Senior AI Performance Engineer, Efficiency

Job not on LinkedIn

November 4

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

🗽 New York – Remote

Although this job is listed in New York, this company may be open to hiring remote in other states.

+1 more states

🏄 California – Remote 🗽 New York – Remote ☕ Washington – Remote

💵 $184k - $356.5k / year

⏰ Full Time

🟠 Senior

🤖 Artificial Intelligence

🦅 H1B Visa Sponsor

Apply Now

Receive Emails with Similar Jobs

NVIDIA

WebsiteLinkedInAll Job Openings

Artificial Intelligence • Gaming • Automotive

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

📋 Description

• Collaborate closely with our AI/ML researchers to make their ML models more efficient leading to significant productivity improvements and cost savings • Build tools, frameworks, and apply ML techniques to detect & analyze efficiency bottlenecks and deliver productivity improvements for our researchers • Work with researchers working on a variety of innovative ML workloads across Robotics, Autonomous vehicles, LLM’s, Videos and more • Collaborate across the engineering organizations to deliver efficiency in our usage of hardware, software, and infrastructure • Proactively monitor fleet wide utilization patterns, analyze existing inefficiency patterns, or discover new patterns, and deliver scalable solutions to solve them • Keep up to date with the most recent developments in AI/ML technologies, frameworks, and successful strategies, and advocate for their integration within the organization.

🎯 Requirements

• BS or similar background in Computer Science or related area (or equivalent experience) • Minimum 8+ years of experience designing and operating large scale compute infrastructure • Strong understanding of modern ML techniques and tools • Experience investigating, and resolving, training & inference performance end to end • Debugging and optimization experience with NSight Systems and NSight Compute • Experience with debugging large-scale distributed training using NCCL • Proficiency in programming & scripting languages such as Python, Go, Bash, as well as familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) • Dedication to ongoing learning and staying updated on new technologies and innovative methods in the AI/ML infrastructure sector. • Excellent communication and collaboration skills, with the ability to work effectively with teams and individuals of different backgrounds

🏖️ Benefits

• equity • comprehensive benefits package