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Remote Solar Performance Engineer Jobs in San Bruno, CA

Pragmatike

CUDA Kernel Engineer (Remote US)

San Francisco, CA · On-site +1

$164K/yr

We are searching for a CUDA Kernel Engineer who has hands-on experience developing and optimizing ... You will work on the GPU performance layer powering large-scale, high-throughput AI systems used by ...

Snarkify

Senior Software Engineer - CUDA

Palo Alto, CA · On-site +1

$144K - $189K/yr

Snarkify is seeking an experienced and highly skilled Senior GPU Performance Engineer to join our ... A flexible and innovative remote work environment. * Room for continuous growth and development in ...

Snarkify

Senior Software Engineer - CUDA

Palo Alto, CA · On-site +1

$144K - $189K/yr

Snarkify is seeking an experienced and highly skilled Senior GPU Performance Engineer to join our ... A flexible and innovative remote work environment. * Room for continuous growth and development in ...

Terabase Energy

SCADA Engineer

Berkeley, CA · On-site +1

$90K - $115K/yr

... solar, solar and storage and other hybrid plants. The system must bring together multiple sub ... Program, install, troubleshoot, test, and commission Remote Terminal Units (RTU's), Programmable ...

Terabase Energy

SCADA Engineer

Berkeley, CA · On-site +1

$90K - $115K/yr

... solar, solar and storage and other hybrid plants. The system must bring together multiple sub ... Program, install, troubleshoot, test, and commission Remote Terminal Units (RTU's), Programmable ...

Terabase Energy

SCADA Engineer

Berkeley, CA · Remote

$90K - $115K/yr

... solar, solar and storage and other hybrid plants. The system must bring together multiple sub ... Program, install, troubleshoot, test, and commission Remote Terminal Units (RTU's), Programmable ...

Planted Solar

Field Robotics Technician

Oakland, CA · On-site +1

$35 - $45/hr

... Remote Ok Full-time - 80% Travel Energy is the binding constraint on human progress. Solar and ... We're expanding our team of ambitious, curious, and hands-on engineers and operators who want to ...

Terabase Energy

Power Systems Engineer

Berkeley, CA · Remote

This position is remote. Key Responsibilities * Lead the power system modeling and simulation ... Power quality studies for utilities and wind/solar/storage plants, including voltage/current ...

SolarEdge

Field Applications Engineer

San Francisco, CA · On-site +1

Our innovative solutions include solar inverters, battery storage, backup systems, EV charging, and ... West Coast, Southwest or Mountain , Remote Duties and Responsibilities: * Technical team contact in ...

Terabase Energy

Power Systems Engineer

Berkeley, CA · On-site +1

This position is remote. Key Responsibilities * Lead the power system modeling and simulation ... Power quality studies for utilities and wind/solar/storage plants, including voltage/current ...

Lumen Energy

Product Engineer

San Francisco, CA · On-site +1

$187K - $207K/yr

About Lumen Energy Lumen Energy is the modern solar broker for the nation's largest commercial real ... This is a full-time, remote (US) role, with an SF office if you'd like one. What You'll Do * Drive ...

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All JobsSolar Performance Engineer JobsRemote Solar Performance Engineer JobsRemote Solar Performance Engineer Jobs in San Bruno, CA

Remote Solar Performance Engineer information

See San Bruno, CA salary details

$13

$71

$117

How much do remote solar performance engineer jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for remote solar performance engineer in San Bruno, CA is $71.81, according to ZipRecruiter salary data. Most workers in this role earn between $58.89 and $81.25 per hour, depending on experience, location, and employer.

What is a remote solar performance engineer?

A Remote Solar Performance Engineer is a professional who monitors, analyzes, and optimizes the performance of solar power systems from a remote location. They use specialized software and tools to track energy production, identify issues, and recommend improvements for solar installations. Their work helps ensure that solar energy systems operate efficiently and meet performance goals, often collaborating with on-site technicians and project managers. This role is crucial for maintaining the reliability and profitability of solar power assets, especially in geographically dispersed installations.

What are the key skills and qualifications needed to thrive as a remote solar performance engineer?

To thrive as a Remote Solar Performance Engineer, you need a solid grounding in electrical or mechanical engineering, solar PV systems, and data analysis, typically backed by a relevant engineering degree. Proficiency with solar monitoring software, SCADA systems, and data analytics platforms, as well as certifications like NABCEP, is often required. Strong problem-solving skills, attention to detail, and effective remote communication set top performers apart in this role. These competencies ensure accurate performance analysis, timely issue resolution, and optimized energy output for solar installations.

How does a remote solar performance engineer typically collaborate with on-site teams to resolve system issues?

Remote Solar Performance Engineers play a critical role in diagnosing and troubleshooting performance issues by analyzing data from monitoring systems. They often collaborate closely with on-site technicians and field engineers via virtual meetings, detailed reports, and real-time communication tools. When a performance anomaly is detected, the remote engineer pinpoints the issue and provides actionable recommendations, ensuring on-site teams can address problems efficiently. This collaborative structure helps maximize system uptime and maintain optimal energy output.

What is the difference between Remote Solar Performance Engineer vs Remote Solar Design Engineer?

AspectRemote Solar Performance EngineerRemote Solar Design Engineer
Primary FocusOptimizing solar system performance, analyzing data, troubleshooting issuesCreating system layouts, designing solar panel configurations, selecting components
Required SkillsData analysis, performance monitoring, electrical knowledgeDesign software proficiency, electrical and mechanical design skills
Work EnvironmentField data analysis, remote monitoring, collaboration with installation teamsOffice-based design work, remote collaboration with engineers and clients
CertificationsPV installation certifications, electrical certifications often preferredDesign certifications like NABCEP Designer, CAD proficiency

The Remote Solar Performance Engineer focuses on analyzing and improving the efficiency of existing solar systems through data analysis and troubleshooting. In contrast, the Remote Solar Design Engineer specializes in designing new solar systems, creating layouts, and selecting components. Both roles require technical knowledge and certifications, but their core responsibilities differ in system optimization versus system design.

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

The top searched job categories for Remote Solar Performance Engineer jobs in San Bruno, CA are:

What cities near San Bruno, CA are hiring for Remote Solar Performance Engineer jobs?

Cities near San Bruno, CA with the most Remote Solar Performance Engineer job openings:

Remote Solar Performance Engineer jobs near you
Infographic showing various Remote Solar Performance Engineer job openings in San Bruno, 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 $149,358 per year, or $71.8 per hour.

CUDA Kernel Engineer (Remote US)

Pragmatike

San Francisco, CA • On-site, Remote

$164K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 20 days ago

Job description

Location: SF on-site
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.

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