 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.
RadixArk is an infrastructure-first company focused on building world-class open systems for inference and training in AI. The Performance Engineer will analyze and improve performance across various production deployments and benchmark LLM inference and training workloads, ensuring optimal operation of AI systems in real environments.
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++
• 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
• Understanding of LLM inference concepts such as batching, KV cache, prefill/decode, speculative decoding, MoE, long context, and P99 latency
• 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.