Santa Clara, California, United States · On-site
$124k–$196k/yr
We are looking for an experienced and highly motivated software professional to work on pioneering initiatives and projects at the intersection of CUDA and Deep Learning Systems. As the complexity and scale of artificial…
Skills: C++, Python, CUDA, Deep Learning, Distributed Computing
Santa Clara, California, United States · On-site
$184k–$357k/yr
We are looking for an experienced and highly motivated software professional to work on pioneering initiatives and projects at the intersection of CUDA and Deep Learning Systems. As the complexity and scale of artificial…
Skills: C++, Python, CUDA, Deep Learning, Distributed Computing
Austin, Texas, United States · Hybrid
$70k/yr
Job Posting Title: Licensed Clinical Social Worker, Pediatric Transplant ---- Hiring Department: Dell Medical School ---- Position Open To: All Applicants ---- Weekly Scheduled Hours: 40 ---- FLSA Status: Exempt from FLS…
Skills: Clinical Social Work, Biopsychosocial Assessment, Care Coordination, Discharge Planning, Patient Advocacy
Brisbane, Queensland, Australia · On-site
Who We Are ABOUT ENOVIS™ Enovis Corporation (NYSE: ENOV) is an innovation-driven medical technology growth company dedicated to developing clinically differentiated solutions that generate measurably better patient outco…
Skills: Systems engineering, Software engineering, C#, Unity, Surgical navigation
Austin, Texas, United States · On-site
At Zimmer Biomet, we believe in pushing the boundaries of innovation and driving our mission forward. As a global medical technology leader for nearly 100 years, a patient’s mobility is enhanced by a Zimmer Biomet produc…
Skills: Precision Measurement, GD&T, Blueprint Reading, Metrology, Quality Control Inspection
Austin, Texas, United States · On-site
Please Note: To conform with the United States Government Space Technology Export Regulations, the applicant must be a U.S. citizen, lawful permanent resident of the U.S., conditional resident, asylee or refugee (protect…
Skills: Electrical engineering, Digital electronics, Mixed-signal electronics, Hardware development, Altium Designer
Austin, Texas, United States · On-site
Please Note: To conform with the United States Government Space Technology Export Regulations, the applicant must be a U.S. citizen, lawful permanent resident of the U.S., conditional resident, asylee or refugee (protect…
Skills: Wire harness design, Schematic development, Cable routing, Connector selection, Harness assembly
Austin, Texas, United States · On-site
$150k–$254k/yr
Job Description See what you’re missing. Our employees work on the world’s most advanced electronics – from detecting threats for F-35 pilots to illuminating the night for soldiers. Spanning air, land, sea, and space, we…
Skills: Systems engineering, Pointing and tracking, Control systems, EO/IR systems, MATLAB
Austin, Texas, United States · On-site
Please Note: To conform with the United States Government Space Technology Export Regulations, the applicant must be a U.S. citizen, lawful permanent resident of the U.S., conditional resident, asylee or refugee (protect…
Skills: RF electronics design, Board-level schematic design, PCB layout, Link budgets, Modulation schemes
Austin, Texas, United States · On-site
Please Note: To conform with the United States Government Space Technology Export Regulations, the applicant must be a U.S. citizen, lawful permanent resident of the U.S., conditional resident, asylee or refugee (protect…
Skills: RF electronics design, Board-level schematic design, PCB layout, Link budgets, Modulation schemes
Austin, Texas, United States · On-site
$125k–$140k/yr
At Zimmer Biomet, we believe in pushing the boundaries of innovation and driving our mission forward. As a global medical technology leader for nearly 100 years, a patient’s mobility is enhanced by a Zimmer Biomet produc…
Skills: Program Coordination, Cross Functional Execution, Risk Management, Surgical Robotics, Medical Device Experience
Austin, Texas, United States · On-site
Please Note: To conform with the United States Government Space Technology Export Regulations, the applicant must be a U.S. citizen, lawful permanent resident of the U.S., conditional resident, asylee or refugee (protect…
Skills: Electrical engineering, Systems engineering, Project management, Software-defined radios, VPX electronics
Austin, Texas, United States · On-site
Please Note: To conform with the United States Government Space Technology Export Regulations, the applicant must be a U.S. citizen, lawful permanent resident of the U.S., conditional resident, asylee or refugee (protect…
Skills: Systems engineering, Space technology, Communication systems, Phased arrays, Antenna systems
Austin, Texas, United States · On-site
Please Note: To conform with the United States Government Space Technology Export Regulations, the applicant must be a U.S. citizen, lawful permanent resident of the U.S., conditional resident, asylee or refugee (protect…
Skills: Wire harness design, RapidHarness, Electrical engineering, Wire routing, Controlled impedance
Austin, Texas, United States · On-site
Please Note: To conform with the United States Government Space Technology Export Regulations, the applicant must be a U.S. citizen, lawful permanent resident of the U.S., conditional resident, asylee or refugee (protect…
Skills: Mechanical design, CAD, FEA, Electronics packaging, Thermal architecture
Austin, Texas, United States · On-site
Please Note: To conform with the United States Government Space Technology Export Regulations, the applicant must be a U.S. citizen, lawful permanent resident of the U.S., conditional resident, asylee or refugee (protect…
Skills: Phased array antennas, RF electronics, Systems engineering, Project management, Flight qualification
Austin, Texas, United States · On-site
Please Note: To conform with the United States Government Space Technology Export Regulations, the applicant must be a U.S. citizen, lawful permanent resident of the U.S., conditional resident, asylee or refugee (protect…
Skills: System engineering, Space technology, Communication systems, Phased arrays, Antenna systems
Austin, Texas, United States · On-site
Please Note: To conform with the United States Government Space Technology Export Regulations, the applicant must be a U.S. citizen, lawful permanent resident of the U.S., conditional resident, asylee or refugee (protect…
Skills: Electrical engineering, Hardware development, PCB layout, Altium Designer, Signal integrity
Austin, Texas, United States · On-site
Please Note: To conform with the United States Government Space Technology Export Regulations, the applicant must be a U.S. citizen, lawful permanent resident of the U.S., conditional resident, asylee or refugee (protect…
Skills: Mechanical design, Electronics packaging, CAD, SolidWorks, CATIA
Austin, Texas, United States · On-site
Who We Are We are a venture-backed manufacturing startup building the most advanced automated production facilities in the United States. We are on a mission to make American manufacturing economically viable — through i…
Skills: Textile testing, Quality systems, Fiber science, Yarn inspection, Fabric analysis
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You will research and prototype novel system optimizations for deep learning models by bridging high-level frameworks with low-level CUDA. Additionally, you will architect distributed computing systems and design custom high-performance kernels to maximize hardware utilization across clusters.
Candidates must hold a degree in Computer Science, Engineering, or a related field with at least 2 years of relevant industry or academic experience. Strong proficiency in C++, Python, and CUDA programming, along with a solid background in deep learning and distributed systems, is required.
We are looking for an experienced and highly motivated software professional to work on pioneering initiatives and projects at the intersection of CUDA and Deep Learning Systems. As the complexity and scale of artificial intelligence continue to grow, the intersection of advanced deep learning architectures, massive-scale distributed computing, and low-level hardware optimization has never been more critical. Our team is dedicated to exploring and prototyping next-generation ideas that bridge the gap between deep learning algorithms and CUDA, pushing the boundaries of what is possible on modern accelerator architectures. Join our dynamic, research-oriented team to help unlock maximum hardware performance for emerging AI workloads. You will be a crucial member of a highly technical group exploring uncharted territories in model optimization, custom kernel development, and cluster-scale AI systems design. If you are passionate about the fundamentals of deep learning and thrive on squeezing every ounce of performance out of advanced computing systems from a single GPU to supercomputer clusters, we want you on our team!
Explore, research, and prototype novel systems optimizations for advanced deep learning models at the intersection of high-level DL frameworks and low-level CUDA through modeling, simulation, and silicon prototyping.
Architect and optimize distributed computing systems that scale seamlessly from a single node to massive, cluster-scale supercomputing environments.
Design, implement, and optimize custom high-performance CUDA kernels tailored to emerging neural network architectures and workloads.
Analyze complex hardware-software interactions to identify and resolve performance bottlenecks in both training and inference pipelines.
Collaborate closely with AI researchers, HW and SW architects, kernel and compiler authors and CUDA driver experts to co-design systems and algorithms that improve accelerator compute utilization, memory bandwidth, cross-node network communication efficiency and programmability.
Develop exploratory tools and runtime systems to profile and accelerate new paradigms in deep learning.
Write clean, effective, and maintainable code, ensuring exploratory prototypes can smoothly transition into open-source releases, upstream framework integrations, internal tools, or closed-source commercial products.
BS, MS, or PhD degree in Computer Science, Computer Engineering, Electrical Engineering, or related field (or equivalent experience).
2+ years of relevant industry experience or equivalent academic experience after degree achievement.
Strong proficiency in C++ and Python programming.
Solid background in the fundamentals of Deep Learning with a focus on transformers.
Strong understanding of distributed computing principles, multi-node scaling, and the unique performance challenges of cluster-scale execution.
Proven experience in systems programming, computer architecture, and low-level systems performance optimization.
Familiarity with deep learning accelerator architectures such as the GPU and hands-on experience with CUDA programming, kernel optimization, and workload profiling
Experience profiling and optimizing generative AI models, including but not limited to, pioneering large language models.
Research background in machine learning systems or adjacent fields and experience profiling and optimizing innovative vision models, generative AI architectures, or diffusion models.
A track-record of initiative and willingness to deep-dive on problems across the stack.
Deep expertise in performance internals and execution graphs of major deep learning training and inference frameworks (e.g., PyTorch, JAX, TensorRT, vLLM, sgLang, Nemo, Megatron).
Hands-on experience with communication libraries (e.g., NCCL, MPI, UCX) and distributed machine learning techniques (e.g., pipeline, tensor, expert parallelism).
Knowledge of numerical methods and low-precision arithmetic (e.g., NVFP4, MXFP4, FP8, INT8) and their impact on deep learning accuracy and performance.
Background in deep learning compilers and ML systems, including graph-level and codegen tools (e.g., Triton, XLA, torch.compile) and highly parallel/RL-style simulation environments.
Experience designing and implementing agentic AI systems applied to complex systems and infrastructure problems.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.
Offices: 2701 San Tomas Expressway, Santa Clara, CA 95050, US · No. 8, Ji Hu Rd., Taipei City, Taipei City 114, TW · Nanakramguda, Serilingampally Mandal, Plot # 6A&B, IT Park Layout, RR District, Hyderabad, Telangana 500046, IN · No. 127 Andheri Kurla Road, CNB Square, Mumbai, Village Chakala, Andheri East 400 093, IN · Survey No. 144/145, Samrat Ashok Path, Off Airport Road, Pune, Yerwada 411 006, IN
Based on 611 listings with disclosed salaries, most science & research jobs in Austin, TX pay between $35k–$209k per year. Individual offers vary with seniority, company size, and specialization.
There are currently 1,272 open science & research positions in Austin, TX listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include UT Health Austin, Applied Materials, Texas Department of State Health Services, Ascension, Intel, among others. Browse the listings above to see every active employer.
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