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We are looking for a Software Engineering Manager to lead a team responsible for platform expansion & readiness, enabling CUDA Math Libraries on new and specialized platforms. Around the world, leading commercial and academic organizations are revolutionizing AI, data analytics, and scientific and engineering simulations using data centers powered by GPUs. NVIDIA’s math libraries are core to the world’s AI infrastructure and must deliver functionality and performance on every target. In this role, you will lead and build a team that provides a single accountable organization for platform integration, functional qualification, compliance, and performance readiness across CUDA Math Libraries, working closely with the core library and devops engineering teams to ensure consistent, high-quality support on every expanding platform. Ideal candidates will be hands-on engineers who also have experience leading software product engineering teams in accelerated computing domains. If this sounds exciting, we would love to meet you! What You’ll Be Doing: Lead, mentor, and develop your team. Own end-to-end platform readiness across Math Libraries for specialized platforms including integration, functional qualification, and compliance. Collaborate with CI/CD, build, and test infrastructure teams to establish platform-specific qualification and validation pipelines. Perform defect triage and isolation of platform-specific versus library-specific problems, fixing bugs to ensure functional correctness, and referring to a library specialist as needed. Identify performance targets for new platforms, establish performance testing and fix performance regressions. Define and deliver to a technical roadmap for platform readiness that scales with the number and complexity of supported platforms. Work closely within a team of product, engineering, and program managers for dependency coordination across library teams, CUDA, compilers, QA, release processing, and platform organizations. What We Need to See: PhD or MSc degree in Computational Science and Engineering, Computer Science, Applied Mathematics, or related science or engineering field (or equivalent experience). 8+ years of overall experience developing high-performance numerical software. 3+ years leading and mentoring software engineering teams. Hands-on experience with object-oriented programming, large system software architecture development, parallel computing, testing, maintenance, and performance optimization of HPC software using C++ and Python. Strong understanding of fundamental numerical methods and computations in science, engineering, and/or deep learning. Strong communication, collaboration, and documentation habits. Experience with, and motivation to adopt and advance, software development practices such as CI/CD systems and project management tools such as JIRA. Ways to Stand Out from the Crowd: Experience with CUDA, GPU-accelerated computing, and parallel programming (e.g. MPI, OpenMP, OpenACC, pthreads). Familiarity with math libraries (BLAS, LAPACK, FFT, sparse solvers). Proven track record using Agentic AI to boost your efficiency and code quality. Experience with cross-platform software development and platform bring-up across multiple architectures. Experience delivering software for safety-critical or embedded environments (e.g., DriveOS, ISO 26262). #LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 3, and 272,000 USD - 431,250 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 2, 2026. 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.

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. Join a team that analyzes large-scale datacenter workloads on GPU-accelerated clusters. You will turn telemetry and workload data into clear findings and visuals. You will partner with OS, container, GPU, and systems engineers. When useful, you will apply machine learning and deep learning techniques for categorization and forecasting. These will be coordinated into tools the team actually uses. What you’ll be doing: Analyze large-scale workloads and infrastructure signals to find application and platform improvement opportunities. Work with high-dimensional data: spot trends, tie changes to known events, summarize conclusions, and communicate results to engineers and leadership. Partner with the team to clarify questions, scope analyses, and document methods so others can extend your work. Build and maintain practical visualizations and lightweight implementations (e.g. ML/DL for classification/prediction) inside existing software workflows. What we need to see: 5+ years analyzing complex datasets, debugging data issues, and communicating trends clearly. BS or MS in Engineering, Mathematics, Physics, Computer Science, or equivalent experience. Strong Python and JavaScript; Comfortable being responsible for an analysis end-to-end. Hands-on use of telemetry / observability stacks (e.g. Grafana, Elasticsearch, Splunk). Shown grasp of core ML concepts; quick learner; strong analytical and problem-solving skills. Collaboration and communication. Ways to stand out from the crowd: TensorFlow or PyTorch Linux and HPC / large-scale or performance-sensitive environments Experience visualizing high-dimensional problems Diligent, action-biased analysis style NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! NVIDIA also offers a comprehensive benefits package. We provide health care coverage, dental and vision, 401(K), including company matching and after tax contributions, Employee Stock Purchase Program (ESPP), Employee Assistance Program (EAP), company paid holidays, paid sick leave, vacation leave, professional time off, life and disability protection. 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. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 2, 2026. 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.

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. Join a team that analyzes large-scale datacenter workloads on GPU-accelerated clusters. You will turn telemetry and workload data into clear findings and visuals. You will partner with OS, container, GPU, and systems engineers. When useful, you will apply machine learning and deep learning techniques for categorization and forecasting. These will be coordinated into tools the team actually uses. What you’ll be doing: Analyze large-scale workloads and infrastructure signals to find application and platform improvement opportunities. Work with high-dimensional data: spot trends, tie changes to known events, summarize conclusions, and communicate results to engineers and leadership. Partner with the team to clarify questions, scope analyses, and document methods so others can extend your work. Build and maintain practical visualizations and lightweight implementations (e.g. ML/DL for classification/prediction) inside existing software workflows. What we need to see: 5+ years analyzing complex datasets, debugging data issues, and communicating trends clearly. BS or MS in Engineering, Mathematics, Physics, Computer Science, or equivalent experience. Strong Python and JavaScript; Comfortable being responsible for an analysis end-to-end. Hands-on use of telemetry / observability stacks (e.g. Grafana, Elasticsearch, Splunk). Shown grasp of core ML concepts; quick learner; strong analytical and problem-solving skills. Collaboration and communication. Ways to stand out from the crowd: TensorFlow or PyTorch Linux and HPC / large-scale or performance-sensitive environments Experience visualizing high-dimensional problems Diligent, action-biased analysis style NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! NVIDIA also offers a comprehensive benefits package. We provide health care coverage, dental and vision, 401(K), including company matching and after tax contributions, Employee Stock Purchase Program (ESPP), Employee Assistance Program (EAP), company paid holidays, paid sick leave, vacation leave, professional time off, life and disability protection. 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. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 2, 2026. 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.

NVIDIA DGX Cloud provides the infrastructure and software platform that enables enterprises to build, train, and deploy AI at scale. As demand for accelerated computing grows, effective capacity management is critical to delivering reliable customer experiences while maximizing the utilization of constrained GPU infrastructure. We are looking for a Senior Software Engineer to design and build the systems that connect customer demand, infrastructure supply, reservations, allocation, and utilization across DGX Cloud environments. You will work with engineering, product, operations, finance, and business teams to transform complex capacity data and operational processes into scalable software and automated decision-making. What You’ll Be Doing: Design and build distributed services and data pipelines for capacity planning, allocation, reservations, and utilization. Develop a unified model of available, committed, and forecasted GPU capacity across cloud providers, regions, clusters, and products. Automate capacity-management workflows currently dependent on manual analysis and coordination. Build APIs, tools, and integrations that enable other DGX Cloud systems and teams to make capacity-aware decisions. Improve forecasting, scenario planning, and operational visibility by combining demand signals with infrastructure supply data. Establish monitoring, data-quality controls, and service-level indicators for capacity systems. Lead technical design reviews, establish engineering standards, and mentor other engineers. Diagnose complex production issues and improve the reliability, performance, and scalability of capacity-management services. What We Need to See: BS or equivalent experience in Computer Science, Computer Engineering, or a related technical field. 5+ years of software engineering experience building production systems. Strong programming experience in languages such as Python, Go, Java, or similar. Experience designing distributed systems, backend services, APIs, and data-processing pipelines. Experience working with cloud infrastructure, Kubernetes, compute platforms, or large-scale resource-management systems. Strong understanding of data modeling, system integration, observability, and production operations. Ability to turn ambiguous business and operational requirements into clear technical designs. Strong communication skills and experience working across engineering and non-engineering organizations. Ways to Stand Out From the Crowd: Experience with GPU infrastructure, AI/ML platforms, schedulers, cluster management, or accelerated computing. Experience building capacity planning, inventory, supply-and-demand, quota, reservation, or resource-allocation systems. Familiarity with optimization, forecasting, simulation, or operations-research techniques. Experience managing infrastructure across multiple cloud providers or geographically distributed environments and serving as a technical lead for cross-functional, business-critical initiatives. Demonstrated success improving infrastructure utilization while maintaining reliability and customer commitments. NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and dedicated people in the world working for us. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 140,000 USD - 224,250 USD for Level 3, and 168,000 USD - 270,250 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 2, 2026. 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.

We are looking for a Senior Software Engineer to help build NeMo Platform, NVIDIA’s product for developing, evaluating, deploying, and operating AI systems at scale. This role is for a senior engineer/architect for our Core team which owns and ships an open source plugin-based AI platform for running and optimizing Agents targeting multiple compute backends (local/docker, Kubernetes, Slurm, etc.). As AI systems become more autonomous and more deeply integrated into real workflows, teams need robust APIs and orchestration systems for running, monitoring, and optimizing Agents at scale. Increasingly, the users of these systems are themselves autonomous or semi-autonomous Agents. The NeMo Platform group is building a sophisticated agent execution framework to enable agents to automatically run hundreds of experiments in parallel to find the most efficient agent architectures for our customers. This is important product engineering research for making agents more sustainable. AI systems are not yet nearly as efficient as they can be, and systems like NeMo Platform will allow large scale AI consumers to automatically tune their agents to use fewer tokens and rely on more efficient models with better throughput. What you'll be doing: Working in a product research environment where we place big bets on where the future is heading, adapting in real time as we build alongside an industry that is constantly evolving with us. This means fast iteration, high ownership, pragmatic decisions, and performance-minded implementation under production constraints Designing an Agentic Execution system that are flexible enough to work in many environments (local, k8s, Slurm, on prem / air-gapped) Provide senior technical leadership through design reviews, code reviews, mentoring, and ownership of ambiguous cross-component problems Building and maintain our Core Platform APIs for running jobs, storing data, entities, secrets, and RBAC and Auth Extending our flexible Plugin Architecture that makes it easy for many teams and external customers to install new capabilities into our system Building in the open in our OSS repo, keeping up the high standards that the open source community demands Shipping code at the speed of light with an unlimited token budget using best in class agentic coding tools Improving reliability, observability, debuggability, and performance across NeMo Platform, SDKs, plugins, jobs, and developer workflows Building strong test coverage across unit, integration, E2E, Docker, and Kubernetes workflows What we need to see: BS, MS, or equivalent experience in Computer Science, Computer Engineering, or a related technical field 10+ years of professional software engineering experience building production systems Comfort working in a very fast and ambiguous environment Exceptional communication, both verbal and written. This includes the ability to produce and review high quality architectural RFCs, and to discuss them clearly with the right level of technical detail for the right people (Engineer, Product, Marketing, etc.) Strong system design skills, with a pragmatic flexibility and phenomenal instincts to invent robust systems quickly without over-complicating. Strong understanding of reliability, scalability, security, and performance tradeoffs in production infrastructure Experience with distributed systems, cloud-native services, containers, Kubernetes, and job orchestration Excellent Python engineering skills, including API design, typing, testing, debugging, performance analysis, and maintainable software design Experience designing SDKs, libraries, plugins, CLIs, or other developer-facing interfaces Ability to work independently, define technical scope, break down ambiguous problems, and drive work across team boundaries Ways to stand out from the crowd: Experience building, deploying, and iterating on production agentic AI systems at scale in Kubernetes Experience with sophisticated plugin architectures Strong ability to connect technical evaluation work to business outcomes, product quality, user experience, reliability, or operational efficiency Experience with enterprise AI systems where measurement, regression testing, observability, governance, and continuous improvement are required for production deployment Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 170,000 CAD - 220,000 CAD for Level 4, and 225,000 CAD - 275,000 CAD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 2, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.

We are looking for a Senior Software Engineer to help build NeMo Platform, NVIDIA’s product for developing, evaluating, deploying, and operating AI systems at scale. This role is for a senior engineer/architect for our Core team which owns and ships an open source plugin-based AI platform for running and optimizing Agents targeting multiple compute backends (local/docker, Kubernetes, Slurm, etc.). As AI systems become more autonomous and more deeply integrated into real workflows, teams need robust APIs and orchestration systems for running, monitoring, and optimizing Agents at scale. Increasingly, the users of these systems are themselves autonomous or semi-autonomous Agents. The NeMo Platform group is building a sophisticated agent execution framework to enable agents to automatically run hundreds of experiments in parallel to find the most efficient agent architectures for our customers. This is important product engineering research for making agents more sustainable. AI systems are not yet nearly as efficient as they can be, and systems like NeMo Platform will allow large scale AI consumers to automatically tune their agents to use fewer tokens and rely on more efficient models with better throughput. What you'll be doing: Working in a product research environment where we place big bets on where the future is heading, adapting in real time as we build alongside an industry that is constantly evolving with us. This means fast iteration, high ownership, pragmatic decisions, and performance-minded implementation under production constraints Designing an Agentic Execution system that are flexible enough to work in many environments (local, k8s, Slurm, on prem / air-gapped) Provide senior technical leadership through design reviews, code reviews, mentoring, and ownership of ambiguous cross-component problems Building and maintain our Core Platform APIs for running jobs, storing data, entities, secrets, and RBAC and Auth Extending our flexible Plugin Architecture that makes it easy for many teams and external customers to install new capabilities into our system Building in the open in our OSS repo, keeping up the high standards that the open source community demands Shipping code at the speed of light with an unlimited token budget using best in class agentic coding tools Improving reliability, observability, debuggability, and performance across NeMo Platform, SDKs, plugins, jobs, and developer workflows Building strong test coverage across unit, integration, E2E, Docker, and Kubernetes workflows What we need to see: BS, MS, or equivalent experience in Computer Science, Computer Engineering, or a related technical field 10+ years of professional software engineering experience building production systems Comfort working in a very fast and ambiguous environment Exceptional communication, both verbal and written. This includes the ability to produce and review high quality architectural RFCs, and to discuss them clearly with the right level of technical detail for the right people (Engineer, Product, Marketing, etc.) Strong system design skills, with a pragmatic flexibility and phenomenal instincts to invent robust systems quickly without over-complicating. Strong understanding of reliability, scalability, security, and performance tradeoffs in production infrastructure Experience with distributed systems, cloud-native services, containers, Kubernetes, and job orchestration Excellent Python engineering skills, including API design, typing, testing, debugging, performance analysis, and maintainable software design Experience designing SDKs, libraries, plugins, CLIs, or other developer-facing interfaces Ability to work independently, define technical scope, break down ambiguous problems, and drive work across team boundaries Ways to stand out from the crowd: Experience building, deploying, and iterating on production agentic AI systems at scale in Kubernetes Experience with sophisticated plugin architectures Strong ability to connect technical evaluation work to business outcomes, product quality, user experience, reliability, or operational efficiency Experience with enterprise AI systems where measurement, regression testing, observability, governance, and continuous improvement are required for production deployment Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 170,000 CAD - 220,000 CAD for Level 4, and 225,000 CAD - 275,000 CAD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 2, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.

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. Join a team that analyzes large-scale datacenter workloads on GPU-accelerated clusters. You will turn telemetry and workload data into clear findings and visuals. You will partner with OS, container, GPU, and systems engineers. When useful, you will apply machine learning and deep learning techniques for categorization and forecasting. These will be coordinated into tools the team actually uses. What you’ll be doing: Analyze large-scale workloads and infrastructure signals to find application and platform improvement opportunities. Work with high-dimensional data: spot trends, tie changes to known events, summarize conclusions, and communicate results to engineers and leadership. Partner with the team to clarify questions, scope analyses, and document methods so others can extend your work. Build and maintain practical visualizations and lightweight implementations (e.g. ML/DL for classification/prediction) inside existing software workflows. What we need to see: 5+ years analyzing complex datasets, debugging data issues, and communicating trends clearly. BS or MS in Engineering, Mathematics, Physics, Computer Science, or equivalent experience. Strong Python and JavaScript; Comfortable being responsible for an analysis end-to-end. Hands-on use of telemetry / observability stacks (e.g. Grafana, Elasticsearch, Splunk). Shown grasp of core ML concepts; quick learner; strong analytical and problem-solving skills. Collaboration and communication. Ways to stand out from the crowd: TensorFlow or PyTorch Linux and HPC / large-scale or performance-sensitive environments Experience visualizing high-dimensional problems Diligent, action-biased analysis style NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! NVIDIA also offers a comprehensive benefits package. We provide health care coverage, dental and vision, 401(K), including company matching and after tax contributions, Employee Stock Purchase Program (ESPP), Employee Assistance Program (EAP), company paid holidays, paid sick leave, vacation leave, professional time off, life and disability protection. 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. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 2, 2026. 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.

NVIDIA is looking for a Senior ASIC Verification Engineer to help verify our global IP! This position offers an opportunity to impact an array of products while collaborating with teams from design, architecture, verification, and integration. At NVIDIA, we have crafted a team of outstanding people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. In this position, you will partner with the design and architecture teams to help make the right implementation choices, craft and implement verification test plans, maintain regressions, close coverage and sign off design or both functional correctness and for meeting performance expectations. This position offers the opportunity to have a real impact on multiple product lines including consumer graphics, self-driving cars, HPC, cloud computing, and AI! What you'll be doing: Develop test plans, tests and verification infrastructure for verifying global IP across multiple products Define, develop, and automate flows and methodologies to efficiently build, deploy, and verify generated RTL Ensure code and functional coverage of all the RTL which you will verify Build verification components using SV/UVM methodology Driving coverage-based verification closure Collaborate with design teams across NVIDIA to find corner cases and resolve verification related issues What we need to see: BS/MS in Electrical or Computer Engineering (or equivalent experience) 5+ years of proven design verification experience Experience in pre-silicon verification (UVM, SystemVerilog), ASIC design/implementation flow, and design automation Programming and scripting experience in Perl or Python Excellent debugging and analytical skills Exposure to design and verification tools (dc_shell or equivalent synthesis tools, VCS or equivalent simulation tools, debug tools like Debussy, GDB) Strong communication and collaboration skills to interact within the team and across functional teams Ways to stand out from the crowd: Previous experience automating tasks in the design verification process Hands on experience in object-oriented programming Prior design or verification experience at the IP or block level Experience developing methodologies used by others Demonstrated ability to drive a project to completion NVIDIA is widely considered to be one of the technology world’s most desirable employers! We have some of the most forward-thinking and dedicated people in the world working for us. If you're creative and autonomous, we want to hear from you. #LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 2, 2026. 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.