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Highest Ai Jobs (NOW HIRING)

OR · On-site

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 ...

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 • ...

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 ...

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 ...

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 ...

Conduct quality reviews of AI agents to ensure they meet the highest standards for compliance teams at banks and fintechs * Test new features and custom logic before they go live for customers

Senior AI Engineer

Charlotte, NC · On-site

$102K - $140K/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 ...

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 ...

Senior AI Engineer

Charlotte, NC · On-site

$102K - $140K/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 ...

AI Strategy Manager

San Francisco, CA · On-site

$130K - $180K/yr

... their highest-priority needs back to Broccoli, and identifying new AI workflows that drive ... meaningful operational value). * Build the AI transformation function (design the playbooks ...

Lead Forward Deployed Engineer, AI

Dallas, TX · On-site

$101K - $133K/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 ...

Lead Forward Deployed Engineer, AI

Dallas, TX · On-site

$101K - $133K/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 ...

... highest standards of credibility. * Data Synthesis & Insights - Responsible for delivering clean, structured datasets and distilling them into the "top 3" most actionable insights that drive ...

... highest standards of credibility. * Data Synthesis & Insights - Responsible for delivering clean, structured datasets and distilling them into the "top 3" most actionable insights that drive ...

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Highest Ai information

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How much do highest ai jobs pay per hour?

As of Jun 16, 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 jobs pay 200,000 a year in the USA?

High-paying jobs that can reach or exceed $200,000 annually include roles such as AI engineers, data scientists, software architects, and senior executive positions like CTOs and CFOs. These roles typically require advanced skills, extensive experience, and often involve leadership responsibilities or specialized technical expertise. Compensation varies based on industry, location, and company size.

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 surgeons, successful entrepreneurs, and certain investment bankers can reach or surpass this income level, often requiring extensive experience, advanced skills, and significant responsibility.

What is the highest paid AI career?

The highest paid AI careers typically include roles such as AI research scientists, machine learning engineers, and AI directors, with senior positions earning six-figure salaries or more. These roles often require advanced degrees, expertise in deep learning, natural language processing, and experience with tools like TensorFlow or PyTorch.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as AI executives, senior machine learning engineers, or data science directors, often requiring advanced skills, extensive experience, and sometimes equity or bonuses. These positions are usually found in large tech companies or innovative startups and may involve leadership, strategic planning, and expertise in AI tools and frameworks.
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 June 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% 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

Senior Systems Software Engineer - GPU Performance at Scale

NVIDIA

Santa Clara, CA • On-site

Full-time

Posted 9 days ago


Job description

Job Summary:
NVIDIA has been transforming computer graphics and accelerated computing for over 25 years. They are seeking a Senior Systems Software Engineer to focus on GPU Performance at Scale, contributing to advancements in AI and GPU computing by driving innovation and collaborating with various teams to optimize large-scale performance platforms.
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:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

Nvidia logo

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

Year founded

1993