Analyze, debug, and resolve critical firmware and software issues to achieve the highest AI workload performance at scale. What we need to see: * Proven understanding of accelerated computing ...
Analyze, debug, and resolve critical firmware and software issues to achieve the highest AI workload performance at scale. What we need to see: * Proven understanding of accelerated computing ...
Senior Systems Software Engineer - GPU Performance at Scale
Santa Clara, CA · On-site
$142K - $188K/yr
Analyze, debug, and resolve critical firmware and software issues to achieve the highest AI workload performance at scale. What we need to see: * Proven understanding of accelerated computing ...
Senior Systems Software Engineer - GPU Performance at Scale
Santa Clara, CA · On-site
$142K - $188K/yr
Analyze, debug, and resolve critical firmware and software issues to achieve the highest AI workload performance at scale. What we need to see: * Proven understanding of accelerated computing ...
Analyze, debug, and resolve critical firmware and software issues to achieve the highest AI workload performance at scale. What we need to see: Proven understanding of accelerated computing software ...
Analyze, debug, and resolve critical firmware and software issues to achieve the highest AI workload performance at scale. What we need to see: Proven understanding of accelerated computing software ...
Analyze, debug, and resolve critical firmware and software issues to achieve the highest AI workload performance at scale. What we need to see: Proven understanding of accelerated computing software ...
Analyze, debug, and resolve critical firmware and software issues to achieve the highest AI workload performance at scale. What we need to see: Proven understanding of accelerated computing software ...
Analyze, debug, and resolve critical firmware and software issues to achieve the highest AI workload performance at scale. What we need to see: Proven understanding of accelerated computing software ...
Analyze, debug, and resolve critical firmware and software issues to achieve the highest AI workload performance at scale. What we need to see: Proven understanding of accelerated computing software ...
Analyze, debug, and resolve critical firmware and software issues to achieve the highest AI workload performance at scale. What we need to see: * Proven understanding of accelerated computing ...
Analyze, debug, and resolve critical firmware and software issues to achieve the highest AI workload performance at scale. What we need to see: * Proven understanding of accelerated computing ...
Analyze, debug, and resolve critical firmware and software issues to achieve the highest AI workload performance at scale. What we need to see: * Proven understanding of accelerated computing ...
Analyze, debug, and resolve critical firmware and software issues to achieve the highest AI workload performance at scale. What we need to see: * Proven understanding of accelerated computing ...
Senior AI Engineer
San Francisco, CA · On-site
$123K - $169K/yr
With a focus on Sovereign AI-secure, compliant, and infrastructure-flexible deployments-H2O.ai delivers solutions that align with the highest standards of data privacy and control. Our open-source ...
Senior AI Engineer
San Francisco, CA · On-site
$123K - $169K/yr
With a focus on Sovereign AI-secure, compliant, and infrastructure-flexible deployments-H2O.ai delivers solutions that align with the highest standards of data privacy and control. Our open-source ...
Senior AI Engineer
San Francisco, CA · On-site
$123K - $169K/yr
With a focus on Sovereign AI--secure, compliant, and infrastructure-flexible deployments--H2O.ai delivers solutions that align with the highest standards of data privacy and control. Our open-source ...
Quick apply
Senior AI Engineer
San Francisco, CA · On-site
$123K - $169K/yr
With a focus on Sovereign AI--secure, compliant, and infrastructure-flexible deployments--H2O.ai delivers solutions that align with the highest standards of data privacy and control. Our open-source ...
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Senior AI Engineer
Dallas, TX · On-site
$103K - $142K/yr
With a focus on Sovereign AI-secure, compliant, and infrastructure-flexible deployments-H2O.ai delivers solutions that align with the highest standards of data privacy and control. Our open-source ...
Principal AI Engineer
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With a focus on Sovereign AI--secure, compliant, and infrastructure-flexible deployments--H2O.ai delivers solutions that align with the highest standards of data privacy and control. Our open-source ...
Quick apply
Principal AI Engineer
Dallas, TX · On-site
With a focus on Sovereign AI--secure, compliant, and infrastructure-flexible deployments--H2O.ai delivers solutions that align with the highest standards of data privacy and control. Our open-source ...
Senior AI Engineer
Dallas, TX · On-site
$103K - $142K/yr
With a focus on Sovereign AI--secure, compliant, and infrastructure-flexible deployments--H2O.ai delivers solutions that align with the highest standards of data privacy and control. Our open-source ...
Quick apply
Senior AI Engineer
Dallas, TX · On-site
$103K - $142K/yr
With a focus on Sovereign AI--secure, compliant, and infrastructure-flexible deployments--H2O.ai delivers solutions that align with the highest standards of data privacy and control. Our open-source ...
Principal AI Engineer
Dallas, TX · On-site
With a focus on Sovereign AI-secure, compliant, and infrastructure-flexible deployments-H2O.ai delivers solutions that align with the highest standards of data privacy and control. Our open-source ...
Principal AI Engineer
Dallas, TX · On-site
With a focus on Sovereign AI-secure, compliant, and infrastructure-flexible deployments-H2O.ai delivers solutions that align with the highest standards of data privacy and control. Our open-source ...
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San Francisco, CA · On-site
$150K - $200K/yr
... highest-leverage automation opportunities and prioritize ruthlessly. • Set up the evaluation, monitoring, and iteration loops that keep AI agents reliable in production. • Help define how ...
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San Francisco, CA · On-site
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ABOUT RETELL AI Retell AI is using first-principles thinking to reimagine the call center with ... highest-priority opportunities and challenges. Team members are expected to operate across ...
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Manhattan, NY · On-site
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Highest Ai information
See salary details
$19.95 - $22.20
4% of jobs
$22.20 - $24.45
16% of jobs
$24.99 is the 25th percentile. Wages below this are outliers.
$24.45 - $26.70
21% of jobs
The median wage is $27.77 / hr.
$26.70 - $28.96
19% of jobs
$28.96 - $31.21
15% of jobs
$31.27 is the 75th percentile. Wages above this are outliers.
$31.21 - $33.46
9% of jobs
$33.46 - $35.71
5% of jobs
$35.71 - $37.96
4% of jobs
$37.96 - $40.21
3% of jobs
$40.21 - $42.46
2% of jobs
$42.46 - $44.71
1% of jobs
$19
$30
$44
How much do highest ai jobs pay per hour?
As of Sep 11, 2026, the average hourly pay for highest ai in the United States is $30.38, according to ZipRecruiter salary data. Most workers in this role earn between $25.00 and $32.21 per hour, depending on experience, location, and employer.
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Senior Systems Software Engineer - GPU Performance at Scale
Santa Clara, CA • On-site
Nvidia Corporation
• Computer and Electronic Product Manufacturing • 10K+ employees10,000+ employees
Full-time
Re-posted 24 days ago
Nvidia rating
9.6
Based on 18 frontline employees who took The Breakroom Quiz
Job description
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We are looking for a dedicated engineer for the Senior Systems Software Engineer role, focusing on GPU Performance at Scale. At NVIDIA, this role is uniquely positioned to drive innovation in AI and GPU computing. You will contribute to world-class computing hardware and software, fueling groundbreaking advancements in artificial intelligence. You will provide insights on large-scale system composition and tuning mechanisms for high-performance compute runs. Collaborate with researchers, developers, and customers to craft improved workflows and develop new, leading solutions. Engage with HPC, OS, CPU, GPU compute, and systems specialists to architect, build, and optimize large-scale performance platforms.
What you'll be doing:
What we need to see:
Ways to Stand Out From the Crowd
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 13, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
We are looking for a dedicated engineer for the Senior Systems Software Engineer role, focusing on GPU Performance at Scale. At NVIDIA, this role is uniquely positioned to drive innovation in AI and GPU computing. You will contribute to world-class computing hardware and software, fueling groundbreaking advancements in artificial intelligence. You will provide insights on large-scale system composition and tuning mechanisms for high-performance compute runs. Collaborate with researchers, developers, and customers to craft improved workflows and develop new, leading solutions. Engage with HPC, OS, CPU, GPU compute, and systems specialists to architect, build, and optimize large-scale performance platforms.
What you'll be doing:
- Lead the implementation of performance practices in large-scale GPU infrastructure, delivering powerful tools, methodologies, and flows to validate and improve multiple datacenter products concurrently.
- Align next-generation AI workloads with next-generation datacenter builds for NVIDIA GPUs, CPUs, and networking hardware. Engage early with HW/FW/SW/platform internal and customer teams.
- Develop engineering solutions that provide continuous insights into the performance of AI workloads in evolving environments, generating swift insights into improvements and regressions.
- Decompose high-complexity performance or stability issues into minimal reproduction cases, working towards identifying the root cause.
- Participate in collaborations with various SW and FW teams (BMC/SBIOS/OS/drivers, etc.) to develop outstanding methods and tools. Analyze, debug, and resolve critical firmware and software issues to achieve the highest AI workload performance at scale.
What we need to see:
- Proven understanding of accelerated computing software stacks (CUDA).
- Experience with modern cloud and container-based enterprise computing architectures, with Slurm preferred.
- Strong programming and scripting experience in C/C++/Python/Bash.
- Deep expertise in systems architecture and the impact of various components on performance.
- Experience with container technology and Linux-based OSes, with Docker preferred.
- Experience supporting high-performance computing or deep learning in engineering or academic research communities.
- Strong teamwork and communication skills, coupled with results-focused analytical abilities.
- BS in Engineering, Mathematics, Physics, or Computer Science (or equivalent experience); MS or PhD desirable with 8+ years of applicable experience.
Ways to Stand Out From the Crowd
- End-to-end GPU performance engineering from the profiler to systems analysis.
- Linux systems programming and optimization experience.
- Exposure to virtualization techniques and cloud platform solutions.
- Experience with scheduling and resource management systems.
- Experience with large-scale HPC environments.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 13, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
About Nvidia
Sourced by ZipRecruiter
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.
Industry
Computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Santa Clara, CA, US