Analyze, debug, and resolve critical firmware and software issues to achieve the highest AI workload performance at scale. Qualifications : Required : • Proven understanding of accelerated ...
Analyze, debug, and resolve critical firmware and software issues to achieve the highest AI workload performance at scale. Qualifications : Required : • Proven understanding of accelerated ...
Senior Systems Software Engineer - GPU Performance at Scale
Santa Clara, CA · On-site
$184 - $356.50/hr
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 ...
Senior Systems Software Engineer - GPU Performance at Scale
Santa Clara, CA · On-site
$184 - $356.50/hr
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 ...
Senior Systems Software Engineer - GPU Performance at Scale
Santa Clara, CA · On-site
$184 - $287.50/hr
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
$184 - $287.50/hr
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 ...
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 ...
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San Francisco, CA · On-site
Responsibilities : • Own the outcome on each account: make sure every location is getting the highest value from the AI products it runs today, quantify it in hard numbers (ROI, EBITDA impact ...
AI Strategy Lead
San Francisco, CA · On-site
Responsibilities : • Own the outcome on each account: make sure every location is getting the highest value from the AI products it runs today, quantify it in hard numbers (ROI, EBITDA impact ...
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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 ...
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 ...
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
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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 ...
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 ...
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 ...
AI Operations Lead
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 ...
AI Operations Lead
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
$160K - $320K/yr
About the Role As an Agent Research Engineer, you will help advance the highest levels of the tech stack to imbue AI systems with true agency. Collaborating directly with our technical founder and ...
AI Agent Researcher
San Francisco, CA · On-site
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About the Position As a Senior AI Engineer, you'll spearhead the development of LLM-powered ... Evaluate and enhance the performance of existing models to uphold the highest standards of accuracy ...
Senior AI Engineer
$107K - $146K/yr
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AI Strategy Lead
San Francisco, CA · On-site
$180K - $230K/yr
Own the outcome on each account: make sure every location is getting the highest value from the AI products it runs today, quantify it in hard numbers (ROI, EBITDA impact, revenue, conversion, labor ...
AI Strategy Lead
San Francisco, CA · On-site
$180K - $230K/yr
Own the outcome on each account: make sure every location is getting the highest value from the AI products it runs today, quantify it in hard numbers (ROI, EBITDA impact, revenue, conversion, labor ...
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 ...
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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San Francisco, CA · On-site
$200K - $300K/yr
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 ...
Founders Initiatives, AI Agents
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
$120 - $190/hr
You will ensure our AI products meet the highest standards of legal reasoning, factual accuracy, and regulatory compliance while maintaining a near-zero hallucination rate. Key Responsibilities
Head of Evaluations (Legal AI Benchmarking)
Manhattan, NY · On-site
$120 - $190/hr
You will ensure our AI products meet the highest standards of legal reasoning, factual accuracy, and regulatory compliance while maintaining a near-zero hallucination rate. Key Responsibilities
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 Aug 22, 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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Full-time
Re-posted 16 days ago
Job description
Job Summary:
NVIDIA AI has been transforming computer graphics and accelerated computing for over 25 years. They are seeking a Senior Systems Software Engineer to drive innovation in AI and GPU computing, focusing on performance practices in large-scale GPU infrastructure.
Responsibilities:
• 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.
Qualifications:
Required:
• 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.
Preferred:
• 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.
Company:
Explore the latest breakthroughs made possible with AI. Founded in , the company is headquartered in Santa Clara, CA, US, , with a team of 10001+ employees. The company is currently Late Stage.
NVIDIA AI has been transforming computer graphics and accelerated computing for over 25 years. They are seeking a Senior Systems Software Engineer to drive innovation in AI and GPU computing, focusing on performance practices in large-scale GPU infrastructure.
Responsibilities:
• 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.
Qualifications:
Required:
• 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.
Preferred:
• 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.
Company:
Explore the latest breakthroughs made possible with AI. Founded in , the company is headquartered in Santa Clara, CA, US, , with a team of 10001+ employees. The company is currently Late Stage.