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Remote Performance Engineer Jobs in Hayward, CA (NOW HIRING)

CUDA Kernel Engineer (Remote US)

San Francisco, CA · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

Remote US Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on ... You will work on the GPU performance layer powering large-scale, high-throughput AI systems used by ...

Position: AWS Cloud Engineer - Python (Contract) Location: Remote (U.S.) Duration: 12-Month ... Support high-performance data processing pipelines and cloud-based applications. * Follow software ...

Good communication skills and work ethic for a remote workplace. * An interest in low-level optimization and performance engineering. * An interest in financial data or algorithmic trading. Notice ...

SOFTWARE ENGINEER Remote (Pacific Hours) axiomcloud.ai 510-683-5200 Axiom Cloud is transforming how ... Performance Optimization Proven ability to tune queries, indexes, and pipelines against billion-row ...

About the Role We are seeking a highly skilled Remote Software Engineer to join our team and contribute to developing innovative, scalable, and high-performance software solutions. This role is ideal ...

Senior AI Algorithm Engineer in oneDNN

Santa Clara, CA · On-site +1

$195K - $275K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Perform performance analysis and optimization to achieve bestinclass deeplearning inference and ... Enjoy a safe, flexible, and supportive work environment-remote or onsite-focused on employee ...

Senior AWS Data Engineer

Mountain View, CA · On-site +1

$125K - $169K/yr

Write and tune high-performance SQL for complex transformations and reporting. * Design and ... Remote If you meet these qualifications and are pursuing new challenges, start your application on ...

Showing results 21-40

Remote Performance Engineer information

See Hayward, CA salary details

$12

$68

$112

How much do remote performance engineer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for remote performance engineer in Hayward, CA is $68.91, according to ZipRecruiter salary data. Most workers in this role earn between $56.49 and $77.98 per hour, depending on experience, location, and employer.

What is a remote performance engineer?

Remote Performance Engineers are specialized IT professionals who work from remote locations to monitor, analyze, and optimize the performance of software applications, systems, or networks. Their main goal is to ensure that digital products run efficiently and can handle user demand without slowdowns or outages. They utilize various tools and methodologies to identify bottlenecks, conduct testing, and recommend or implement solutions to improve overall system performance. These engineers often collaborate with development, operations, and QA teams to maintain high standards of reliability and speed for end users.

How does a remote performance engineer typically collaborate with cross-functional teams to address system bottlenecks?

Remote Performance Engineers frequently work alongside developers, QA analysts, and operations teams to identify and resolve system performance issues. Collaboration is often facilitated through virtual meetings, shared dashboards, and ticketing systems, allowing for real-time discussion of bottlenecks and potential solutions. Engineers may be responsible for presenting their findings, recommending optimizations, and guiding implementation while ensuring all stakeholders are aligned on priorities. Effective communication skills and proactive documentation are essential to succeed in this remote, collaborative environment.

What are the key skills and qualifications needed to thrive as a remote performance engineer, and why are they important?

To excel as a Remote Performance Engineer, you need a strong background in software engineering, performance testing, and systems analysis, often supported by a degree in computer science or a related field. Familiarity with tools such as JMeter, LoadRunner, New Relic, and cloud platforms like AWS or Azure, as well as relevant certifications, is highly valuable. Exceptional problem-solving skills, attention to detail, and effective remote communication are critical soft skills for this role. These abilities ensure optimal system performance, efficient troubleshooting, and successful collaboration across distributed teams.

What is the difference between Remote Performance Engineer vs Remote QA Engineer?

AspectRemote Performance EngineerRemote QA Engineer
Required CredentialsBachelor's in Computer Science, experience with performance testing toolsBachelor's in Computer Science, experience with testing frameworks
Work EnvironmentDevelops and analyzes system performance, works closely with development teamsTests software quality, executes test plans, reports bugs
Employer & Industry UsageTech companies, software firms, e-commerce platformsSoftware companies, app developers, tech firms
Search & Comparison IntentPerformance optimization, system testing rolesSoftware testing, quality assurance roles

Remote Performance Engineers focus on optimizing system performance and analyzing bottlenecks, while Remote QA Engineers concentrate on testing software quality and identifying bugs. Both roles require technical skills and often work in similar tech environments, but their core responsibilities differ in focus and objectives.

What are popular job titles related to Remote Performance Engineer jobs in Hayward, CA?

For Remote Performance Engineer jobs in Hayward, CA, the most frequently searched job titles are:

What job categories do people searching Remote Performance Engineer jobs in Hayward, CA look for?

The top searched job categories for Remote Performance Engineer jobs in Hayward, CA are:

What cities near Hayward, CA are hiring for Remote Performance Engineer jobs?

Cities near Hayward, CA with the most Remote Performance Engineer job openings:

Infographic showing various Remote Performance Engineer job openings in Hayward, CA as of August 2026, with employment types broken down into 84% Full Time, 4% Part Time, and 12% Contract. Highlights an 100% Remote job distribution, with an average salary of $143,333 per year, or $68.9 per hour.

CUDA Kernel Engineer (Remote US)

Pragmatike

San Francisco, CA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement

Re-posted 15 days ago


Job description

Location: Remote US
Start date: ASAP
Languages: English (required)
About the Role
Pragmatike is hiring on behalf of a fast-growing AI startup recognized as a Top 10 GenAI company by GTM Capital, founded by MIT CSAIL researchers.
We are searching for a CUDA Kernel Engineer who has hands-on experience developing and optimizing NVIDIA CUDA kernels from scratch. You will work on the GPU performance layer powering large-scale, high-throughput AI systems used by Fortune 500 customers.
This role is ideal for someone who deeply understands NVIDIA GPU architecture, memory hierarchy, warp-level execution, and profiling workflowsnot someone coming from generic hardware, FPGA, or non-NVIDIA compute backgrounds. You will directly influence the GPU efficiency, throughput, and scalability of mission-critical AI systems.
What Youll Do
  • Design, implement, and optimize custom CUDA kernels for NVIDIA GPUs, with a focus on maximizing occupancy, memory throughput, and warp efficiency.
  • Profile GPU workloads using tools such as Nsight Compute, Nsight Systems, nvprof, and CUDA-MEMCHECK.
  • Analyze and eliminate performance bottlenecks including warp divergence, uncoalesced memory access, register pressure, and PCIe transfer overhead.
  • Improve GPU memory pipelines (global, shared, L2, texture memory) and ensure proper memory coalescing.
  • Collaborate closely with AI systems, model acceleration, and backend distributed systems teams.
  • Contribute to GPU architecture decisions, kernel libraries, and internal performance-engineering best practices.

What Were Looking For
  • Proven track record building NVIDIA CUDA kernels from scratchnot just calling existing libraries.
  • Strong ability to optimize kernels (tiling strategies, occupancy tuning, shared memory design, warp scheduling).
  • Deep understanding of CUDA threads, warps, blocks, and grids, GPU memory hierarchy and memory coalescing, as well as warp divergence (how to detect, analyze, and mitigate it)
  • Experience diagnosing PCIe bottlenecks and optimizing host-device transfers (pinned memory, streams, batching, overlap).
  • Familiarity with C++, CUDA runtime APIs, and GPU debugging/profiling tooling.

Bonus Points
  • Experience with multi-GPU or distributed GPU systems (NCCL, NVLink, MIG).
  • Background in GPU acceleration for ML frameworks or HPC workloads.
  • Knowledge of model inference optimization (TensorRT, CUDA Graphs, CUTLASS).
  • Exposure to compiler-level optimization or PTX/SASS analysis.
  • Startup experience or comfort working in fast-moving, ambiguous environments.

Why This Role Will Pivot Your Career
  • Research pedigree: MIT CSAIL founders recognized for breakthrough AI and systems contributions.
  • Customer impact: Deploy AI solutions powering Fortune 500 clients.
  • Industry momentum: Lab alumni have led high-value acquisitions (MosaicML Databricks, Run:AI Nvidia, W&B CoreWeave).
  • Funding & growth: Oversubscribed seed round, next funding in 2026.
  • Career growth & influence: Lead AI initiatives, optimize pipelines, and directly impact production AI systems at scale.
  • Culture & autonomy: Own critical systems while collaborating with world-class engineers.
  • Aspirational impact: Solve GPU/AI performance challenges few engineers ever face.

Benefits
  • Competitive salary & equity options
  • Sign-on bonus
  • Health, Dental, and Vision
  • 401k

Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.