Explore 7 optimization algorithm developer jobs from 4 hiring companies in Lathrop, CA, US. Filter by remote, salary, experience, and company, then open any listing to apply.

optimization-algorithm-developer

Optimization Algorithm Developer

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San Jose

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Optimization Algorithm Developer Jobs

NVIDIA

Intel

Cohesity

Cover

Hybrid

Onsite

<h1>Job Details:</h1><h2>Job Description:&nbsp;</h2>The Software and AI (SAI) organization is seeking a highly skilled Software Development Engineer to contribute to the development and optimization of oneDNN, a complex, cross‑platform, open‑source performance library for deep learning applications (<a href="https://github.com/uxlfoundation/oneDNN" target="_blank">https://github.com/uxlfoundation/oneDNN</a>).oneDNN is a critical and highly visible component of Intel’s AI strategy, powering industry‑leading frameworks such as OpenVINO, TensorFlow, PyTorch, ONNX Runtime, and many others.This is a unique opportunity to work at the intersection of AI algorithms, low‑level performance engineering, and cutting‑edge Intel hardware, enabling state‑of‑the‑art neural network performance across CPUs, integrated graphics, and discrete GPUs.Responsibilities<ul><li>Design, develop, and optimize new features and algorithms for oneDNN targeting Intel processors, Intel Processor Graphics, and Intel discrete GPUs.</li><li>Perform performance analysis and optimization to achieve best‑in‑class deep‑learning inference and training throughput on current and next‑generation Intel platforms.</li><li>Develop hardware‑specific parallel algorithms, including multithreading, vectorization, and memory‑layout optimizations.</li><li>Contribute to assembly‑level programming and low-level performance tuning for Intel microarchitectures.</li><li>Collaborate with cross‑functional teams across software engineering, architecture, and AI performance to ensure strong integration with Intel’s broader AI ecosystem.</li><li>Engage with the open‑source community, participate in code reviews, and maintain high-quality coding and documentation standards.</li></ul>Why Join Us<ul><li>Work on a global, high‑impact open‑source AI project used across leading deep‑learning frameworks.</li><li>Influence AI performance across Intel’s full hardware roadmap, from CPUs to GPUs.</li><li>Collaborate with top experts in deep learning, HPC, compilers, and systems optimization.</li><li>Contribute to technology adopted by millions of developers worldwide.</li><li>Engage with a highly visible open‑source product and the latest Intel hardware generations.</li><li>Enjoy a safe, flexible, and supportive work environment—remote or onsite—focused on employee well‑being.</li><li>Benefit from flexible working hours.</li><li>Access a comprehensive benefits package: stock program, annual and quarterly bonuses, pension plan, medical and life insurance for you and your family, peer‑to‑peer recognition, meal card, Multisport card, holiday card, employee discounts, events, and more.</li></ul><h2>Qualifications:</h2>Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.Minimum Qualifications: <ul><li>Master or PhD Mathematics, Physics, Computer Science or in a related field</li><li>5&#43; years of experience in the following areas:<ul><li>C&#43;&#43;</li><li>Algorithms and data structures, or Mathematical background</li><li>Low-level Performance Optimizations, preferably on GPUs </li></ul></li></ul>Preferred Qualifications:<ul><li>3 years&#43; High-performance computing (HPC) applications development</li><li>1 year&#43; Machine learning and deep learning algorithms</li><li>1 year&#43; Agile software development environment</li><li>1 year&#43; Intel development tools.</li><li>Software libraries design and architecture</li><li>Background in Linear algebra solvers, matrix-vector operations, or Fast Fourier Transforms</li><li>Software development on Linux</li><li>GPU optimizations (OpenCL, CUDA, SYCL/DPC&#43;&#43;, C for Metal or similar)</li><li>Parallel programming (OpenMP, TBB, or MPI)</li></ul>          <h2>Job Type:</h2>Experienced Hire<h2>Shift:</h2>Shift 1 (United States of America)<h2>Primary Location:&nbsp;</h2>US, Oregon, Hillsboro<h2>Additional Locations:</h2>US, California, Santa Clara<h2>Business group:</h2>The Software Team drives customer value by enabling differentiated experiences through leadership AI technologies and foundational software stacks, products, and services. The group is responsible for developing the holistic strategy for client and data center software in collaboration with OSVs, ISVs, developers, partners and OEMs. The group delivers specialized NPU IP to enable the AI PC and GPU IP to support all of Intel's market segments. The group also has HW and SW engineering experts responsible for delivering IP, SOCs, runtimes, and platforms to support the CPU and GPU/accelerator roadmap, inclusive of integrated and discrete graphics.<h2>Posting Statement:</h2>All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.<h2></h2><h2>Position of Trust</h2>N/A<h2>Benefits</h2>We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the <a target="_blank" href="https://intel.wd1.myworkdayjobs.com/External/page/1025c144664a100150b4b1665c750003">benefits of working at Intel</a>.   Annual Salary Range for jobs which could be performed in the US: $195,200.00-275,580.00 USD  The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.  Work Model for this RoleThis role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.*ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

Senior AI Algorithm Engineer

AI Algorithm Engineer

Master or PhD in Mathematics, Physics, or Computer Science; 5+ years in C++, algorithms, low-level optimization; HPC/ML experience preferred.

<h1>Job Details:</h1><h2>Job Description:&nbsp;</h2>The Software and AI (SAI) organization is seeking a highly skilled Software Development Engineer to contribute to the development and optimization of oneDNN, a complex, cross‑platform, open‑source performance library for deep learning applications (<a href="https://github.com/uxlfoundation/oneDNN" target="_blank">https://github.com/uxlfoundation/oneDNN</a>).oneDNN is a critical and highly visible component of Intel’s AI strategy, powering industry‑leading frameworks such as OpenVINO, TensorFlow, PyTorch, ONNX Runtime, and many others.This is a unique opportunity to work at the intersection of AI algorithms, low‑level performance engineering, and cutting‑edge Intel hardware, enabling state‑of‑the‑art neural network performance across CPUs, integrated graphics, and discrete GPUs.Responsibilities<ul><li>Design, develop, and optimize new features and algorithms for oneDNN targeting Intel processors, Intel Processor Graphics, and Intel discrete GPUs.</li><li>Perform performance analysis and optimization to achieve best‑in‑class deep‑learning inference and training throughput on current and next‑generation Intel platforms.</li><li>Develop hardware‑specific parallel algorithms, including multithreading, vectorization, and memory‑layout optimizations.</li><li>Contribute to assembly‑level programming and low-level performance tuning for Intel microarchitectures.</li><li>Collaborate with cross‑functional teams across software engineering, architecture, and AI performance to ensure strong integration with Intel’s broader AI ecosystem.</li><li>Engage with the open‑source community, participate in code reviews, and maintain high-quality coding and documentation standards.</li></ul>Why Join Us<ul><li>Work on a global, high‑impact open‑source AI project used across leading deep‑learning frameworks.</li><li>Influence AI performance across Intel’s full hardware roadmap, from CPUs to GPUs.</li><li>Collaborate with top experts in deep learning, HPC, compilers, and systems optimization.</li><li>Contribute to technology adopted by millions of developers worldwide.</li><li>Engage with a highly visible open‑source product and the latest Intel hardware generations.</li><li>Enjoy a safe, flexible, and supportive work environment—remote or onsite—focused on employee well‑being.</li><li>Benefit from flexible working hours.</li><li>Access a comprehensive benefits package: stock program, annual and quarterly bonuses, pension plan, medical and life insurance for you and your family, peer‑to‑peer recognition, meal card, Multisport card, holiday card, employee discounts, events, and more.</li></ul><h2>Qualifications:</h2>Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.Minimum Qualifications: <ul><li>BSc, MSc or PhD in Mathematics, Physics, Computer Science or in a related field</li><li>5&#43; years of experience in the following areas:<ul><li>C&#43;&#43;</li><li>Algorithms and data structures, or Mathematical background</li><li>Low-level Performance Optimizations, preferably on GPUs </li></ul></li></ul>Preferred Qualifications:<ul><li>3 years&#43; High-performance computing (HPC) applications development</li><li>1 year&#43; Machine learning and deep learning algorithms</li><li>1 year&#43; Agile software development environment</li><li>1 year&#43; Intel development tools.</li><li>Software libraries design and architecture</li><li>Background in Linear algebra solvers, matrix-vector operations, or Fast Fourier Transforms</li><li>Software development on Linux</li><li>GPU optimizations (OpenCL, CUDA, SYCL/DPC&#43;&#43;, C for Metal or similar)</li><li>Parallel programming (OpenMP, TBB, or MPI)</li></ul>          <h2>Job Type:</h2>Experienced Hire<h2>Shift:</h2>Shift 1 (United States of America)<h2>Primary Location:&nbsp;</h2>US, Oregon, Hillsboro<h2>Additional Locations:</h2>US, California, Santa Clara<h2>Business group:</h2>Silicon and Platform Engineering Group (SPE): Deliver breakthrough silicon and platform solutions that deliver industry-leading products today while also defining the next generation of computing experiences.<h2>Posting Statement:</h2>All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.<h2></h2><h2>Position of Trust</h2>N/A<h2>Benefits</h2>We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the <a target="_blank" href="https://intel.wd1.myworkdayjobs.com/External/page/1025c144664a100150b4b1665c750003">benefits of working at Intel</a>.   Annual Salary Range for jobs which could be performed in the US: $195,200.00-275,580.00 USD  The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.  Work Model for this RoleThis role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.*ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

Senior AI Algorithm Engineer in oneDNN

BSc/MSc/PhD in CS/Math/Physics; 5+ years in C/C++ with low-level optimization; HPC/ML experience preferred.

Interested candidates based outside of the designated areas are welcome to apply, provided they have the indefinite right to work in the job location.<a target="_blank" href="https://www.cohesity.com/">Cohesity</a> is a leader in AI-powered data security and management. Aided by an extensive ecosystem of partners, Cohesity makes it easy to secure, protect, manage, and get value from data — across the data center, edge, and cloud. Cohesity helps organizations defend against cybersecurity threats with comprehensive data security and management capabilities, including immutable backup snapshots, AI-based threat detection, monitoring for malicious behavior, and rapid recovery at scale. We’ve been named a Leader by multiple analyst firms and have been <a target="_blank" href="https://www.cohesity.com/company/awards/">globally recognized</a> for Innovation, Product Strength, and Simplicity in Design. Join us on our mission to shape the future of our industry.<div></div><div><div><div><div><div><div><div><div><div>We are seeking motivated, hardworking Software Engineers eager to enhance Cohesity’s products by developing features, tools, and scripts that simplify the process of selling, deploying, and maintaining them. You are not only a Software Engineer who crafts and implements features, but should have a curiosity about diagnosing problems in large bodies of sophisticated code, understand scalability and performance, and work on fixes with rapid turnaround time and high quality. This position will focus on working closely with our Product and Sustenance Engineering team, as well as with Product Managers, Customer Support, System Engineers, and customers.HOW YOU&#39;LL SPEND YOUR TIME HERE:<ul><li>Design, develop, and maintain innovative products for our on-prem as well as SaaS offerings, including distributed file systems, archival products, and cloud services.</li><li>Efficiently collaborating with product management, other cross-functional leads, and teams on both technical and business strategies to improve and build the future product roadmap for Cohesity’s infinitely scalable platform.</li><li>Implement product features for on-prem and cloud platforms.</li><li>Drive accountability for test-driven development, delivery of high-quality features and resilient enterprise-class solutions</li><li>Lead a culture of team ownership and direct individual and team accountability to improve how they work and achieve results continuously.</li><li>Participating in Agile development processes.</li></ul>WE&#39;D LOVE TO TALK TO YOU IF YOU HAVE MANY OF THE FOLLOWING:<ul><li>Min 10&#43; years of back-end software development experience</li><li>BS/MS/PhD in Computer Science with strong competencies in data structures, algorithms, and software design</li><li>Development experience with large-scale, highly available distributed systems is a plus</li><li>Understanding of multithreading, concurrency, and parallel processing</li><li>Expert-level programming and debugging skills in C&#43;&#43;</li><li>Strong knowledge of system performance and scaling</li><li>Previous experience in distributed file systems.</li><li>Proven skills to solve complex problems. </li><li>Experience with debugging and diagnosing production software.</li><li>Ability to drive tasks to completion and take ownership of projects</li><li>Ability to work in a fast-paced and agile development environment</li><li>Possess excellent communication and sharp analytical abilities</li></ul>#LI-LM1</div></div></div></div></div></div></div></div></div>Disclosure Pursuant to Applicable State Equal Pay Transparency Laws - This position has a starting pay range as listed below. Actual salary depends upon many factors, including a candidate’s skills, qualifications and experience, location, and salary expectations, and therefore a starting salary at the low end, high end, or even above the stated range may be offered. This position may also be eligible for bonus compensation, commission (if in a sales function), and/or equity grants. Additionally, full-time employees are eligible to participate in our comprehensive benefits framework, including health and wellness benefits, vacation, paid holidays and refresh days, 401(k) retirement plan, life and disability insurance coverages, and other benefits the Company may offer from time to time.<div><div><div><div><div><div><div>Pay Range :</div></div></div></div></div></div></div>$203,101.00-$225,668.26The compensation noted above is based on an annualized hourly rate assuming normal full-time employment.Data Privacy Notice for Job Candidates: For information on personal data processing, please see our <a target="_blank" href="https://www.cohesity.com/legal/privacy/candidate-privacy-policy/">Privacy Policy</a>. Equal Employment Opportunity Employer (EEOE) Cohesity is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status or any other category protected by law. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact us at 1-855-9COHESITY or <a target="_blank" href="mailto:recruiting&#64;cohesity.com">recruiting&#64;cohesity.com</a> for assistance. In-Office Expectations Cohesity employees who are within a reasonable commute (e.g. within a forty-five (45) minute average travel time) work out of our core offices 2-3 days a week of their choosing.Interested candidates based outside of the designated areas are welcome to apply, provided they have the right to work in the job location.

Staff Software Engineer, Storage  Filesystems

Staff Software Engineer

10+ years backend development, BS/MS/PhD in CS, strong data structures/algorithms, distributed systems experience, C++, performance and scalability focus.

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Cover is an AI security company developing concealed weapon detection systems. Cover's imaging technology scans students for concealed weapons in K-12 schools in the United States. Our goal is to deter school shootings by identifying concealed weapons inside of bags and underneath clothing. Our office for this hire is in San Jose, CA and requires 5 days per week in-office work.&nbsp;
We are looking for a highly skilled and motivated engineer to develop and optimize radar imaging algorithms for Cover's concealed weapon detection system. The candidate will join a strong team of engineers working across radar signal processing, real-time GPU computing, and system performance analysis to deliver a deployable commercial product.
The candidate will own the core image formation pipeline - developing 3D radar imaging algorithms, pushing them to real-time performance on GPU hardware, and building the tools needed to analyze and validate system performance. The position is expected to last for two years with high potential for growth and follow-on employment at the company.
Responsibilities:
<ul>
<li>Development of 3D radar image formation algorithms</li>
<li>Optimization of algorithms for real-time performance on GPUs</li>
<li>Development of image performance analysis and diagnostic tools</li>
<li>Radar data analysis</li>
<li>Radar system performance analysis</li>
<li>Attend and present results and progress at bi-weekly meetings</li>
<li>Be present in the laboratory on a daily basis</li>
</ul>
Requirements:
<ul>
<li>College degree required. Master's or PhD in Electrical Engineering, Physics, or related field acceptable, with compensation in accord with experience and degree level</li>
<li>Experience with imaging algorithm development for MIMO and SAR radar systems</li>
<li>Experience with development of GPU-optimized processing code</li>
<li>Strong grasp of radar fundamentals, especially for wideband FMCW systems</li>
<li>Strong software development skills</li>
<li>Fluency in Python and C with CUDA</li>
<li>Willingness and propensity to learn new skills and take on tasks outside the core job description</li>
<li>Ability to work collaboratively on a multidisciplinary team of hardware and software engineers</li>
<li>Motivated and invested in the success of the project</li>
<li>Due to technology export restrictions, applicant must be a US Person (citizen or legal permanent resident)</li>
</ul>
 The US base salary range for this full-time position is between $150,000 - $350,000 annually.
The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.&nbsp;
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Radar Imaging Engineer

Develop 3D radar imaging algorithms, GPU optimization, and data analysis; strong software and radar fundamentals; US Person due to export restrictions.

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. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work.Come join the team and see how you can make a lasting impact on the world. We are looking for an AI &amp; Deep Learning Compiler Engineer. NVIDIA is hiring software engineers for its Deep Learning &amp; AI Compiler (DLC) team. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning, enabling breakthroughs in many areas, e.g. large language models, generative AI, recommendation systems, image classification, speech recognition, etc. With the rapid advancement of AI, our DLC has been the backbone of NVIDIA’s inference engine, spanning across data centers, personal devices, automotive, and robotics. The compiler must deliver leading inference performance, fast build time, reduced memory footprints, and ease of use in the forms of both Ahead-of-Time and Just-in-Time. Join the team building the DLC which will be used by the entire deep learning community.What you&#39;ll be doing:<ul><li>Analyzing deep learning networks and developing compiler optimization algorithms.</li><li>Strong programming skills in CUDA including analyzing and debugging performance bottlenecks on GPUs</li><li>Scope of these efforts includes defining public APIs, performance optimizations and analysis, crafting and implementing compiler techniques for AI workloads and future NVIDIA GPUs.</li></ul>What we need to see:<ul><li>Bachelor’s, master’s or Ph.D. in Computer Science, Computer Engineering, related field or equivalent experience.</li><li>3&#43; years of relevant work or research experience in performance analysis and compiler optimizations.</li><li>Experience with compiler technologies (e.g., MLIR, LLVM, XLA, Triton, etc.).</li><li>Excellent C/C&#43;&#43; and Python programming and software design skills, including debugging, performance analysis, and test design.</li><li>Ability to work independently, define project goals and scope, and lead your own development efforts.</li><li>Strong interpersonal skills are required along with the ability to work in a dynamic product-oriented team.</li></ul>Ways to stand out from the crowd:<ul><li>Proficient in CPU and/or GPU architecture especially modern Nvidia GPUs like Hopper and Blackwell</li><li>Understanding of deep learning models, algorithms, and frameworks, such as PyTorch, JAX.</li><li>GPU kernel authoring and performance analysis using tools such as Nsight Compute.</li><li>A track record of success in mentoring early-career engineers and interns is a bonus.</li><li>Track record on new hardware bring-up is a plus.</li></ul>With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry&#39;s most desirable employers. We have some of the most brilliant and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles.​Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD.<div><div><div><div><div><div><div>You will also be eligible for equity and <a href="https://www.nvidia.com/en-us/benefits/" target="_blank">benefits</a>.</div></div></div></div></div></div></div>Applications for this job will be accepted at least until May 4, 2026.This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.NVIDIA is committed to fostering a diverse 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.

Senior AI Compiler Engineer, Algorithms and Code-Generation

AI Compiler Engineer

Bachelor’s/Master’s/Ph.D. in CS/CE or related field; 3+ years in performance analysis and compiler optimizations; experience with MLIR/LLVM/XLA/Triton; strong C/C++ and Python; independent and collaborative; good communication.

Nvidia

We are now looking for a Senior DL Algorithms Engineer! NVIDIA is seeking senior engineers who are mindful of performance analysis and optimization to help us squeeze every last clock cycle out of Deep Learning workloads. If you are unafraid to work across all layers of the hardware/software stack from GPU architecture to Deep Learning Framework to achieve peak performance, we want to hear from you! This role offers an opportunity to directly impact the hardware and software roadmap in a fast-growing technology company that leads the AI revolution.  What you will be doing:<ul><li>Implement language and multimodal model inference as part of NVIDIA Inference Microservices (NIMs).</li><li>Contribute new features, fix bugs and deliver production code to TRT-LLM, NVIDIA’s open-source inference serving library.</li><li>Profile and analyze bottlenecks across the full inference stack to push the boundaries of inference performance.</li><li>Benchmark state-of-the-art offerings in various DL models inference and perform competitive analysis for NVIDIA SW/HW stack.</li><li>Collaborate heavily with other SW/HW co-design teams to enable the creation of the next generation of AI-powered services.</li></ul>What we want to see:<ul><li>PhD in CS, EE or CSEE or equivalent experience.</li><li>5&#43; years of experience.</li><li>Strong background in deep learning and neural networks, in particular inference.</li><li>Experience with performance profiling, analysis and optimization, especially for GPU-based applications.</li><li>Proficient in C&#43;&#43;, PyTorch or equivalent frameworks.</li><li>Deep understanding of computer architecture, and familiarity with the fundamentals of GPU architecture.</li></ul>Ways to stand out from the crowd:<ul><li>Proven experience with processor and system-level performance optimization.</li><li>Deep understanding of modern LLM architectures.</li><li>Strong fundamentals in algorithms.</li><li>GPU programming experience (CUDA or OpenCL) is a plus</li></ul>Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.<div><div><div><div><div><div><div>You will also be eligible for equity and <a href="https://www.nvidia.com/en-us/benefits/" target="_blank">benefits</a>.</div></div></div></div></div></div></div>Applications for this job will be accepted at least until February 22, 2026.This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.NVIDIA is committed to fostering a diverse 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.

Senior DL Algorithms Engineer - Inference Performance

Algorithms Engineer

PhD in CS/EE/CSEE or equivalent, 5+ years in deep learning inference, strong profiling/optimization, proficient in C++ and PyTorch, knowledge of GPU architecture.

We are looking for a Senior DL Algorithms Engineer for LLM/Omni model optimizations! Seeking senior engineers who are mindful of performance analysis and optimization to help us squeeze every last clock cycle out of Deep Learning workloads. If you are unafraid to work across all layers of the hardware/software stack from GPU architecture to Deep Learning Framework to achieve peak performance, we want to hear from you! This role offers an opportunity to directly impact the hardware and software roadmap in a fast-growing technology company that leads the AI revolution.What you will be doing:<ul><li>Enable and optimize state-of-the-art open models (like Nemotron and Cosmos) on NVIDIA’s accelerated inference SW stack.</li><li>Contribute new features, fix bugs and deliver production code to open-source frameworks like TRT-LLM, vLLM, SGLang, FlashInfer, etc.</li><li>Profile and analyze bottlenecks across the full inference stack to push the boundaries of inference performance.</li><li>Benchmark state-of-the-art offerings and perform competitive analysis for NVIDIA’s SW/HW stack.</li><li>Co-design with partner teams to develop the next generation of AI models and services.</li></ul>What we want to see:<ul><li>PhD in CS, EE or CSEE or equivalent experience.</li><li>3&#43; years of experience.</li><li>Strong background in deep learning and neural networks, in particular inference.</li><li>Experience with performance profiling, analysis and optimization, especially for GPU-based applications.</li><li>Proficient in PyTorch or equivalent frameworks for AI, or HPC-heavy application development.</li><li>Deep understanding of computer architecture, and familiarity with the fundamentals of GPU architecture.</li></ul>Ways to stand out from the crowd:<ul><li>Proven experience with processor and system-level performance optimization.</li><li>Deep understanding of modern LLM/Diffusion architectures.</li><li>Strong fundamentals in algorithms.</li><li>GPU programming experience (CUDA or OpenCL) is a strong plus.</li></ul>Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.<div><div><div><div><div><div><div>You will also be eligible for equity and <a href="https://www.nvidia.com/en-us/benefits/" target="_blank">benefits</a>.</div></div></div></div></div></div></div>Applications for this job will be accepted at least until May 9, 2026.This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.NVIDIA is committed to fostering a diverse 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.

Senior DL Algorithms Engineer

PhD in CS/EE/CSEE or equivalent; 3+ years in deep learning inference; strong profiling/optimization for GPU; PyTorch experience; understanding of GPU architecture.

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