Performance Engineer Jobs in San Jose, CA
Performance Engineer jobs in San Jose are concentrated in North San Jose, Downtown, and the Alviso corridor, with strong demand across semiconductor, enterprise software, and cloud infrastructure sectors. Employers hiring right now include TikTok, AMD, and Samsung Semiconductor Inc (US). Find a role that fits below and apply directly.
Find Performance Engineer JobsOverview
Open roles165+
Top employerTikTok
Work type87% On-site
Top credentialMaster's degree
Companies hiring9
Showing 5 of 165+ Performance Engineer jobs
Principal Software Engineer — AI Performance & Reliability
We won't show you this job again
New 17h ago
AMD
Principal Software Engineer — AI Performance & Reliability
San Jose, California
New 17h ago
Principal Engineer, Architecture & Performance Research for Data Center and Agentic AI CPU
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New 23h ago
Samsung Semiconductor Inc (US)
Principal Engineer, Architecture & Performance Research for Data Center and Agentic AI CPU
San Jose, California
New 23h ago
Senior Performance Test Engineer
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New 23h ago
First Tech Federal Credit Union
Senior Performance Test Engineer
San Jose, California
New 23h ago
Research Engineer — Training Performance & ML Compilation (Torch Compile) - Seed Infra
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Added 1mo ago
ByteDance
Research Engineer — Training Performance & ML Compilation (Torch Compile) - Seed Infra
San Jose, California
Added 1mo ago
Aerodynamics Engineer – Conceptual Sizing & Performance
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Added 1mo ago
archer
Aerodynamics Engineer – Conceptual Sizing & Performance
San Jose, California
Added 1mo ago
New 17h ago
Principal Software Engineer — AI Performance & Reliability
AMD·San Jose, California
Job functions:
Master's degree
5,001-10,000 employees
Job Description
Overview:
Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career.
Responsibilities:
This role is a strong fit for an engineer who enjoys working across the AI software and hardware stack, solving technically challenging performance problems, and partnering directly with customers to make them successful.
You will help customers achieve meaningful improvements in model performance and system reliability. You will identify difficult bottlenecks, develop reusable solutions, and help shape the infrastructure and product capabilities needed to run demanding AI workloads efficiently at scale.
Qualifications:
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
This posting is for an existing vacancy.
ADVANCE YOUR CAREER. ADVANCE THE WORLD.
At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future.
Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career.
THE ROLE:
We are looking for a strong, Principal or Fellow level software engineer to join our AI Infrastructure team. You will work on improving the performance, efficiency, and reliability of AI workloads across both model training and inference.
Our team supports a broad range of machine learning systems, including large language models, diffusion models, and recommendation models. You will collaborate closely with customers and internal engineering teams to understand performance bottlenecks, optimize workloads, and ensure that models run reliably at scale.
This role is a strong fit for an engineer who enjoys working across the AI software and hardware stack, solving technically challenging performance problems, and partnering directly with customers to make them successful.
You will help customers achieve meaningful improvements in model performance and system reliability. You will identify difficult bottlenecks, develop reusable solutions, and help shape the infrastructure and product capabilities needed to run demanding AI workloads efficiently at scale.
THE PERSON:
- Profile and optimize AI model training and inference workloads.
- Improve model throughput, latency, memory efficiency, scalability, and reliability.
- Identify bottlenecks across models, frameworks, compilers, runtimes, operating systems, and hardware.
- Optimize workloads involving large language models, diffusion models, recommendation systems, and other modern machine learning architectures.
- Develop performance tooling, benchmarks, automation, and observability systems.
- Investigate and resolve complex production issues affecting AI workloads.
- Collaborate with customers to understand their technical requirements, reproduce issues, and recommend effective solutions.
- Translate customer feedback into product and infrastructure improvements.
- Work closely with machine learning engineers, systems engineers, hardware teams, and product teams.
- Document performance findings, technical recommendations, and best practices.
KEY RESPONSIBILITIES:
- Strong software engineering skills and experience building production-quality systems.
- Experience working with AI infrastructure for model training, inference, or both.
- Demonstrated experience profiling and optimizing machine learning models or AI workloads.
- Strong foundations in computer architecture, including processors, memory hierarchies, parallelism, and performance tradeoffs.
- Solid understanding of systems performance concepts such as latency, throughput, memory bandwidth, utilization, and distributed communication.
- Proficiency in languages such as Python, C++, or similar systems-oriented programming languages.
- Experience with machine learning frameworks such as PyTorch, TensorFlow, or JAX.
- Strong debugging and analytical skills, with the ability to investigate problems across multiple layers of the technology stack.
- Clear written and verbal communication skills.
- A customer-focused mindset and willingness to work directly with customers through technical evaluations, deployments, troubleshooting, and ongoing support.
PREFERRED EXPERIENCE:
- Experience optimizing large language models, diffusion models, or recommendation models.
- Experience with GPU, accelerator, or distributed computing environments.
- Familiarity with technologies such as ROCm, HIP, CUDA, Triton, XLA, MLIR, NCCL, or similar performance-oriented tools and runtimes.
- Experience with distributed training, model serving, quantization, compilation, kernel optimization, or memory optimization.
- Experience operating AI systems in production environments.
- Prior experience in solutions engineering, field engineering, developer relations, or another customer-facing technical role.
- Experience designing benchmarks and conducting systematic performance analysis.
ACADEMIC CREDENTIALS:
- A PhD (or a master’s degree with equivalent experience) in artificial intelligence, machine learning, computer science, or a related field.
LOCATION:
San Jose, CA or Bellevue, WA preferred (Hybrid). Other US locations may be considered.
#LI-MV1
#HYBRID
Qualifications:
Benefits offered are described: AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
This posting is for an existing vacancy.
AMD
Principal Software Engineer — AI Performance & Reliability
San Jose, California
New 17h ago5,001-10,000 employees
Job functions:
Master's degree
Job Description
Overview:
Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career.
Responsibilities:
This role is a strong fit for an engineer who enjoys working across the AI software and hardware stack, solving technically challenging performance problems, and partnering directly with customers to make them successful.
You will help customers achieve meaningful improvements in model performance and system reliability. You will identify difficult bottlenecks, develop reusable solutions, and help shape the infrastructure and product capabilities needed to run demanding AI workloads efficiently at scale.
Qualifications:
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
This posting is for an existing vacancy.
ADVANCE YOUR CAREER. ADVANCE THE WORLD.
At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future.
Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career.
THE ROLE:
We are looking for a strong, Principal or Fellow level software engineer to join our AI Infrastructure team. You will work on improving the performance, efficiency, and reliability of AI workloads across both model training and inference.
Our team supports a broad range of machine learning systems, including large language models, diffusion models, and recommendation models. You will collaborate closely with customers and internal engineering teams to understand performance bottlenecks, optimize workloads, and ensure that models run reliably at scale.
This role is a strong fit for an engineer who enjoys working across the AI software and hardware stack, solving technically challenging performance problems, and partnering directly with customers to make them successful.
You will help customers achieve meaningful improvements in model performance and system reliability. You will identify difficult bottlenecks, develop reusable solutions, and help shape the infrastructure and product capabilities needed to run demanding AI workloads efficiently at scale.
THE PERSON:
- Profile and optimize AI model training and inference workloads.
- Improve model throughput, latency, memory efficiency, scalability, and reliability.
- Identify bottlenecks across models, frameworks, compilers, runtimes, operating systems, and hardware.
- Optimize workloads involving large language models, diffusion models, recommendation systems, and other modern machine learning architectures.
- Develop performance tooling, benchmarks, automation, and observability systems.
- Investigate and resolve complex production issues affecting AI workloads.
- Collaborate with customers to understand their technical requirements, reproduce issues, and recommend effective solutions.
- Translate customer feedback into product and infrastructure improvements.
- Work closely with machine learning engineers, systems engineers, hardware teams, and product teams.
- Document performance findings, technical recommendations, and best practices.
KEY RESPONSIBILITIES:
- Strong software engineering skills and experience building production-quality systems.
- Experience working with AI infrastructure for model training, inference, or both.
- Demonstrated experience profiling and optimizing machine learning models or AI workloads.
- Strong foundations in computer architecture, including processors, memory hierarchies, parallelism, and performance tradeoffs.
- Solid understanding of systems performance concepts such as latency, throughput, memory bandwidth, utilization, and distributed communication.
- Proficiency in languages such as Python, C++, or similar systems-oriented programming languages.
- Experience with machine learning frameworks such as PyTorch, TensorFlow, or JAX.
- Strong debugging and analytical skills, with the ability to investigate problems across multiple layers of the technology stack.
- Clear written and verbal communication skills.
- A customer-focused mindset and willingness to work directly with customers through technical evaluations, deployments, troubleshooting, and ongoing support.
PREFERRED EXPERIENCE:
- Experience optimizing large language models, diffusion models, or recommendation models.
- Experience with GPU, accelerator, or distributed computing environments.
- Familiarity with technologies such as ROCm, HIP, CUDA, Triton, XLA, MLIR, NCCL, or similar performance-oriented tools and runtimes.
- Experience with distributed training, model serving, quantization, compilation, kernel optimization, or memory optimization.
- Experience operating AI systems in production environments.
- Prior experience in solutions engineering, field engineering, developer relations, or another customer-facing technical role.
- Experience designing benchmarks and conducting systematic performance analysis.
ACADEMIC CREDENTIALS:
- A PhD (or a master’s degree with equivalent experience) in artificial intelligence, machine learning, computer science, or a related field.
LOCATION:
San Jose, CA or Bellevue, WA preferred (Hybrid). Other US locations may be considered.
#LI-MV1
#HYBRID
Qualifications:
Benefits offered are described: AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
This posting is for an existing vacancy.
See All 165+ Performance Engineer Jobs in San Jose
Find roles in San Jose that match your experience and apply in just a few clicks.
Find Performance Engineer JobsPerformance Engineer Job Market in San Jose
Who's Hiring
- TikTok63
- AMD24
- Samsung Semiconductor Inc (US)24
- Samsung Electronics16
- Etched8
Top Industries Hiring
- Technology & Software
- Electronics & Hardware
Performance Engineer Jobs in San Jose: Frequently Asked Questions
How do I get a performance engineer job in San Jose?
Focus your search on North San Jose and the Great America Parkway corridor, where semiconductor firms, cloud platform companies, and enterprise software vendors cluster. Roles in load testing, capacity planning, and systems optimization see the most consistent demand locally. Candidates who can demonstrate proficiency with tools like JMeter, Gatling, or observability platforms tend to move faster through hiring pipelines in San Jose's competitive tech market.
Which companies hire performance engineers in San Jose?
San Jose performance engineer roles are posted by TikTok, AMD, and Samsung Semiconductor Inc (US) and others right now, based on current listings on Migrate Mate as of October 2026. The local market is anchored by large-scale semiconductor manufacturers, networking hardware companies, and SaaS platforms that require continuous performance validation at scale.
Are there remote performance engineer jobs in San Jose?
Yes, though availability depends heavily on the role's scope, analytical and monitoring-focused positions tend to be more remote-friendly than hands-on lab or hardware-adjacent work. About 13% of performance engineer openings tied to San Jose are remote or hybrid as of October 2026, reflecting the city's software-heavy employer base. Cloud performance and APM roles are the most likely to offer flexible arrangements.
How can I get a performance engineer job in San Jose with little or no experience?
The most realistic entry path in San Jose is through a QA engineer or site reliability associate role at a mid-size SaaS or semiconductor company, then moving laterally into performance work. Many San Jose employers run internship pipelines through San Jose State University and Santa Clara University. Building a portfolio with open-source load testing projects and contributing to observability tooling gives candidates a concrete edge with local hiring managers.
Which industries hire the most performance engineers in San Jose?
The sectors hiring the most performance engineers in San Jose are Technology & Software and Electronics & Hardware, based on current listings on Migrate Mate as of October 2026. San Jose's role as a global center for chip design, networking infrastructure, and enterprise cloud services drives sustained demand across all three areas.
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See All 165+ Performance Engineer Jobs in San Jose
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