ZipRecruiter

Log In

1

Sr Performance Analyst Jobs in California (NOW HIRING)

Qualcomm

Senior Financial Performance Analyst

San Diego, CA · On-site

$92K - $132K/yr

Identifies areas of improvement and recommend solutions to optimize financial performance. Delivers data driven insights through calculation and analysis of various Total Addressable Market (TAM) and ...

Astera Labs

Performance Engineer

San Jose, CA · On-site

Senior Performance Engineer Location: San Jose, CA (On-site) Role Overview Astera Labs is a hyper ... Real Workload Analysis & Fabric Scalability * Run end-to-end inference model workloads on target ...

Astera Labs

Performance Engineer

San Jose, CA · On-site

Senior Performance Engineer Location: San Jose, CA (On-site) Role Overview Astera Labs is a hyper ... Real Workload Analysis & Fabric Scalability * Run end-to-end inference model workloads on target ...

OpenAI

Performance Modeling Engineer ~2

Los Angeles, CA · On-site

$266 - $445/hr

In this role, you will partner closely with Senior Performance Modeling Engineers and the Performance Modeling Lead to analyze system behavior, run simulations and analytical models, and help ...

Amazon

Sr Performance Validation Engineer

Sunnyvale, CA · On-site

As the Senior Pre-Silicon Performance Validation Engineer, you will be responsible for validating ... and analysis, working with design teams to implement optimization strategies before tape-out. • ...

Crusoe

Senior Performance Engineer

San Francisco, CA · On-site

$123K - $169K/yr

We are seeking a highly skilled, hands-on Senior level performance engineer who thrives on deep ... Design and execute rigorous benchmarks to analyze system behavior, identifying bottlenecks and ...

previous pagenext page

Showing results 21-40

All JobsSr Performance Analyst JobsSr Performance Analyst Jobs in California

Sr Performance Analyst information

What does a Sr Performance Analyst do?

A Sr Performance Analyst is responsible for evaluating and improving the efficiency and effectiveness of business operations. They analyze data to identify trends, measure performance against key metrics, and make recommendations for process improvements. Their work often involves collaborating with various departments to implement strategies that enhance productivity and profitability. Additionally, they may design performance dashboards and provide regular reports to senior management. This role requires strong analytical, problem-solving, and communication skills.

What is the difference between Sr Performance Analyst vs Performance Analyst?

AspectSr Performance AnalystPerformance Analyst
Required CredentialsBachelor's degree, experience in data analysis, possibly certifications like CPLP or Six SigmaBachelor's degree in related field, entry to mid-level experience in data analysis
Work EnvironmentCorporate offices, finance, marketing, or operations teamsSimilar environments, often within same departments or industries
Employer & Industry UsageUsed in finance, healthcare, marketing, and tech sectors for senior-level data rolesCommonly used across industries for entry to mid-level performance analysis roles

The main difference between a Sr Performance Analyst and a Performance Analyst lies in experience and responsibility level. The senior role typically requires more experience, advanced skills, and may involve mentoring or leading projects. Both roles are vital for analyzing performance data, but the Sr Performance Analyst often handles more complex analysis and strategic insights.

What are some common challenges faced by Sr Performance Analysts and how can they be addressed?

Sr Performance Analysts often encounter challenges such as managing large datasets, ensuring data accuracy, and effectively communicating insights to diverse stakeholders. To address these, it's important to use robust data validation techniques, stay updated on the latest analytical tools, and tailor presentations to the audience's technical understanding. Collaborating closely with cross-functional teams also helps ensure that analysis aligns with business objectives and that recommendations are actionable.

What are the key skills and qualifications needed to thrive as a Sr Performance Analyst?

To thrive as a Sr Performance Analyst, you need strong analytical skills, expertise in data interpretation, and a background in finance, business, or related fields, often supported by a bachelor's or master's degree. Proficiency with analytics and reporting tools such as Excel, SQL, Power BI, and Tableau is typically required, along with experience using ERP systems. Exceptional problem-solving, communication, and stakeholder management skills help you present insights clearly and drive actionable recommendations. These competencies are crucial to enabling data-driven decision-making and optimizing organizational performance.
What are popular job titles related to Sr Performance Analyst jobs in California? For Sr Performance Analyst jobs in California, the most frequently searched job titles are:
What job categories do people searching Sr Performance Analyst jobs in California look for? The top searched job categories for Sr Performance Analyst jobs in California are:
What cities in California are hiring for Sr Performance Analyst jobs? Cities in California with the most Sr Performance Analyst job openings:
Sr Performance Analyst jobs near you
Infographic showing various Sr Performance Analyst job openings in California as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 2% Temporary, and 2% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.

Senior Performance Engineer

Samsung Semiconductor Inc.

San Jose, CA • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago

Samsung Electronics rating

6.7

Company rating: 6.7 out of 10

Based on 50 frontline employees who took The Breakroom Quiz

125th of 156 rated electronics manufacturers

Job description

Please Note:

To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period.

Advancing the World's Technology Together

Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you'll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what's possible and powering the future.

We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We're dedicated to empowering people to be their true selves. Together, we're building a better tomorrow for our employees, customers, partners, and communities.

The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance. To achieve this goal, we collaborate closely with both hardware and software engineers to identify and address the unique challenges posed by AI/ML workloads and to explore new computing abstractions that can provide a better balance between the hardware and software components of our systems. Additionally, we continuously conduct research and development in emerging technologies and trends across memory, computing, interconnect, and AI/ML, ensuring that our platforms are always equipped to handle the most demanding workloads of the future. By working together as a dedicated and passionate team, we aim to revolutionize the way AI/ML applications are deployed and executed, ultimately contributing to the advancement of AGI in an affordable and sustainable manner. Join us in our passion to shape the future of computing!

This role is offered by the STG group within the AGI Lab as part of DSRA. We are a systems research and engineering team working at the intersection of large language models, accelerator hardware, and high-performance software. Our mission is to design, prototype, and optimize next-generation AI systems through tight hardware-software co-design. Our team works hands-on with cutting-edge accelerator hardware, advanced memory systems, and large-scale distributed AI infrastructure. We develop and optimize the software stack required to maximize performance, efficiency, and scalability for modern and emerging LLM workloads.

We are seeking a Senior LLM Systems Performance Engineer to build representative AI environments, characterize emerging workloads, and drive performance analysis for next-generation AI platforms. In this role, you will set up and operate realistic LLM serving and agentic AI environments, collect workload traces and performance data, and develop methodologies to characterize workload behavior. You will analyze system bottlenecks across compute, memory, communication, and scheduling resources, and evaluate how emerging workloads interact with AI accelerator architectures and system infrastructure. The ideal candidate combines hands-on experience building large-scale AI systems with strong performance engineering skills and a solid understanding of AI accelerator architecture. You should be comfortable working across the full stack-from application frameworks and serving systems to runtime software, networking, memory systems, and accelerator hardware.You will work closely with hardware architects, systems engineers, and software researchers to understand the performance implications of emerging workloads such as agentic AI, long-context reasoning, disaggregated inference, and Mixture-of-Experts models. Your analysis will help shape future hardware-software co-design decisions and guide the development of next-generation AI infrastructure.

Location: Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy.

What You'll Do

  • Build and operate representative AI environments, including agentic workflows, distributed inference systems, disaggregated serving architectures, and MoE deployments.
  • Collect workload traces, telemetry, and performance data from real-world AI applications; characterize workload behavior, develop representative benchmarks, and identify performance bottlenecks across compute, memory, communication, and scheduling resources.
  • Evaluate AI systems across the full hardware and software stack, and analyze the impact of runtime, memory hierarchy, interconnect, and accelerator architecture on application performance.
  • Collaborate with hardware and software teams to drive performance analysis, architecture exploration, and hardware-software co-design for next-generation AI platforms.

What You Bring

  • MS or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
  • B.S with 5+ years of experience in performance engineering, AI systems, distributed systems, high-performance computing, or a related area.MS in Computer/Electrical Engineering or Computer Science with 3+ years of relevant working experience or PhD and 0+ years of relevant working experience preferred.
  • Strong understanding of LLM inference and training systems.
  • Strong understanding of NVIDIA GPU architecture and performance characteristics, including compute, memory hierarchy, communication, and system-level bottlenecks.
  • Hands-on experience profiling and optimizing AI workloads on NVIDIA GPU platforms using tools such as Nsight Systems, Nsight Compute, and related performance analysis frameworks.
  • Experience analyzing performance of large-scale distributed AI workloads.
  • Proficiency in Python and C++.
  • Experience with one or more modern AI frameworks or serving systems, such as PyTorch, vLLM, SGLang, TensorRT-LLM, DeepSpeed, Ray, or Megatron-LM.
  • Strong analytical and problem-solving skills.

#LI-VL1

What We Offer
The pay range below is for all roles at this level across all US locations and functions. Paywithin this range varies by work locationand may also depend on job-related knowledge, skills,and experience. We also offer incentive opportunities that reward employees based on individual and company performance.
This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours.

Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community.
Enjoy Time Away You'll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge.
Care for Family Whatever family means to you, we want to support you along the way-including a stipend for fertility care or adoption, medical travel support, and virtual vet care for your fur babies.
Prioritize Emotional Wellness With on-demand apps and free confidential therapy sessions, you'll have support no matter where you are.
Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Cafe and gym, plus virtual classes, make it easier.
Embrace Flexibility Benefits are best when you have the space to use them. That's why we facilitate a flexible environment so you can find the right balance for you.

Base Pay Range
$138,000—$206,000 USD

Equal Opportunity Employment Policy

Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status.

When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations.

Our Commitment to Innovation and Fairness

At Samsung Semiconductor, we use Artificial Intelligence (AI) tools in the recruitment process to enhance efficiency. However, AI is used as a support tool, not a final decision-maker. All hiring decisions are made by our human recruiting team and hiring managers to ensure every candidate is evaluated fairly and holistically.

Recruiting Agency Policy

We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings.

Applicant AI Use Policy

At Samsung Semiconductor, we support innovation and technology. However, to ensure a fair and authentic assessment, we ask that candidates rely on their own knowledge and skills throughout the process. AI tools may be used for basic preparation, grammar, and research, but should not be used to generate or assist with submitted content or live interview responses. If we determine that AI is being used outside these guidelines, we reserve the right to pause or end the interview, and your candidacy may be disqualified.

Trade Secret Notice

By submitting an application, you agree not to disclose to Samsung-or encourage Samsung to use-any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity.

Applicant Privacy Policy
https://semiconductor.samsung.com/about-us/careers/us/privacy/

What Samsung Electronics employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply