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Added 1 hour ago
AI/ML Specialist Solution Architect (Early Talent)
Nebius
United States
…AI workloads. As an intern, you’ll support this mission by learning how real-world AI systems are designed, deployed, and optimized at GPU cloud scale. You’ll gain exposure to modern ML…
Added 13 hours ago
Senior Silicon Security Architect
NVIDIA Corporation
North District, IL · South District, IL · Haifa District, IL
NVIDIA’s invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning…
Added 13 hours ago
Senior GPU Architect, Deep Learning
NVIDIA Corporation
North District, IL
We are now looking for a Senior GPU Architect, Deep Learning! The NVIDIA GPU Architecture group is looking for a world class hardware architect to help define and drive future GPU…
Added 13 hours ago
Senior Software Architect, AI Cloud
NVIDIA Corporation
South District, IL · North District, IL · Haifa District, IL
NVIDIA has continuously reinvented itself over two decades. NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and…
Added 13 hours ago
Senior AI Storage Software Architect
NVIDIA Corporation
North District, IL
NVIDIA has continuously reinvented itself over two decades. NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and…
Added 13 hours ago
Senior Software Architect, AI Networking
NVIDIA Corporation
North District, IL
Deep understanding of deep learning systems, GPU acceleration, and AI model execution flows and/or high performance networking.
Added 13 hours ago
Senior Software E2E Architect
NVIDIA Corporation
North District, IL
Deep understanding of deep learning systems, GPU acceleration, and AI model execution flows
Added 13 hours ago
Senior System Software Architect, AI and GPU Networking
NVIDIA Corporation
North District, IL
As a Senior architect in the AI Networking Research team, you will explore technological challenges on accelerate networking and building AI data centers. Research new transport functions…
Added 13 hours ago
Senior AI Performance Network Architect
NVIDIA Corporation
North District, IL
…with artificial intelligence. We are seeking an AI Networking Architect to join the Networking Research Group. This role bridges the gap between emerging AI workloads and the data center…
Added 22 hours ago
Senior AI Engineer
Octus
NEW YORK, NY
Added 1 day ago
Senior HPC AI Cluster Engineer
NVIDIA Corporation
North District, IL
You will work with the latest Accelerated computing and Deep Learning software and hardware platforms, and with many scientific researchers, developers, and customers to craft improved…
Added 2 days ago
Senior Power and Thermal Architect
NVIDIA USA
CA
…headroom! We are the Silicon Co-Design Group (SCG). We are hiring a Senior Architect to scout the research and industry landscape, identify emerging system-level co-design ideas in power…
Added 2 days ago
Senior Machine Learning Scientist, Agentic AI & GenAI Systems (Growth Marketing)
Expedia, Inc.
WA
We are looking for a hands-on Senior Machine Learning Scientist who thrives on building end-to-end systems, from backend architecture to user-facing interfaces, including agentic UX/UI,…
Added 2 days ago
T
Principal Software Engineer Manager (AI Infrastructure) - North America Software Center
TSMC
Vancouver, WA
- $166,800 to $223,050 USD / year
In this dual-impact leadership role, you will combine deep technical expertise in distributed systems and AI platforms with strong people leadership. You will architect scalable,…
Added 3 days ago
Technical Recruiter
Unconventional, Inc.
Remote, United States
…well-capitalized team on a mission to break free from traditional GPU constraints and power the future of…
Added 3 days ago
RH
Senior Machine Learning Engineer
Red Hat, LLC
United States
- $186,160 to $287,410 USD / year
…profiling on NVIDIA GPUs using Nsight or similar tools; and GPU memory architecture and memory optimization for deep learning…
Added 3 days ago
Principal Engineer - AI Systems & Performance Lab
SanDisk
Milpitas, CA
Deep hands‑on experience with AI workloads (training and/or inference), including modern deep learning models and frameworks (e.g., PyTorch, TensorFlow, JAX, or equivalent).
Added 4 days ago
AIML - Senior Machine Learning Infrastructure Engineer -ML Compute, ML Platform & Technology
Apple
Santa Clara, CA
4+ years of hands-on experience in building scalable backend systems for training and evaluation of machine learning/deep learning models
Added 4 days ago
Senior Infrastructure Engineer
Level
Austin, TX
As an Senior Infrastructure Engineer on the Platform team, you will architect, build, and operate the cloud infrastructure and developer platform that every Level product runs on. You will…
Added 4 days ago
Principal Distributed Systems Software Engineer, Collectives
Advanced Micro Devices, Inc
San Jose, CA
…advanced technical and analytical skills in Linux environments and deep C++ expertise. The ideal candidate will excel in providing technical leadership, guiding teams, and driving projects…
Added 4 days ago
AI Engineer I, II, III or Senior
Tri-State Generation and Transmission Association, Inc.
Westminster, CO
The Senior AI Engineer leads AI engineering at Tri-State, guiding multiple engineering teams and projects from business opportunity through production delivery. A domain expert in…
Added 4 days ago
Senior HR Business Partner, Hardware
NVIDIA USA
CA
…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…
Added 5 days ago
Staff Machine Learning Operations Engineer - Computer Vision
ATI
Woburn, MA
Re-architect the pipeline off its current Cloud Functions MVP onto infrastructure that scales: containerized inference, GPU-backed or accelerated serving where it pays for itself, queueing,…
Added 5 days ago
Senior Forward Deployed Engineer (Model Customization and Optimization)
Amazon Web Services, Inc.
Boston, MA · Arlington, VA · Seattle, WA · New York, NY · East Palo Alto, CA
Senior FDEs work on the hardest problems where models meet systems: building domain foundation models, post-training frontier-scale open-weight models with reinforcement learning, and…
Added 5 days ago
AI & Machine Learning Engineering Consultant - Databricks - Senior - Consulting - Location OPEN
EY
Alpharetta, GA · Fort Worth, TX · Southfield, MI · Las Vegas, NV · Orlando, FL · San Diego, CA · Boston, MA · San Mateo, CA · Washington, DC · Arlington, VA · Nashville, TN · Secaucus, NJ · Palo Alto, CA · Detroit, MI · Milwaukee, WI · Raleigh, NC · Westlake Village, CA · Austin, TX · Albany, NY · Akron, OH · Tucson, AZ · Phoenix, AZ · Hartford, CT · Chicago, IL · Baltimore, MD · Pittsburgh, PA · Portland, OR · Cincinnati, OH · Jericho, NY · Seattle, WA · Tampa, FL · Richmond, VA · San Francisco, CA · New Brunswick, NJ · San Jose, CA · Sacramento, CA · Birmingham, AL · Baton Rouge, LA · Jacksonville, FL · Memphis, TN · Huntsville, AL · McLean, VA · Oklahoma City, OK · Grand Rapids, MI · Houston, TX · Stamford, CT · Toledo, OH · Atlanta, GA · Chattanooga, TN · Minneapolis, MN · St. Louis, MO · Tallahassee, FL · Charlotte, NC · Tulsa, OK · Cleveland, OH · Grandview Heights, OH · Salt Lake City, UT · Des Moines, IA · Hoboken, NJ · Rogers, AR · Greenville, SC · Kansas City, MO · Denver, CO · Chantilly, VA · Iselin, NJ · Louisville, KY · Rochester, NY · Dallas, TX · Providence, RI · Miami, FL · Los Angeles, CA · Indianapolis, IN · San Antonio, TX · Charleston, WV · Irvine, CA · Philadelphia, PA · Wichita, KS · Boca Raton, FL · Buffalo, NY · New Orleans, LA · New York, NY
As a Senior AI Engineer, you will be at the forefront of revolutionizing how businesses leverage artificial intelligence. Your role will involve researching, building, and implementing…

Red Hat, LLC

Senior Machine Learning Engineer

United States

$186,160 to $287,410 USD / year

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Job details

Pay: $186,160 to $287,410 USD / year
Apply by: Dec 26, 2026
Posting language: English
Posted: Oct 29, 2026

Original job description

*Telecommuting permitted: work may be performed within normal commuting distance from the Red Hat, LLC office in Boston, MA.

Lead the design and implementation of high-performance Python, C++, CUDA, and Triton code for vLLM-based inference systems, GPU kernels, and numerical computing components in production-scale LLM serving environments.

What You Will Do:

Architect, develop, and optimize advanced LLM inference algorithms, including quantization, sparsification, speculative decoding, paged attention, KV cache optimization, batching, scheduling, and memory management, to significantly improve latency, throughput, scalability, and cost efficiency.
Drive deep performance profiling, benchmarking, and modeling on NVIDIA GPUs, using tools such as Nsight Systems, Nsight Compute, CUPTI, PyTorch Profiler, CUDA, Triton, and CUTLASS to identify bottlenecks and deliver measurable system-level improvements.
Own the end-to-end optimization of vLLM-based inference pipelines, including kernel-level tuning, runtime optimization, distributed inference, multi-GPU serving, tensor/pipeline parallelism, and large-scale deployment performance.
Evaluate, prototype, and integrate state-of-the-art LLM serving techniques from cutting-edge research and open-source communities, including quantization, sparsity, speculative decoding, continuous batching, prefix caching, attention optimization, and model compression.
Set engineering standards for performance-critical code, conduct rigorous peer reviews, guide testing and benchmarking strategies, and leverage AI-assisted development tools to maintain high code quality, reliability, and maintainability.
Contribute to and maintain upstream open-source ML infrastructure vLLM, including reviewing pull requests, triaging issues, participating in design discussions, and supporting release readiness.
Stay at the forefront of LLM systems research and GPU computing advancements, proactively identifying opportunities to improve the product through emerging techniques in serving efficiency, hardware utilization, and model acceleration.

What You Will Bring:

Master's degree (U.S. or foreign equivalent) in Computer Science, Computer Engineering, or related field and three (3) years of experience in the job offered or related role OR Bachelor's degree (U.S. or foreign equivalent) in Computer Science, Computer Engineering, or related field and five (5) years of experience in the job offered or related role.
Must have three (3) years of experience with: high-performance Python and Modern C++ development; performance analysis, benchmarking, and profiling on NVIDIA GPUs using Nsight or similar tools; and GPU memory architecture and memory optimization for deep learning workloads.
Must have two (2) years of experience with: making open-source pull requests to PyTorch or vLLM; CUDA, Triton, or CUTLASS kernel optimization; LLM inference optimization, including quantization, KV cache or batching; distributed computing including inter and intra GPU communication protocols; and leading technical design, reviewing performance-critical code.

The salary range for this position is $186,160 - $287,410/year. Actual offer will be based on your qualifications.

Pay Transparency Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat’s compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience.

About Red Hat Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.

Inclusion at Red Hat Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.

Equal Opportunity Policy (EEO) Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.

Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply.

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