Field Applications Engineer jobs at Intel

We are now looking for an experienced Embedded Field Applications Engineer! NVIDIA's deep learning platforms have a major impact to the industry and are referred to as best-in-class for industrial use cases. We are growing the team with passionate and creative people to help our customers in their endeavor for innovation. This Field Applications Engineering role is for an individual who is a proven specialist in embedded systems, embedded software and embedded application development, and who has shown leadership in supporting customers. We are looking for an outstanding FAE with a focus on embedded systems and AI. Your primary responsibilities will be to partner with sales and support the customer technical engagement for NVIDIA's Jetson platform. You will emphasize on your technical expertise to provide support for our embedded GPU AI products. Excellent communication and interpersonal skills and the ability to work independently are key success factors. What you'll be doing: Engage customers and develop a keen understanding of their system architectures, challenges, objectives, and technical needs - and help to define highly valued solutions that meet these needs Be the trusted advisor for our customers, help them with our Jetson SDK and edge AI inference supporting our sales partners and customers Work closely with the NVIDIA applications and engineering team to ensure customers are successful in developing their embedded systems, answer their questions directly, via email, and on the NVIDIA developer forum Provide technical and sales training to ecosystem and channel partners Establish trusted relationships and communication channels with internal teams What we need to see: BS or MS in Electrical Engineering or Computer Science or equivalent experience 8+ years of work-related experience in a high-tech electronics industry in an embedded design role or technical customer support role Linux, embedded SW and embedded application expertise C, C++, and Python coding Capable of working in a rapidly changing environment without losing focus Strong analytical and problem-solving skills Strong written and oral communications skills in English with the ability to effectively collaborate with management and engineering Ways to stand out from the crowd: NVIDIA GPU development experience Experience with gStreamer, ROS and/or OpenCV Deep Learning and/or AI experience Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 160,000 USD - 253,000 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until December 22, 2025.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.

We seek a Field Applications Engineer to become part of our focused and hardworking team. At NVIDIA, we drive the AI computing revolution by inventing innovative deep learning solutions that change industries globally. Joining us means playing a key role in rolling out our groundbreaking GPU products across various platforms, including data centers and edge computing. If you have strong enthusiasm for system architecture and experience collaborating with customers on technical topics, this opportunity allows you to contribute significantly. What you'll be doing: Be a technical specialist on GPU and networking products, directly supporting sales account managers to secure build wins. Actively establish and nurture technical relationships with engineers, management, and architects at key customer accounts. Identify customer architectures and key product requirements in the CSP/ODM AI market to successfully implement NVIDIA's solutions. Provide onsite support to solve hardware and software problems. Lead the product through its entire lifecycle, from the design-in phase to end-of-life, ensuring flawless execution and customer happiness. Develop technical solutions including hardware & software demos and example system builds. Offer technical and sales training to direct sales teams and channel partners. Establish strong communication channels and collaborative relationships with internal teams to ensure a positive customer experience. What we need to see: BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science (or equivalent experience). 3+ years of work-related experience in the high-tech electronics industry, particularly in system development or technical customer support roles. Capable of excelling in a dynamic, constantly evolving environment. Remarkable talent for effectively managing multiple initiatives and priorities. Expert analytical and problem-solving abilities. Strong time-management and organizational skills for coordinating complex projects. Excellent written and oral communication skills in English, with the ability to collaborate effectively with both management and engineering teams. Ways to stand out from the crowd: Experience with ARM and NVIDIA GPU development. Proficiency in C/C++ and Python programming. Knowledge of Embedded Linux Systems, APIs, and similar embedded OS. Experience working with OEMs in industrial, military, and ruggedized computing spaces. In-depth understanding of CPU architecture. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 108,000 USD - 178,250 USD for Level 2, and 132,000 USD - 207,000 USD for Level 3. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until December 26, 2025.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.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's an outstanding 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. As a Senior Technical Marketing Engineer for Datacenter Networking, you will join a dedicated team that is passionate about delivering outstanding developer and user experiences on NVIDIA's networking hardware and software products. This position in Santa Clara, CA, gives you the chance to collaborate with engineering, product, marketing and executive teams and contribute to the advancement of datacenter networking What you'll be doing: * Evaluate usability, performance, and developer experience across NVIDIA networking (Ethernet/InfiniBand, DPUs/SmartNICs, software). Identify gaps and influence roadmaps. * Build and run clear, repeatable benchmarks and create competitive analyses. * Craft and build demos that showcase innovative end-to-end use cases. * Roleplay as "customer 0" and provide feedback and solutions whenever necessary. * Collaborate with multi-functional partners on go-to-market planning and execution. * Engage with product management and engineering to drive and track the impacts of NVIDIA's complete portfolio on crucial application performance benchmarks. * Coordinate with internal PR resources and external outlets on the publication and promotion of technical marketing content. What we need to see: * We are looking for someone with a strong educational background in Computer Science or Engineering (BS/MS Degree) or equivalent experience in a Technical Marketing role. * At least 5 years of overall experience, with a minimum of 3 years in technical marketing or customer co-innovation working on data center networking products. * Hands-on with both N-S and E-W networking in real environments. * Solid understanding of scale-out network designs (e.g., leaf-spine) and capacity/availability trade-offs. * Familiarity with network collectives for AI workloads. Proficiency in C/C++, Golang, and Python AI/ML frameworks is preferred. * Experience with public and hybrid clouds in an Enterprise setting. Knowledge of deploying and automating network infrastructure in public/private clouds, with experience in Ansible/Terraform. * Help develop, set up, and maintain large storage clusters. This includes monitoring, logging, and alerting. Also, work with AI/ML workloads to track and analyze behavior in big clusters and workflows, which can be complex. * Excellent written and verbal interpersonal skills, including the ability to author original content (both written and presentations). * Lead and influence and work with an elite team of hardware and software engineers. Ways To Stand Out From The Crowd: * Hands‑on experience setting up and tuning HPC clusters with Slurm, Kubernetes, or other schedulers. * Experience with NVIDIA BlueField DPU and DOCA. * Exposure to high-speed fabrics (Ethernet or InfiniBand) and basic optics/cabling. * Familiarity with storage traffic patterns (e.g., NVMe-oF) and how they impact networks. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 3, and 144,000 USD - 230,000 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until October 26, 2025. 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.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's an outstanding 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. As a Senior Technical Marketing Engineer for Datacenter Networking, you will join a dedicated team that is passionate about delivering outstanding developer and user experiences on NVIDIA's networking hardware and software products. This position in Santa Clara, CA, gives you the chance to collaborate with engineering, product, marketing and executive teams and contribute to the advancement of datacenter networking What you'll be doing: Evaluate usability, performance, and developer experience across NVIDIA networking (Ethernet/InfiniBand, DPUs/SmartNICs, software). Identify gaps and influence roadmaps. Build and run clear, repeatable benchmarks and create competitive analyses. Craft and build demos that showcase innovative end-to-end use cases. Roleplay as “customer 0” and provide feedback and solutions whenever necessary. Collaborate with multi-functional partners on go-to-market planning and execution. Engage with product management and engineering to drive and track the impacts of NVIDIA's complete portfolio on crucial application performance benchmarks. Coordinate with internal PR resources and external outlets on the publication and promotion of technical marketing content. What we need to see: We are looking for someone with a strong educational background in Computer Science or Engineering (BS/MS Degree) or equivalent experience in a Technical Marketing role. At least 5 years of overall experience, with a minimum of 3 years in technical marketing or customer co-innovation working on data center networking products. Hands-on with both N-S and E-W networking in real environments. Solid understanding of scale-out network designs (e.g., leaf-spine) and capacity/availability trade-offs. Familiarity with network collectives for AI workloads. Proficiency in C/C++, Golang, and Python AI/ML frameworks is preferred. Experience with public and hybrid clouds in an Enterprise setting. Knowledge of deploying and automating network infrastructure in public/private clouds, with experience in Ansible/Terraform. Help develop, set up, and maintain large storage clusters. This includes monitoring, logging, and alerting. Also, work with AI/ML workloads to track and analyze behavior in big clusters and workflows, which can be complex. Excellent written and verbal interpersonal skills, including the ability to author original content (both written and presentations). Lead and influence and work with an elite team of hardware and software engineers. Ways To Stand Out From The Crowd: Hands‑on experience setting up and tuning HPC clusters with Slurm, Kubernetes, or other schedulers. Experience with NVIDIA BlueField DPU and DOCA. Exposure to high-speed fabrics (Ethernet or InfiniBand) and basic optics/cabling. Familiarity with storage traffic patterns (e.g., NVMe-oF) and how they impact networks. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 3, and 144,000 USD - 230,000 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until October 26, 2025.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.

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. The Generative AI for Gaming product team is looking for a world class senior technical marketing engineer to help bring groundbreaking AI NPC technologies to market. Our group supports the engineering teams, partner teams, and marketing teams by defining the roadmap, building the go to market strategy, and providing product feedback. By collaborating with cross-functional teams, this role will work with partners on demos, perform competitive analysis on alternative technologies, and provide key product feedback. Are you a developer who is passionate about AI and gaming? If so, join us! What you'll be doing: Design and build demos for key events, partner showcases, and feature evaluations. These assets will be used at trade shows, marketing videos, and partner marketing activations. Evaluate and provide developer feedback on early versions of technologies to help inform mid-cycle product decisions and re-alignments. Conduct alternative analysis on AI technologies that are used throughout the gaming industry. Build prototypes with new AI models and technologies as proofs of concept. Working closely with the cross-functional team to support go-to-market execution. Speak publicly at industry events and internal/external trainings. Be able to travel for events and customer visits. What we need to see: 12+ years of relevant work experience in an AI field (machine learning, NLP, robotics/planning). Bachelors in computer science, engineering or equivalent experience (technology background is preferred). Proficient in Python, Bash, Git, and development in both Windows & Linux environments. Proven experience building AI systems, including but not limited to: fine-tuning models, integrating multiple models, prompt engineering, and evaluation. Ability to delve into the technical details of a product and communicate opinions to both business and technical partners within the organization. Excellent communication skills: written, spoken, and visual. Ways to stand out from the crowd: Game development experience, ideally with Unreal/Unity. Full-stack development experience. Proficient in C++. Experience integrating gen AI technology into a gaming-related product or feature. Passionate gamer who knows the space! 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. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until November 8, 2025.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.

AI Factories, powered by NVIDIA accelerated computing, are driving the next evolution of artificial intelligence by combining high performance compute, networking, and full-stack software to power AI at scale. To help customers build these factories of the future, we are seeking a Senior Technical Marketing Engineer focused on scale-out architectures-covering our AI Factory narrative and bringing platform expertise in Ethernet, InfiniBand, and SuperPOD design and deployment. In this role, you will show how NVIDIA solutions deliver industry-leading inference and training performance and power efficiency while addressing the real challenges of ultra scale: connecting thousands to millions of GPUs across racks, clusters, and even between data centers. What you will be doing: You will be a subject matter expert-promoting and teaching large-scale customers about NVIDIA's purpose-built AI networking solutions for the AI Factory. This includes leading the narrative on NVIDIA SpectrumX Ethernet switching, Quantum-X InfiniBand switching, ConnectX NICs, Bluefield DPUs, and showing how NVIDIA platforms uniquely address AI factory scale-out challenges. You'll work with customers, CSPs, and analysts to tackle the realities of building AI factories at scale-connecting thousands of servers across clusters and racks at megawatt power levels-while also demonstrating the economics through TCO modeling. Like to design large networks? Solve complex problems? Be part of an amazing team building the world's most advanced computing platforms? Then this role is for you. Networking Expertise: Build and deliver content on NVIDIA's InfiniBand and Ethernet platforms, interconnect topologies, and scaling best practices. SuperPod Storytelling: Explain how NVIDIA SuperPod architectures deliver predictable performance and resilience in multi-rack deployments. TCO Modeling: Develop and present total cost of ownership (TCO) and ROI analyses, enabling our narrative “the more you buy, the more you make”. Scaling at Datacenter Level: Articulate challenges and solutions in high-power, high-density deployments, including cabling, power distribution, and thermal scaling. Customer & Analyst Engagement: Act as a trusted advisor for hyperscalers, CSPs, and enterprises building AI factories at datacenter scale. Market Analysis: Stay abreast of industry trends, competitive landscapes, and emerging technologies to inform strategic positioning and highlight NVIDIA's leadership in the market. What we need to see: BS/MS in Computer Engineering or Electrical Engineering related field or equivalent experience 7+ years in AI data center networking, technical marketing, or solutions architecture roles. Hands-on knowledge of Ethernet, InfiniBand, RoCE, NVLink interconnects, and large-scale cluster networking. Understanding of SuperPod architecture, AI datacenter scaling, and high-power deployment considerations. Experience with TCO/ROI analysis and ability to simplify cost models for exec-level decision makers. Exceptional ability to convey complex technical concepts to diverse audiences, including data center execs, engineers, and operators. NVIDIA is widely considered to be one of high technology's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Our goal is to craft an environment where you can do your life's best work. If you're creative, self-motivated, and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 160,000 USD - 253,000 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until October 5, 2025.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.

Modern data centers are transforming into AI factories, and NVIDIA accelerated computing is the engine of artificial intelligence. Our data center platforms integrate high performance compute, networking, and a full-stack software ecosystem to power AI at scale. We are looking for a Senior Technical Marketing Engineer focused on GPUs and scale-up architecture to join our growing accelerated computing product team. This role is pivotal in showcasing NVIDIA's GPU architecture, server-level platforms, and rack-scale innovations that maximize performance and efficiency for AI inference & training. What you'll be doing: In this role, you will serve as the technical voice for NVIDIA's GPU and rack-scale systems. This role bridges architecture and deployment, showing how GPUs, NVLink switching, and rack-level innovations like NVL72, power delivery, and liquid cooling come together to accelerate AI inference and training. You'll translate complex system design into compelling narratives that resonate with hyperscalers, OEMs, and system IT operators. GPU Deep Dives: Develop content that explains NVIDIA GPU architecture, features, and capabilities, highlighting their role in accelerating AI workloads. System Architecture: Demonstrate how NVL72, NVLink Switching, CPU/GPU co-design, and rack-level systems integrate to deliver breakthrough AI performance. Platform Readiness: Explain critical infrastructure technologies like power delivery/smoothing, liquid cooling, and thermal management to hyperscalers and system integrators. Technical Storytelling: Deliver technical blogs, whitepapers, and presentations that connect platform innovation to real-world customer benefits. Customer Engagement: Partner with hyperscalers, OEMs, and system operators to address design challenges and communicate ROI from adopting NVIDIA scale-up solutions. Market Analysis: Stay abreast of industry trends, competitive landscapes, and emerging technologies to inform strategic positioning and highlight NVIDIA's leadership in the market. What we need to see: BS/MS in Computer Engineering or Electrical Engineering related field or equivalent experience 7+ years in GPU, system architecture, technical marketing, solutions architecture roles in AI and data center domains. Deep Expertise in GPU architecture, accelerators, and system components (servers, racks, cooling, power) Familiarity with NVIDIA Grace Blackwell NVL72 platform and rack-level integration challenges. Exceptional ability to convey complex technical concepts to diverse audiences, including data center execs, engineers, and operators. NVIDIA is widely considered to be one of high technology's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Our goal is to craft an environment where you can do your life's best work. If you're creative, self-motivated, and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 160,000 USD - 253,000 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until October 5, 2025.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.

Modern data centers are transforming into AI factories, and NVIDIA accelerated computing is the engine of artificial intelligence. Our data center platforms integrate CPUs, GPUs, DPUs, networking, and a full-stack software ecosystem to power AI at scale. We are looking for a Senior Technical Marketing Engineer to join our growing accelerated computing product team. This role is pivotal in defining and articulating the technical foundation of NVIDIA's products, features, and advantages to enable other teams and ensure a consistent, high-impact go-to-market strategy. This role will focus on AI inference at scale, ensuring that customers and partners understand how to best leverage the potential of NVIDIA's accelerated computing solutions. You will collaborate closely with engineering, product teams, field teams, and ecosystem partners to develop compelling technical narratives, competitive positioning, and technical content that drives adoption. What You'll Be Doing: Develop Technical Positioning & Messaging - Translate NVIDIA's AI inference and accelerated computing technologies into clear, impactful messaging that resonates with hyperscale data centers and enterprise AI customers. Build Foundational Content - Develop whitepapers, technical blogs, solution briefs, presentations, explainer videos, and demos that highlight NVIDIA's AI inference capabilities. Engage with Engineering & Product Teams - Work closely with internal teams to deeply understand product features, roadmaps, and competitive differentiators. Conduct Competitive Analysis - Analyze competitors' hardware and software solutions, using data and customer feedback to inform NVIDIA's positioning. Support Sales & Partner Enablement - Develop training materials, sales enablement tools, and technical content to empower internal teams, partners, and customers. Lead Go-To-Market Execution - Partner with campaign marketing, field operations, and partner marketing to ensure seamless product launches and market adoption. Improve NVIDIA's AI Thought Leadership - Contribute to industry-firsts, customer success stories, analyst briefings, and high-visibility speaking engagements. What We Need to See: A BS Degree in Computer Science or Engineering related field with a Masters in Business Administration or equivalent experience in a Product Marketing role 7+ years of experience in product marketing, technical marketing, or customer-facing engineering roles. Must be passionate about AI/ML workloads at scale. Technical Expertise - Deep understanding of modern data center architectures, accelerated computing, distributed inference, deep learning frameworks (PyTorch, TensorFlow, JAX), and inference-specific frameworks & optimizations (Triton Inference Server, TensorRT-LLM, vLLM, SGLang). Market Awareness - Experience conducting technical competitive analysis and synthesizing key insights. Collaboration & Influence - Proven ability to work cross-functionally across engineering, product management, sales, and marketing teams. Strong Communication & Storytelling - Ability to translate sophisticated technical concepts into clear, compelling narratives for both technical and business audiences. Ways to Stand Out from the crowd: Experience working with hyperscale cloud providers or large-scale AI deployments. Hands-on experience with AI inferencing workflows using NVIDIA or open-source serving frameworks running on accelerated computing in the data center. Hands-on Technical Competence - Background in software development, cloud AI infrastructure, and technical writing is a plus. Demonstrated ability to engage with executive leadership and external partners. Published technical content or speaking experience at industry events. NVIDIA is widely considered to be one of high technology's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Our goal is to craft an environment where you can do your life's best work. If you're creative, self-motivated, and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 160,000 USD - 253,000 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 29, 2025.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.

WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: AMD's Partner Support Field Applications Engineering Organization is responsible for supporting our OEM and ODM partners as they define and develop new platforms based on AMD technology. We are looking for our next team member to support new product introduction and debug efforts with our global datacenter customers, focusing on solutions involving GPUs, CPUs, and associated diagnostic and development tools. THE PERSON: Does this sound like you? We'd love to talk! * Excellent problem-solving, time-management, prioritization, and organizational skills, able to lead complex problems, involving multi-disciplined, multi-functional teams and many priorities at once * A standout colleague with excellent collaborative skills, and ability to work independently or as part of a team * Outstanding oral and written communication skills and demonstrated success in building strong technical relationships (internal: Sales, Marketing, Engineering and external: OEM) * Attention to detail combined with outstanding planning and organizational skills KEY RESPONSIBILITIES: Main focus: At-scale debug activities with customers are a primary focus for this role. The scope of these activities will span the entire hardware and software stack, including deployments of GPUs and CPUs in datacenter environments. Responsibilities will include: * Reproducing complicated customer issues onsite at AMD. * Working with internal engineering teams to debug & root cause issues. * Developing, setting Up & analyzing experiments to collect data for guiding debug activities. * Setting up complicated test harnesses in Software & Hardware to collect low level debug logs. * Developing scaffolding software to assist in debug activities both Internally & Externally with customers. * Package workloads & customer test cases for internal debug teams to reproduce issues. * Drive internal debug activity by playing the role of issue coordinator when needed. * Customer presentations, being the trusted advisors to AMD's key OEM partner. PREFERRED EXPERIENCE: Proven experience with Server and/or GPU architecture, either integrating, debugging, and/or validating various system components. Server software environments include Operating systems (Windows, Linux), compilers, benchmarks, and targeted applications that may be used to validate server platforms. developing and debugging low level server-based applications, or validating HW components - CPU, GPU, Boards, Storage, etc. Additional Preferred Qualifications: * Experience with large-scale rollouts of datacenter equipment. * Networking knowledge -- TCP/IP, RDMA, RoCE, NICs, Switches, etc. * Familiarity with AI Models and PCIe Architecture * Proficient in server software ecosystem (ie: OS/Hypervisors, Compilers, Libraries, debug tools, development tools and validation workloads). * Knowledgeable in platform firmware features (BIOS, BMC, SMU). * Hands-on experience and strong expertise in server hardware ecosystem at the node, rack and datacenter level. ACADEMIC CREDENTIALS: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a similar field with proven relevant industry professional experience LOCATION: Bay Area, CA This role is not eligible for visa sponsorship. #LI-RF1 Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.

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. NVIDIA is building the foremost platform for Quantum Computing education to enable students to enter the workforce experienced in Quantum Computing, AI, and HPC! Students will learn how Accelerated Quantum Supercomputers will change the computing landscape through hands-on learning with GPUs and QPUs. In this role, you will help to build the future of Quantum Computing curriculum by engineering a platform that enables professors in multiple fields to integrate CUDA-Q into their existing courses. What you'll be doing: Building a platform for delivering educational resources to professors and students Integrating GPUs and QPUs into educational labs Working with leading universities enable the adoption of CUDA-Q into academic curriculum Collaborating across teams to advance Quantum Computing education to prepare the next generation of students to enter a Quantum-enabled workforce What we need to see: Strong communication skills and ability to work across teams Experience deploying educational content, jupyter notebooks, jupyterlab, or similar into production settings Programming experience in Python and/or C++ Strong understanding of containerization and workflow frameworks, such as Docker, Docker Compose, and Kubernetes A Bachelors degree or equivalent experience 5+ years work experience Ways to stand out from the crowd: Experience with cloud orchestration frameworks Experience developing educational content at a university or post-graduate level Background with CUDA and CUDA-Q Background with AI-assisted or personalized learning platforms Experience developing AI Agents and/or RAG workflows Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 160,000 USD - 253,000 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 29, 2025.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.

Are you looking for a unique opportunity to be a part of something great? Want to join a 17,000-member team that works on the technology that powers the world around us? Looking for an atmosphere of trust, empowerment, respect, diversity, and communication? How about an opportunity to own a piece of a multi-billion dollar (with a B!) global organization? We offer all that and more at Microchip Technology Inc. People come to work at Microchip because we help design the technology that runs the world. They stay because our culture supports their growth and stability. They are challenged and driven by an incredible array of products and solutions with unlimited career potential. Microchip's nationally-recognized Leadership Passage Programs support career growth where we proudly enroll over a thousand people annually. We take pride in our commitment to employee development, values-based decision making, and strong sense of community, driven by our Vision, Mission, and 11 Guiding Values; we affectionately refer to it as the Aggregate System and it's won us countless awards for diversity and workplace excellence. Our company is built by dedicated team players who love to challenge the status quo; we did not achieve record revenue and over 30 years of quarterly profitability without a great team dedicated to empowering innovation. People like you. Visit our careers page to see what exciting opportunities and company perks await! Job Description: Our Northwest Sales and Application team is seeking an FAE (Field Application Engineer). You will utilize your engineering design skills, techniques, and knowledge to decrease client development time, reduce overall system cost and improve the performance of our client's end products. You will also provide hardware, firmware, middleware, and development tools support for clients to accelerate their product development schedule. You will become a trusted technical advisor. This position will expose you to a wide variety of challenging applications spanning consumer, transportation, medical, military, and security markets. Microchip Technology offers meaningful opportunities, promoting fairness, integrity and employee empowerment, in a dynamic work environment. Overview Primarily customer engagement role to drive design wins to revenue at large accounts, by providing in-depth engineering support including creation of demos or proof of concepts to end customers. Some specific embedded expertise may be required. Visiting, training, and advising customers are also part of the job. Reports to FAE Manager based in San Jose, CA Main Functions include: Grow “Security opportunities” funnel by working closely with our Sales and Business teams. Act as the security trusted advisor for broad portfolio of Microchip Security products and Solutions Provide in-depth engineering support and assist customers with hardware and software development. Develop proof-of-concept solutions for helping our clients get familiar with Microchip products. Provides customers' inputs to Business Lines and influence security related roadmaps. Willingness to travel to receive training or to support other regions as needed. Will be member of a function expertise team. Requirements/Qualifications: Technical Skills 4-5 years of experience in embedded systems and outstanding technical skills Knowledge of hardware and software designs with microcontroller/Microprocessor (Microchip preferred) based Embedded Systems. Know-how of embedded security cryptography, PKI principles and certificate management Working knowledge of hardware-based security techniques (Hardware Security Modules, TrustZone, Secure Boot, etc.) into a robust hardware/software system design Working knowledge of IOT systems and cloud connectivity (Google, AWS, Azure) Experience in design or technical support is a plus. Experienced in embedded C programming language. Embedded Linux knowledge is a plus. BS in Electronic Engineering or equivalent Organizational skills Work effectively with Field Sales and Business Unit teams Ability to operate under minimal guidance and assume personal responsibility/accountability comfortably. Establish trust and credibility with customers, distributors, and regional team Effectively manage prioritization of many opportunities and customers Self-starting learner - proactively keeps up to date with new technologies and products Work effectively with other regions and divisional applications Proficient written and verbal skills in English Accomplished Presentation and Training skills Travel Time: 0% - 25% Physical Attributes: Hearing, Seeing, Talking, Works Alone, Works Around Others Physical Requirements: sitting, standing, walking, driving, flying Pay Range: We offer a total compensation package that ranks among the best in the industry. It consists of competitive base pay, restricted stock units, and quarterly bonus payments. In addition to these components, our package includes health benefits that begin day one, retirement savings plans, and an industry leading ESPP program with a 2 year look back feature. Find more information about all our benefits at the link below: Benefits of working at Microchip The annual base salary range for this position, which could be performed in California, is $84,000-$216,000.* *Range is dependent on numerous factors including job location, skills and experience. Microchip Technology Inc is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. For more information on applicable equal employment regulations, please refer to the Know Your Rights: Workplace Discrimination is Illegal Poster. To all recruitment agencies: Microchip Technology Inc. does not accept unsolicited agency resumes. Please do not forward resumes to our recruiting team or other Microchip employees. Microchip is not responsible for any fees related to unsolicited resumes.

The application window is expected to close on 12/1/25. Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. This position requires that you work in a hybrid model and commute to the San Francisco, CA office 2-3 days per week. **Meet the Team** MV Smart Cameras is reshaping the physical security industry by offering cloud-managed security cameras with machine learning and computer vision capabilities. This product and team is uniquely positioned to redefine a multibillion-dollar market, setting new standards for what cloud-managed physical security can achieve. The MV Product Management team brings together a diverse range of skills, from critical thinking and analysis to technical problem-solving, to develop the direction of our products. By prioritizing simplicity and innovation, we are accelerating the adoption of cloud-managed security solutions, including sophisticated edge AI and storage technologies. With agility and impact at the center of our approach, our small, focused teams empower individuals to make meaningful contributions. In this collaborative and dynamic environment, your work will have a direct and visible impact. **Your Impact** The MV Smart Cameras Product Management team is seeking a highly motivated and creative Technical Marketing Engineer (TME). As a TME, you will play a pivotal role by providing technical expertise and strategic feedback within the Product Management team. + Partner closely with engineering throughout the ideation, build, and launch of features and products. + Collaborate with customers, sales engineers, and partners to promote adoption and ensure successful customer experiences + Translate customer insights into tangible product improvements, and directly impacting the product roadmap + Take ownership of technical challenges, working multi-functionally to triage and resolve product issues in partnership with engineering and support teams. **Minimum Qualifications** + At least 2 years of experience in IT administration, technical marketing, sales engineering, technical support, or a related field + Strong background in networking, security, and cloud technologies. Experience with AWS, GCP or Azure is preferred + Practical experience with Linux systems administration and scripting (such as Python, Ruby, JavaScript, or similar languages) + Proficient in debugging sophisticated tasks and solving technical issues **Preferred Qualifications** + Proven experience in product development and execution within a technical domain; + Skilled in using SQL and other data analysis tools to support data-driven decision making + Familiarity with video streaming technologies and embedded Linux + Strong ability to explain sophisticated technical concepts to non-technical audiences; experience with technical writing is beneficial + Entrepreneurial mindset with a proactive, creative approach to solving technical challenges + Proven track record to collaborate effectively with diverse groups, including customer support, partners, sales, and systems engineering **Why Cisco?** At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. **Message to applicants applying to work in the U.S. and/or Canada:** The starting salary range posted for this position is $135,800.00 to $193,400.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: + 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees + 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco + Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees + Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) + 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next + Additional paid time away may be requested to deal with critical or emergency issues for family members + Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: + .75% of incentive target for each 1% of revenue attainment up to 50% of quota; + 1.5% of incentive target for each 1% of attainment between 50% and 75%; + 1% of incentive target for each 1% of attainment between 75% and 100%; and + Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $135,800.00 - $222,400.00 Non-Metro New York state & Washington state: $122,000.00 - $197,900.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements. Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.

The application window is expected to close on 12/1/25. Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. This position requires that you work in a hybrid model and commute to the San Francisco, CA office 2-3 days per week. Meet the Team MV Smart Cameras is reshaping the physical security industry by offering cloud-managed security cameras with machine learning and computer vision capabilities. This product and team is uniquely positioned to redefine a multibillion-dollar market, setting new standards for what cloud-managed physical security can achieve. The MV Product Management team brings together a diverse range of skills, from critical thinking and analysis to technical problem-solving, to develop the direction of our products. By prioritizing simplicity and innovation, we are accelerating the adoption of cloud-managed security solutions, including sophisticated edge AI and storage technologies. With agility and impact at the center of our approach, our small, focused teams empower individuals to make meaningful contributions. In this collaborative and dynamic environment, your work will have a direct and visible impact. Your Impact The MV Smart Cameras Product Management team is seeking a highly motivated and creative Technical Marketing Engineer (TME). As a TME, you will play a pivotal role by providing technical expertise and strategic feedback within the Product Management team. * Partner closely with engineering throughout the ideation, build, and launch of features and products. * Collaborate with customers, sales engineers, and partners to promote adoption and ensure successful customer experiences * Translate customer insights into tangible product improvements, and directly impacting the product roadmap * Take ownership of technical challenges, working multi-functionally to triage and resolve product issues in partnership with engineering and support teams. Minimum Qualifications * At least 2 years of experience in IT administration, technical marketing, sales engineering, technical support, or a related field * Strong background in networking, security, and cloud technologies. Experience with AWS, GCP or Azure is preferred * Practical experience with Linux systems administration and scripting (such as Python, Ruby, JavaScript, or similar languages) * Proficient in debugging sophisticated tasks and solving technical issues Preferred Qualifications * Proven experience in product development and execution within a technical domain; * Skilled in using SQL and other data analysis tools to support data-driven decision making * Familiarity with video streaming technologies and embedded Linux * Strong ability to explain sophisticated technical concepts to non-technical audiences; experience with technical writing is beneficial * Entrepreneurial mindset with a proactive, creative approach to solving technical challenges * Proven track record to collaborate effectively with diverse groups, including customer support, partners, sales, and systems engineering Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: The starting salary range posted for this position is $135,800.00 to $193,400.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: * 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees * 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco * Non-exempt employees receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees * Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) * 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next * Additional paid time away may be requested to deal with critical or emergency issues for family members * Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: * .75% of incentive target for each 1% of revenue attainment up to 50% of quota; * 1.5% of incentive target for each 1% of attainment between 50% and 75%; * 1% of incentive target for each 1% of attainment between 75% and 100%; and * Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $135,800.00 - $222,400.00 Non-Metro New York state & Washington state: $122,000.00 - $197,900.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. SENIOR GPU PRODUCT APPLICATION ENGINEER THE ROLE: Join AMD's Datacenter Product Application Engineering team supporting our GPU customers across Cloud, HPC, and OEM segments. In this customer-centric role, you will collaborate with external OEM partners, internal development and validation teams, and cross-functional stakeholders to bring next-generation server platforms to market powered by AMD's Instinct Accelerators-and ensure their successful deployment in customer data centers. THE PERSON: An ideal candidate should be familiar with PCIe standard, PCIe based hardware development, high speed IO signals, power and performance analysis, etc., and have good communication skill to engage with customers. He/she should be comfortable at understanding of both functional and electrical validation, performing quantitative analysis of issues, finding solutions. You are a hands-on technical problem solver who thrives at the intersection of hardware and software. You enjoy collaborating directly with customers and internal engineering teams to turn complex system challenges into actionable solutions. . You'll excel in this role if you: * Are energized by customer engagement and technical troubleshooting. * Have strong analytical instincts and a structured approach to problem solving. * Communicate clearly and proactively across technical and non-technical audiences. * Enjoy collaborating across hardware, firmware, and software disciplines. * Bring curiosity, creativity, and persistence to complex engineering challenges. KEY RESPONSIBILITIES: * Manage technical interaction with OEM/ODM Partners to enable deployment of AMD Instinct Accelerators in partner systems. * Work alongside firmware and upper software layers to co-optimize the whole AI software stack * Design and build tools for better collecting/presenting GPU performance details corelating to low-level hardware characteristics * Support Partners in the bring-up and validation of AMD Instinct GPUs in their system, guide partners on use of AMD tools, qualification test methods, and analysis of test results. * Lead the debug of Partner/Customer issues (firmware, HW, driver), working with a cross-functional team and driving the root cause investigation. * Work with Partners on the development of manufacturing/screen tests to ensure reliability at scale. * Understand Partner requirements and schedule, identify gaps in AMD offering and work with other stakeholders to close them. * Author design guideline, technical presentations, and training material. * Provide recommendation to improve customer experience with our SW and HW. PREFERRED EXPERIENCE: * Experience with PCIe based hardware developments * Experience with server platforms * Experience working on system level reliability and resiliency features * Familiarity with PCIe and relevant standards. * Familiarity with GPU architectures. * Strong knowledge in server architecture and interfaces, experience with system level debug. * Strong System Level debugging skills with hands-on experiences in system bring-up, HW debug, and performance optimizations on various system architectures. * Understanding and experience working with Enterprise Linux environment (Ubuntu, CentOS/RHEL and SLES). * Excellent oral and written communication skills to communicate technical results clearly and accurately. * Experience or knowledge of server firmware/BIOS settings, boot process, server monitoring and management SW. * Knowledge of Shell/BASH, C/C++, Python, or other framework is a plus. PREFERRED ACADEMIC CREDENTIALS: * BS/MS (Computer Science, Computer Engineering, Electrical Engineering, or related equivalent) LOCATION: Santa Clara, CA This role is not eligible for visa sponsorship. #LI-LM1 #LI-HYBRID Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.

WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: This highly technical role supports large-scale datacenter graphics hardware and software subsystem initiatives for cloud service providers and enterprise customers. You will work across complex virtualization platforms, high-performance networking environments, datacenter infrastructure, AI/Machine Learning pipelines, and system-level program execution to ensure customers can successfully deploy solutions powered by next-generation GPU and CPU accelerators. You will collaborate closely with customer engineering teams on system readiness, large-scale deployment, performance validation, and issue resolution. This position is ideal for someone who enjoys hands-on datacenter networking and virtualization work, solving complex distributed computing challenges, and driving successful customer adoption of cutting-edge accelerator technologies. The environment is fast-paced, highly cross-functional, and deeply technical. THE PERSON: You bring deep expertise in datacenter virtualization, distributed systems, and ideally GPU-accelerated compute. You are analytical, detail-oriented, and operate with a strong sense of ownership and urgency. You excel at troubleshooting across hardware, software, virtualization, and networking stacks. You communicate complex concepts with clarity, build strong relationships with customers and stakeholders, and thrive in collaborative engineering environments. You are proactive, adaptable, and driven to deliver high-impact solutions. KEY RESPONSIBILITIES: * Design, optimize, and troubleshoot virtualization solutions for high-performance datacenter GPU, CPU, and platform environments. * Support customers, partners, and internal teams on virtualization topics for AI/ML workloads. * Work with virtualization technologies across multiple vendors including Kubernetes, VMware, Citrix, KVM, Microsoft Hyper-V, and others. * Build and configure datacenter networking environments for customer testing, validation, and deployment. * Qualify and assess new virtualization capabilities to ensure alignment with customer and product requirements. * Provide mentorship and technical guidance to junior engineering staff. * Partner with development teams to identify and resolve hardware/software issues from early bring-up through end-of-life. * Document and escalate technical issues following established procedures. * Collaborate with program managers to maintain schedules, track action items, and ensure deliverables are met. * Provide clear project status updates to internal leadership and customer stakeholders. * Build a deep understanding of customer goals and deliver impactful technical guidance and solutions. * Translate customer feedback into actionable recommendations for internal engineering teams. * Travel up to 20% for customer deployments, onsite debugging, technical reviews, and engineering collaborations. PREFERRED EXPERIENCE: * Datacenter customer support in virtualization-focused environments. * Virtual environments: VMware, Citrix, KVM, Microsoft Hyper-V, and virtual machine configuration/management. * Data storage, protection, deduplication, and storage-related network optimization, especially with Weka, DDN, and VAST products. * Working in or with deployment services organizations and tools such as Salesforce, JIRA, and Confluence. * Linux installation, configuration, debugging, and performance tuning. * Debugging, root-cause analysis, and system-level problem solving. * Site Reliability Engineering concepts and best practices. * Server architecture, remote management, network topologies, and compute subsystem operations. * Datacenter GPU software stacks such as ROCm or CUDA. * High-performance networks for HPC and AI including RDMA/RoCE and InfiniBand. * AI/ML workloads, frameworks, and models. * Strong written and verbal communication skills for conveying complex technical concepts. * Ability to operate independently, manage multiple priorities, and maintain strong organizational discipline. ACADEMIC CREDENTIALS: Bachelor's or Master's degree in Engineering, Computer Science, or a related field preferred. CERTIFICATIONS: Certifications preferred, including those related to Kubernetes, VMware, Citrix, Red Hat, KVM, Hyper-V, and other Networking, Virtualization, or Data Storage domains. LOCATION: Primary locations include Austin, TX, Santa Clara, CA This role is not eligible for visa sponsorship #LI-TL1 #REMOTE Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.

The application window is expected to close on: 01/30/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. **Meet the Team** The Transceiver Modules Group Business Unit handles Cisco's pluggable optic modules that enable customers to connect switches, routers, and servers with high-speed fiber optics. The Product Management team includes Product Managers and Technical Marketing Engineers (TMEs) and covers a broad range of optical technologies, customer applications, and market segments. The TMEs support the team's business goals by supporting sales, fostering new technology, and performing investigations and demos. We value creativity and collaboration. Sometimes the wild ideas turn out to be the best ones! You'll also collaborate with the product managers, TMEs, and engineers in our BU and other Cisco BUs. **Your Impact** In this role, you will craft and implement validation test plans for Cisco's optics based on AI customer requirements. You will prepare technical content to support Product Requirement Documents and specifications for new products for AI applications. You will collaborate with technology and Go-To-Market partners for interoperability testing and system functional validation, and respond to field inquiries related to optical transceivers. Additionally, you will contribute to forward-looking programs, roadmaps and collaborate on content for internal Concept Commits and Execution Commits, focusing on customers, configurations, and competitive industry information. You're a problem solver who embraces opportunities to step outside your comfort zone. You are comfortable solving pluggable optics in switches and routers, even in front of customers. You know your way around a fiber optics lab with high-speed scopes and optical spectrum analyzers. You know that machines are logical and people can be more nuanced. **Minimum Qualifications** + Bachelors + 8 years of experience and/or Masters + 6 years of related experience or PhD with 3+ years, preferably combined with a degree in Electrical Engineering or a physical science or related. + Experience in Technical Marketing, Field Application Engineering, or related. + Knowledge of standards related to pluggable optical transceivers, including optical PMDs (e.g. IEEE 802.3xx, optical MSAs), pluggable form factor MSAs (SFF, QSFP-DD, CMIS, etc.), and IEEE Attachment Unit Interfaces (AUIs). **Preferred Qualifications** + Knowledge of customer optical infrastructure requirements in AI datacenter networks. + Knowledge of or prior experience with relevant networking technologies, and an understanding of Cisco's switching and routing portfolio. + Hands on skills for interoperability testing and validation activities in the lab (for example: validating optical modules on switches and routers). **Why Cisco?** At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. **Message to applicants applying to work in the U.S. and/or Canada:** The starting salary range posted for this position is $168,800.00 to $241,200.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: + 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees + 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco + Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees + Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) + 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next + Additional paid time away may be requested to deal with critical or emergency issues for family members + Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: + .75% of incentive target for each 1% of revenue attainment up to 50% of quota; + 1.5% of incentive target for each 1% of attainment between 50% and 75%; + 1% of incentive target for each 1% of attainment between 75% and 100%; and + Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $168,800.00 - $277,400.00 Non-Metro New York state & Washington state: $148,800.00 - $248,200.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements. Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.

The application window is expected to close on: 01/30/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. Meet the Team The Transceiver Modules Group Business Unit handles Cisco's pluggable optic modules that enable customers to connect switches, routers, and servers with high-speed fiber optics. The Product Management team includes Product Managers and Technical Marketing Engineers (TMEs) and covers a broad range of optical technologies, customer applications, and market segments. The TMEs support the team's business goals by supporting sales, fostering new technology, and performing investigations and demos. We value creativity and collaboration. Sometimes the wild ideas turn out to be the best ones! You'll also collaborate with the product managers, TMEs, and engineers in our BU and other Cisco BUs. Your Impact In this role, you will craft and implement validation test plans for Cisco's optics based on AI customer requirements. You will prepare technical content to support Product Requirement Documents and specifications for new products for AI applications. You will collaborate with technology and Go-To-Market partners for interoperability testing and system functional validation, and respond to field inquiries related to optical transceivers. Additionally, you will contribute to forward-looking programs, roadmaps and collaborate on content for internal Concept Commits and Execution Commits, focusing on customers, configurations, and competitive industry information. You're a problem solver who embraces opportunities to step outside your comfort zone. You are comfortable solving pluggable optics in switches and routers, even in front of customers. You know your way around a fiber optics lab with high-speed scopes and optical spectrum analyzers. You know that machines are logical and people can be more nuanced. Minimum Qualifications * Bachelors + 8 years of experience and/or Masters + 6 years of related experience or PhD with 3+ years, preferably combined with a degree in Electrical Engineering or a physical science or related. * Experience in Technical Marketing, Field Application Engineering, or related. * Knowledge of standards related to pluggable optical transceivers, including optical PMDs (e.g. IEEE 802.3xx, optical MSAs), pluggable form factor MSAs (SFF, QSFP-DD, CMIS, etc.), and IEEE Attachment Unit Interfaces (AUIs). Preferred Qualifications * Knowledge of customer optical infrastructure requirements in AI datacenter networks. * Knowledge of or prior experience with relevant networking technologies, and an understanding of Cisco's switching and routing portfolio. * Hands on skills for interoperability testing and validation activities in the lab (for example: validating optical modules on switches and routers). Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: The starting salary range posted for this position is $168,800.00 to $241,200.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: * 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees * 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco * Non-exempt employees receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees * Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) * 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next * Additional paid time away may be requested to deal with critical or emergency issues for family members * Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: * .75% of incentive target for each 1% of revenue attainment up to 50% of quota; * 1.5% of incentive target for each 1% of attainment between 50% and 75%; * 1% of incentive target for each 1% of attainment between 75% and 100%; and * Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $168,800.00 - $277,400.00 Non-Metro New York state & Washington state: $148,800.00 - $248,200.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: We are looking for an adaptive, self-motivated formal verification engineer to join our growing team. As a key contributor, you will be part of a highly collaborative team to drive and improve AMD's abilities to deliver the highest quality, industry-leading technologies to market. Specifically, the Formal Verification Team is an integral part of AMD's Cores Development Team, responsible for the development of the next generation processor cores. This team embraces innovation to improve time to market while beating performance, power and quality expectations. THE PERSON: You are a team player who has excellent communication skills and experience collaborating with other engineers located in different sites. You have strong analytical and problem-solving skills and are willing to learn and ready to take on problems. KEY RESPONSIBILITIES: Apply Advanced Formal Verification Techniques to AMDs cutting edge design for achieving Full Proofs. Maintain the best-in-class formal verification infrastructure to improve formal verification productivity. Develop technical relationship with broader AMD Design community and peers. Drive cross-department innovation and collaboration inside AMD. Be part of the R&D group for emerging formal verification domains like security, safety, low power, architecture level formal verification, etc. PREFERRED EXPERIENCE: ASIC design, verification, or related work experience in Formal Verification. Verification skills: Formal verification, Assertion based verification, FPV and/or DPV. Complexity Analysis, Design Abstraction & Formal Coverage. Design debug, Deep bug hunting. Formal test planning, Formal tools - Jasper and/or VC-formal. System Verilog, Verilog or VHDL, Scripting (TCL/Python) skills required. Design knowledge either or all domains of CPU, GPU, Bus/Noc/Interconnect, Memory Controllers, Cache preferred. ACADEMIC CREDENTIALS: BS in Computer Engineering, Computer Science, Electrical Engineering or other related fields with extensive work experience, and/or MS / PhD with some work experience. LOCATION: Santa Clara, CA #LI-MF2 #LI-HYBRID Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.

The Applied Machine Learning group is responsible for innovation and development of end-to-end AI solutions, technology proof of concepts, and IP development of current and future ML workloads for Intel architecture and silicon serving consumer and corporate business requirements. In this position, you will be responsible for research, modeling, prototyping, productizing of ML techniques, generating data insights and optimizations for Intel platforms. Responsibilities include but are not limited to: + Builds machine learning based products/solutions, which provide descriptive, diagnostic, predictive, or prescriptive models based on data.Uses or develops machine learning algorithms, such as supervised and unsupervised learning, deep learning, reinforcement learning, generative AI, large language model and others, to solve applied problems in various disciplines such as Data Analytics, Computer Vision, Natural Language Processing, Recommendation System, Graph Neural Network, Robotics, etc. + Interacts with users to define requirements for breakthrough product/solutions. In either research environments or specific product environments, utilizes current programming methodologies to translate machine learning models and data processing methods into software. + Completes programming, testing, debugging, documentation and/or deployment of the solution/products. + Engineers big data computing frameworks, data modeling and other relevant software tools.You will play a key technical role for end-2-end machine learning and deep learning platform development based on various frameworks and hardware (such as CPU, GPU, accelerators). You will also be responsible for developing AI ML solutions and methodologies to bring the best performance, accuracy, efficiency, and ease-of-use to customers by working with internal and external partners. The job scope may include but not limited to: + End-2-end ML and DL platform component innovation and feature development in data ingestion, feature engineering, distributed training via data and model parallelization, hyper-parameter optimization, neural architecture search, model compression, quantization, distillation, and model serving; + Algorithm and model development of advanced technologies in computer vision, natural language processing, large language model, recommendation, graph analytics, reinforcement learning, and other domains; + Machine learning framework and workload performance profiling, optimization, insights generation for benchmark such as MLPerf as well as real-world customer use cases; + Software and tools development in python, C++, and other languages as required. Top candidates will exhibit the following behavioral traits: + Excellent written and oral communication skills. + Be able to clearly communicate technical details and concept. **Qualifications:** You must possess the below minimum qualifications 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. Experience listed below would be obtained through a combination of your degree, research and or relevant previous job and or internship experiences. **Minimum Qualifications:** + Master degree or Ph.D in Computer Engineering, Computer Science, Data Science, Software Engineering, Electronic Engineering, Physics, Mathematics, Aerospace engineering, applied mathematics, mechanical engineering, or related technical disciplines. + 6+ months experience in deep learning foundational frameworks such as PyTorch, TensorFlow on CPU, GPU, or AI accelerators. + 6+ months experience in GenAI frameworks such as transformers, PEFT, diffusers, TGI, TEI, vLLM or SGLang. **You will be stand out from other candidates (preferred qualifications):** + GenAI end-2-end workflow development and deployment for model serving, RAG, and agentic system. + Inference optimization for deployment. + Patents, publications, or technical reports on GenAI innovation. **Benefits at Intel** Our total rewards package goes above and beyond just a paycheck. Whether you're looking to build your career, improve your health, or protect your wealth, we offer generous benefits to help you achieve your goals. Go to Intel Benefits | Intel Careers (*********************************** for details of benefits available to you. Intel reserves the right to modify, change or discontinue benefit plans at any time in its sole discretion. **Job Type:** Experienced Hire **Shift:** Shift 1 (United States of America) **Primary Location:** US, California, Santa Clara **Additional Locations:** US, California, Folsom, US, Oregon, Hillsboro, US, Texas, Austin **Business group:** As a member of the Chief Technology Office, Artificial Intelligence, and Network and Edge Group (CTO AI NEX), you will be committed to strategically penetrating the AI market by delivering disruptive and transformative solutions. Your focus will be on leveraging technology innovation and incubation to drive commercial success, ensuring that advancements create significant value. The team is dedicated to driving the software-defined transformation of the world's networks profitably, setting new standards for efficiency and connectivity. Through these priorities, you aim to lead the way in technological evolution and redefine the future of global networks. **Posting Statement:** 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. **Position of Trust** N/A **Benefits:** We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here: ********************************************************************************** Annual Salary Range for jobs which could be performed in the US: $133,410.00-237,310.00 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 Role** This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.