Software Certification Engineers Jobs

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We’re looking for a Field Application Engineer who’s wired for AI/ML, fluent in real-world problem-solving, and excited to build with the people actually using what we make. You will collaborate closely with the sales team and enterprise customers, leveraging your deep technical knowledge in AI to drive the adoption of our products and solutions. This is a customer-facing role that requires both technical expertise and excellent communication skills to convey complex technical concepts to non-technical stakeholders. This role is hybrid, based out of Tokyo, Japan. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. This role is hybrid, based out of Tokyo, Japan. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are You’ve lived in the AI/ML trenches, whether as a field engineer, a solutions architect, or the one tapped in when things needed to “just work.” You speak both machine and human. Whether it’s a researcher or a skeptical executive, you know how t

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Container runtimes were designed for general-purpose software workloads. AI inference is not a general-purpose workload. Running large models at production scale exposes cracks in every layer of the container stack: runtimes unaware of GPU memory constraints, images that take minutes to pull when a model needs to scale to thousands of replicas, and isolation mechanisms that weren’t designed for the multi-tenant serving environments that production AI requires. The tools the industry has relied on for a decade weren’t built for this, and patching around those limitations at higher layers only goes so far. Baseten owns the entire pipeline, from the moment a developer pushes a model to the moment a request gets a response. That vertical ownership means we can fix these problems at the root. The Runtime Fabric team is doing exactly that: purpose-building the container runtime and storage layers for AI inference workloads, led by some of the world’s top containerd maintainers. As Engineering Manager for Storage Products on the Runtime Fabric team, you will lead the engineers who build and run the storage products behind that stack: the Baseten Delivery Network (BDN), which sits in the cold start path of every model on the platform, the snapshotters and filesystems that expose model weights and container images to a running container, and the storage that model deployment and training need next. The team is advancing

About the Team OpenAI’s Client Platform Engineering team builds and operates the platforms that make employee devices secure, reliable, and easy to use. Our work spans device posture and trust, onboarding, application delivery, operating-system updates, fleet telemetry, and employee-facing remediation. We partner with Security, IT, Research, Applied, and specialized engineering teams to reduce friction while protecting OpenAI’s systems and data. About the Role As a Client Platform Engineer , You will build and own agentic solutions that automate OAI fleet operations and reduce employee friction, with measurable outcomes and reliability. You will develop first-party software, integrate commercial and open-source tools, and own changes from design and testing through deployment and production operations. Your work will improve security, reliability, and the employee experience. We’re looking for people who are passionate about automation, endpoint security, and building scalable solutions that improve employee experience. You should have deep experience securing and managing Linux fleets at scale, with strong software engineering skills to automate security controls and fleet operations across environments with different compliance requirements. Your problem-solving mindset and attention to detail will be key to success in this role. In this role, you will: Build the platforms that help employees do their best work on devices they can trust. Own the design, development, deployment, and operation of secure Linux endpoint management systems across environments with different compliance requirements. Create magical employee experiences by building agentic workflows with OpenAI products and models that use fleet telemetry to anticipate issues, guide remediation, and design friction out of everyday work. Make new hires productive from day one, using OpenAI products to simplify device setup, software delivery, and onboarding support. Build secure, reliable workflows with sc

Become a part of our caring community Humana is committed to helping people achieve their best health by delivering innovative technology solutions that power exceptional member, provider, and associate experiences. The Lead, Portfolio Management – Quality Engineering Business Operations plays a critical role in enabling the operational health, planning and financial discipline, and strategic execution of the Enterprise Software Quality Engineering Center of Excellence (COE). This role supports portfolio operations across financial management, vendor governance, resource and capacity planning, operational intake, executive reporting, communications, associate engagement, and transformation coordination. The Lead serves as a key operational partner to Quality Engineering leadership and works across Enterprise Technology, Finance, Human Resources, Procurement, Enterprise Portfolio Management, and segment teams to improve transparency, execution discipline, and organizational effectiveness in this fast paced evolving environment. This role also helps drive the onboarding and integration of resources transitioning from business segments into the Quality Engineering COEs, ensuring alignment to the organizational operating model, planning processes, and enterprise priorities. The ideal candidate will possess deep expertise in portfolio management, financial governance, business operations, and executive communications, with a proven ability to drive strategic initiatives, influence decision-making, successfully execute priorities across a complex, highly matrixed organization and deliver results across diverse stakeholder groups. Key Responsibilities : Agile Portfolio Management & Governance Lead Agile portfolio operations for the Enterprise So

Become a part of our caring community Humana is committed to helping people achieve their best health by delivering innovative technology solutions that power exceptional member, provider, and associate experiences. The Lead, Portfolio Management – Quality Engineering Business Operations plays a critical role in enabling the operational health, planning and financial discipline, and strategic execution of the Enterprise Software Quality Engineering Center of Excellence (COE). This role supports portfolio operations across financial management, vendor governance, resource and capacity planning, operational intake, executive reporting, communications, associate engagement, and transformation coordination. The Lead serves as a key operational partner to Quality Engineering leadership and works across Enterprise Technology, Finance, Human Resources, Procurement, Enterprise Portfolio Management, and segment teams to improve transparency, execution discipline, and organizational effectiveness in this fast-paced evolving environment. This role also helps drive the onboarding and integration of resources transitioning from business segments into the Quality Engineering COEs, ensuring alignment to the organizational operating model, planning processes, and enterprise priorities. The ideal candidate will possess deep expertise in portfolio management, financial governance, business operations, and executive communications, with a proven ability to drive strategic initiatives, influence decision-making, successfully execute priorities across a complex, highly matrixed organization and deliver results across diverse stakeholder groups. Key Responsibilities Portfolio Operations and Governance <span style="color:#00

Citi's Investor Services Technology group is seeking a strategic and technically accomplished Services Pricing Studio Technology Lead the design and delivery of a transformational pricing platform that powers how Citi prices, structures, and wins Investor Services mandates globally. The Pricing Studio will serve as the definitive tool for Sales, Product, and Finance teams — enabling dynamic fee modelling, scenario analysis, competitive benchmarking, and deal approval workflows. You will lead a focused engineering team and work in close partnership with Investor Services business leadership, Finance, and Data teams to build a platform that directly influences Citi's revenue growth and competitive positioning. This role demands a rare combination of pricing domain expertise, data engineering depth, AI driven engineering acceleration and the ability to translate complex commercial logic into elegant, scalable software. Responsibilities: Pricing Studio Platform Design and deliver the Pricing Studio as a unified, self-service platform for fee modelling, deal structuring, and pricing approval — supporting all Investor Services products including Fund Admin, Custody, and Securities Finance. Dynamic Pricing Engine Architect a configurable, rules-driven pricing engine capable of modelling complex fee structures, volume discounts, bundled pricing, and multi-product deal economics — with real-time scenario comparison and profitability analysis. Deal Approval Workflow Implement structured deal approval and governance workflows — integrating pricing decisions with Finance sign-off, risk thresholds, and regulatory guardrails to ensure every deal is commercially sound and compliant. Stakeholder Partnership Act as the primary technology partner for Sales, Product, Finance, and senior busi

Controls Matlab & Simulink Engineer (Associate, Mid-Level, or Lead) Company: The Boeing Company Boeing Defense, Space and Security (BDS) is looking for an Associate, Mid-Level, or Lead Controls Matlab & Simulink Engineer (Level 2, 3, or 4) to join our exclusive team at the Starfire Optical Range on Kirtland AFB in Albuquerque, New Mexico. We are seeking a highly skilled individual with experience in Controls and Matlab/Simulink. This role will support the hardware, firmware, and software development of electro-optical systems. This is a unique opportunity to contribute to advancements in technology using cutting-edge equipment at a historically significant site. This position supports the R&D mission of the Air Force Research Laboratory Optics Division in their advancement of Space Domain Awareness capabilities. The site houses telescope research facilities ranging in size from 0.5m up to 3.5m with advanced optical systems. You will work as part of a multidisciplinary team supporting the supporting the development, optimization, and maintenance of control solutions. Benefits of working at Starfire Optical Range: Your contributions will directly impact the advancement of Space Domain Awareness capabilities, a critical mission for our national security You’ll have the opportunity to work with world-class telescopes and advanced optical systems You’ll assume ownership for the architecture, development, and long-term health of a key application You’ll be part of a supportive enthusiastic team of experts in various fields We are committed to the professional development of our team members and provide opportunities for learning and advancement </b

Computer Systems Engineer – Space Payload Emulators – (Experienced or Lead) Company: The Boeing Company Boeing Defense, Space, & Security (BDS) is seeking Computer Systems Engineer – Space Payload Emulators to join the team located in El Segundo, California . As a Computer Systems Engineer , you will support the development and integration of space payload emulators in El Segundo, CA. In support of Boeing Defense Systems next-generation space programs, this role focuses on hands-on hardware/software development for embedded systems (Xilinx SoC/FPGA) and front-end UI/UX control interfaces. This position is tailored for an engineer who thrives in a hands-on lab environment , working side-by-side with multidisciplinary teams (hardware, firmware, software, and test engineers) to bring up hardware, integrate software/logic, and build intuitive emulator interfaces. Position Responsibilities: Embedded Software & FPGA Platform Integration Develop, configure, and maintain embedded software and firmware on Xilinx SoC platforms (Zynq UltraScale&#43;, Versal). Implement and debug Processing System to Programmable Logic (PS/PL) interfaces, AXI interconnects, and memory maps. Develop and validate Board Support Packages (BSP), PetaLinux/embedded Linux distributions, device drivers, and low-level communication interfaces (PCIe, Ethernet, SPI, I2C, UART). Lead hands-on board bring-up, hardware/software integration, and system-level debugging in a lab environment using oscilloscopes, logic analyzers, and protocol analyzers. Front-End GUI & Operator Interface Development Design and implement responsive, reliable front-end graphical user interfa

Comms & Sensor Systems Engineer/Scientist Company: The Boeing Company Boeing Defense, Space and Security (BDS), Phantom Works is seeking a Comms & Sensor Systems Engineer/Scientist to join the Phantom Works Special Technology Integration team in Mesa, AZ . The successful candidate should have a working knowledge of electromagnetic systems, components, and applied physics; have significant knowledge and experience with implementing real-time embedded hardware, firmware, and software; have strong analytical skills, knowledge, and proficiency with physical modeling and simulation tools; and knowledge of advanced math and system modeling principles as applied to aerospace and electrophysical analysis. Position Responsibilities: Interpret highly dynamic or uncertain requirements to develop flexible embedded hardware and software systems within aggressive program schedules and budgets Remain application and product focused while simultaneously executing multiple technical aspects of vertically integrated designs Balance systems/software engineering best practices with cost, schedule, and system performance requirements Apply systems-level thinking and agile design practices to advance embedded system architectures Perform control system logic/algorithm, hardware, and software development tasks Provide end-to-end systems integration, test, and field support Work under experienced electrophysics engineer/scientists, software, and hardware engineers in a fast-paced, dynamic environment Take ownership of tasking from start to finish and demonstrate consistent initiative with ambiguous or unclear assignments Mainta

NVIDIA’s Test Design Engineering (TDE) group designs, develops, validates, and deploys production test solutions for our networking portfolio, including network interface cards (NICs), SmartNICs and DPUs, NVLink systems, and Ethernet switches. Our teams in Israel and Vietnam support testing at contract manufacturer (CM) production sites worldwide. In this Santa Clara-based role, you will connect TDE with NVIDIA’s engineering and operations teams. You will help shape test strategies, coordinate technical decisions, and bring shared software and test capabilities into networking production testing. Your experience with production testing and systems such as servers, PC reference validation platforms (RVPs), and other multi-component hardware will help teams develop test solutions that meet both engineering requirements and manufacturing needs. What you’ll be doing: Partner with Santa Clara test engineering teams to develop production tests for platforms that combine networking ASICs, microcontrollers (MCUs), and other components. Guide test architecture, coverage, and failure diagnosis for complex hardware platforms, drawing on your experience developing and deploying production tests. Work with security teams to incorporate security requirements into test methods and workflows. Coordinate technical decisions, priorities, and dependencies across teams so TDE’s roadmap stays aligned with GPU engineering and platform development. Collaborate with CPU and GPU test diagnostics teams to reuse software, components, and test flows, with a focus on shared capabilities across L10 and L11 system test levels. Participate in new platform projects from the planning stage, bringing TDE’s requirements and expertise i

Job Title Product Manager, Upstream Marketing – Advanced Imaging (Plymouth, MN / Bedford, MA) Job Description Product Manager, Upstream Marketing – Advanced Imaging (Plymouth, MN / Bedford, MA) Drive upstream marketing for sustaining and lifecycle programs for Advanced Imaging portfolio (hardware, software, and catheter), and support execution of selected next generation programs, by representing the voice of the customer and partnering with Sr. Product Managers, Engineering, Regulatory, and Quality to add business and customer value in procedures for coronary artery disease. Your role: Manage product lifecycle changes across the sustaining portfolio, including component obsolescence, cost-reduction initiatives, corrective and preventive actions (CAPA), and incremental product improvements or regional updates. Monitor portfolio economics and prioritize actions that maintain the performance, reliability, and clinical value of HyperVue Advanced Imaging solutions. Manage the software sustaining backlog and release roadmap for Advanced Imaging on the HyperVue platform, in alignment with Sr. Product Manager priorities. Coordinate software releases addressing defects, cybersecurity updates, usability improvements, and other needs associated with released product. Support execution of selected next-generation programs by contributing customer, market, and competitive insights to product line strategy, technology roadmaps, and product requirements. Partner with Senior Product Managers and cross-functional teams to evaluate trade-offs, maintain alignment with portfolio priorities, and advance defined program deliverables. You're the right fit if: You’ve acquired 2&#43; years of related experience with a bachelor’s degree in business, marketing, engineering, or a relate

NVIDIA's deep learning platforms are at the forefront of innovation, profoundly impacting various fields and widely adopted by leading academic institutions, startups, and major Internet companies globally. We're seeking an accomplished and highly skilled Technical Program Manager (TPM) to join our NVIDIA DGX Cloud team. This is a great opportunity for a passionate, motivated, and creative individual to deliver outstanding value to our DGX Cloud customers! We are specifically looking for a TPM with extensive experience in CSP/NCP cloud environments, on-prem infrastructure bring-up, and hardware automation. What you'll be doing: As an Infrastructure Technical Program Manager, you'll be a key partner to our external NCP partners as well as key internal teams (Software Engineering, Production Engineering/SRE, and Data Center Operations) and their leadership, driving critical programs related to on-prem infrastructure engineering, bare-metal bring-up, and automation. You'll play a pivotal role in developing and maturing foundational capabilities and processes, spanning critical areas such as hardware validation, remote fleet bootstrapping, operational workflows, and cluster/capacity bring-up. This is a dynamic, fast-paced environment where TPMs are motivated to apply versatile abilities to a range of high-impact programs across the infrastructure lifecycle. Fleet Bring-Up, Automation: Coordinate the end-to-end remote bootstrapping, active bring-up, and validation of large server fleets to take clusters from physical rack-and-stack to a customer-ready state. Drive the adoption of automation tooling for fleet maintenance, node security, and burn-in, while establishing formalized workflows to rapidly triage and resolve day-one deployment issues. NVIDIA Software Integration & Capacity Operations: Partner closely with internal NVIDIA SW teams to integrate and deploy DSX and other c

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for 30 years. It’s an outstanding legacy of innovation that’s motivated by great technology—and outstanding people. Today, we’re harnessing the boundless possibilities of AI to build the next era of computing 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, encouraging environment where everyone is inspired to do their best work. Be part of the team and explore how you can make a lasting impact on the world! We are looking for a Senior Manager, Software Engineering to lead the evolution of our DevOps, Build Engineering and Infrastructure team. You will build and guide a high-performing engineering team responsible for building, testing, verifying and releasing core software that help NVIDIA employees deliver the core CUDA driver, runtime, and related language specific libraries in C&#43;&#43;, Python and Rust such as CCCL (Thrust, CUB, libcudacxx), cuda-python, numba-cuda, and cuda-rust. This hands-on leadership role combines people development, CI/CD, technical strategy, architecture, and end-to-end operational ownership. What you’ll be doing: Lead, hire, mentor, and grow a high-performing team of engineers building employee-facing products software development, CI/CD, and agentic AI experiences. Define the engineering vision, architecture, multi-quarter roadmap, and success measures for a cohesive developer experience and the platform serving a global workforce. Plan and manage team execution, including project prioritization, workload balancing, achievement tracking, dependency management, and predictable delivery. Provide hands-on technical leadership across Perforce, Git, GitHub, GitLab, and multiple CI/CD pl

NVIDIA is seeking a Senior System Architect to define two foundational areas of the GPU: the mechanisms that manage GPU execution state and the register address and access architecture used across the processor. This hands-on role spans architecture, functional modeling, verification, hardware and software integration, and silicon bring-up. We collaborate across ASIC, firmware, driver, verification, and performance teams to guide features from early exploration through implementation and validation. The resulting architecture will build GPU responsiveness, reliability, scalability, software compatibility, and the way increasingly sophisticated processors are configured and managed. What you’ll be doing: Architect and evolve GPU context-management mechanisms, including efficient methods for saving and restoring execution state. Own the GPU-wide register address map, coordinate address allocation, resolve conflicts, and maintain a scalable architecture through multiple product iterations. Define requirements, interfaces, compatibility expectations, and on-die and cross-die interconnects for register access and programming. Develop C&#43;&#43; functional-model support and collaborate with hardware build, embedded software, device software, testing, and performance groups to translate architectural requirements into coordinated solutions. Evaluate tradeoffs across performance, area, complexity, scalability, reliability, compatibility, and development effort. Build validation strategies, debug cross-stack issues through pre-silicon validation and initial silicon testing, and improve the tools and automation supporting register-interface development. What we need to see: A bachelor’s degree in Computer Engineering, Computer Science, Electrical Engineering, or a similar field, or equivalent experience. 5&#43; years of proven experience in computer archit

Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team! NVIDIA Architecture Modeling group is looking for Architects, Software Engineers, and AI application developers to join our various architecture efforts across GPU's and SOC's. In this position, you will be working with other world-class architects on enabling state-of-the-art GenAI applications integrated with simulation platform and architecture teams' process workflows. What you’ll be doing: Develop and deploy scalable GenAI applications that integrate with existing workflows and enhance overall productivity Use state-of-the-art AI tools and techniques to accelerate GPU/ SOC Architecture modeling Work with hardware architects to identify how to best design, customize, and deploy AI-based solutions to their specific problem domains. Collaborate with infrastructure engineers to improve existing automated workflows by incorporating LLMs and establishing best practices for future solutions. Research emerging AI technologies and engineering best practices to continuously evolve our development ecosystem and maintain a competitive edge. What we need to see: BS, MS, PhD or equivalent experience in Computer Science, Electrical Engineering, Computer Engineering, or a relate