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Highest Ai Jobs (NOW HIRING)

AI Infrastructure Engineer

San Francisco, CA · On-site

$126K - $166K/yr

... highest quality service for our customers • Design and implement operational processes (such as deployments and upgrades) • Debug production issues across all services and levels of the stack • ...

As an AI Infrastructure Engineer at Together, you are responsible for keeping all user-facing ... Build monitoring systems to ensure the highest quality service for our customers * Design and ...

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 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 ...

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 ...

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 ...

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 ...

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 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 Agent Researcher

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 ...

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 ...

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 ...

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Highest Ai information

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How much do highest ai jobs pay per hour?

As of Aug 1, 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.

What profession pays $400,000 a year?

High-level AI roles such as AI research directors, machine learning executives, and senior data scientists can earn $400,000 or more annually, especially in large tech companies or specialized industries. These positions typically require advanced degrees, extensive experience, and expertise in AI tools and programming languages like Python or TensorFlow.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level positions in artificial intelligence, such as AI research directors, chief AI officers, or senior machine learning engineers, often requiring advanced skills, extensive experience, and sometimes equity or bonuses. These roles are usually found in large tech companies or innovative startups and may involve leadership, strategic planning, and cutting-edge development in AI technologies.

What jobs pay 500,000 a year in the US?

High-level executive roles such as CEOs, CFOs, and other C-suite positions often have annual compensation exceeding $500,000, especially in large corporations. Additionally, specialized roles like top-tier investment bankers, successful entrepreneurs, and certain medical specialists can reach or surpass this income level, often requiring extensive experience, advanced skills, and significant responsibility.

What professions make 200,000 a year without a degree?

High-paying professions that can reach $200,000 annually without a degree include roles such as commercial pilot, real estate broker, sales manager, and certain tech roles like software developer or cybersecurity analyst with specialized skills. Success in these fields often depends on experience, certifications, or licensing rather than formal education.
More about Highest Ai jobs
What cities are hiring for Highest Ai jobs? Cities with the most Highest Ai job openings:
What states have the most Highest Ai jobs? States with the most job openings for Highest Ai jobs include:
Infographic showing various Highest Ai job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $63,186 per year, or $30.4 per hour.

Senior Systems Software Engineer - GPU Performance at Scale

NVIDIA AI

Santa Clara, CA • On-site

Full-time

Re-posted 25 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.