Role Description We are seeking a passionate and resilient Principal Graphics Engineer to own a foundational piece of our infrastructure: the rendering and runtime layer that lets unmodified mobile apps execute and stream pixel-perfect, low-latency experiences to any browser. - Own the design, implementation, and evolution of our graphics and rendering stack across native (Android/Linux) and web (WebGL, WebGPU) targets. - Write efficient, maintainable, performance-critical C/C++ for system-level and rendering components, with hard requirements on frame budgets, memory, and latency. - Profile and tune the full pipeline: CPU/GPU bottlenecks, shader cost, texture and buffer management, compositor interactions, and end-to-end streaming latency. - Investigate and resolve faults in complex environments, tracing issues from the browser engine down through the runtime to the OS, kernel, and graphics driver. - Drive upgrades to the underlying platforms (AOSP versions, browser engines, GLES/WebGPU evolution) while keeping the system stable and shippable. - Partner with other teams to define and implement robust testing strategies for rendering correctness, performance regressions, and cross-device fidelity. - Operate as a senior independent contributor: scope your own work, drive it to completion, and communicate clearly with a small, high-trust team. - Work natively with AI coding agents and tooling (Claude Code, Cursor, agentic workflows, custom internal agents) to accelerate research, prototyping, code generation, debugging, and review. This is a technically demanding role that rewards resilience, creative problem-solving, and out-of-the-box thinking. Qualifications - Strong systems programming foundation: C/C++ proficiency on performance-critical, low-level codebases, with deep familiarity with Linux and OS-level internals. - Deep experience with one or more real-time graphics stacks: OpenGL ES, WebGL, WebGPU, Vulkan, Metal, or DirectX, including shader programming, GPU memory and pipeline optimization, and frame/latency budgeting. - Track record of owning complex, multi-component graphics or systems products end-to-end, from research prototype through production at scale. - Daily fluency with AI coding agents and LLM tooling, with a clear bias toward verifying and pushing back on AI output rather than accepting it. - A "dig until it bleeds" investigative instinct: the drive to understand every layer of the system. - Strong written communication and a self-directed working style suited to a small, senior, high-trust team. Requirements - Depth in two or more of the following: - Browser engine internals (Chromium/Blink, Gecko, WebKit), particularly the graphics, compositor, or rendering subsystems. - Game engine internals, real-time renderers, or GPU compute frameworks. - Android internals and custom AOSP development (kernel, HAL, SurfaceFlinger, System Services, GMS, Android Build System). - Android/Linux graphics stack (EGL, Gralloc, DRM/KMS, Mesa) and graphics driver work. - Web platform technologies: WebAssembly, WebRTC, and the surrounding browser security/sandboxing model. - Containers and virtualization (LXC, namespaces, cgroups) and their interaction with hardware-accelerated graphics. - Real-time network and socket programming, including low-latency streaming protocols and frame pacing. - Linux device driver programming. Nice-to-Haves - Experience building, fine-tuning, or evaluating internal AI/agent tooling that augments engineering work. - A data-driven mindset, relying on qualitative and quantitative signal to make informed decisions. - Mobile game development experience, including engines, SDKs, and the broader ecosystem. - Background in advanced compression, video codecs, or color management. - Graduate work or research background in computer graphics, systems, or a related area. Benefits - Group Retirement Savings Plan matching and participation. - Comprehensive benefits package (health, dental, vision), including Health and Wellness spending account. - Generous time off policies. - Access to leading AI tools and platforms.

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. *Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this roleAs a Staff Forward Deployed Engineer at GitLab, you will work at the intersection of customer outcomes, product direction, and hands-on engineering. This role is focused on strategic accounts in the APJ region, where you will help customers adopt GitLab and the GitLab Duo Agent Platform in complex enterprise environments, including self-managed, regulated, and constrained deployments. You will guide deep technical discovery, design practical adoption paths, and build reusable solutions that help customers move from early platform use into broader CI/CD, security, compliance, and AI-enabled workflows. This is not a traditional consulting role centered on one-off delivery. Instead, you will use customer issues to create durable technical assets, shape architecture patterns, and influence upstream product and engineering decisions when field needs point to a broader solution. Your work will help reduce time to value for strategic customers while improving how GitLab scales adoption across similar environments. Some examples of our projects: - Building a regulated-environment deployment accelerator for GitLab Duo Agent Platform in self-managed or constrained environments - Authoring reusable reference architectures for AI Gateway, identity, runners, network boundaries, model connectivity, and governance controls - Identifying a geo-replication gap in a self-managed deployment, tracing it to a root cause in Gitaly or the git backend, and contributing a targeted code or design change upstream What you’ll do - Conduct deep technical discovery in selected strategic accounts to assess platform readiness, evaluate constraints, and identify high-value adoption opportunities across GitLab and GitLab Duo Agent Platform. - Lead architecture and delivery design for complex enterprise environments where platform migration, regulated requirements, and product boundaries intersect. - Partner with customer stakeholders and GitLab account teams to prioritize use cases based on business impact, technical feasibility, repeatability, and long-term platform value. - Design and build bounded proofs, prototypes, deployment patterns, and reusable accelerators across source code management, CI/CD, security, compliance, and AI-enabled workflows. - Architect self-managed and enterprise deployments, including runners, access controls, network boundaries, observability, AI Gateway, model connectivity, and governance controls. - Turn recurring field patterns into reusable assets such as runbooks, templates, design notes, technical guidance, product briefs, and reference architectures that can be used across accounts. - Contribute code, technical designs, or architecture changes when strategically necessary, in partnership with product and engineering, to address blockers that should be solved upstream. - Travel as needed for strategic customer engagements, architecture workshops, and team coordination, with expected travel up to 50%. What you’ll bring - Experience in software engineering, platform architecture, forward deployed engineering, technical consulting, or similar customer-facing engineering roles. - Strong software engineering fundamentals, including the ability to read, reason about, and contribute to production systems, ideally with experience in Ruby on Rails and/or Go. - Strong systems design and software architecture skills, with experience evaluating APIs, asynchronous workflows, CI/CD systems, security boundaries, scalability, and operational tradeoffs. - Hands-on experience with GitLab CI/CD, pipeline design, YAML, runners, and GitLab APIs. - Experience with infrastructure as code and enterprise deployment tooling such as Terraform, Ansible, Helm, or similar approaches. - Working knowledge of large language models, agentic patterns, tool orchestration, and the practical limits of AI systems in production environments. - A track record of creating reusable technical assets that outlive a single engagement, along with strong written and verbal communication skills for technical design and architecture guidance. - Comfort leading conversations with senior stakeholders across security, compliance, engineering, platform, and business teams, especially in ambiguous enterprise environments. About the teamThe Staff Forward Deployed Engineer works closely with teams across Customer Success, Solutions Architecture, Product, Support and Engineering to solve hard adoption problems in enterprise customer environments. We focus on high-leverage technical work for strategic customers, especially when standard approaches do not fully fit the environment or the adoption challenge. We are especially valuable in situations where self-managed deployment models, security and compliance requirements, migration complexity, or AI platform adoption create barriers that standard approaches do not fully address. Success on our team comes from strong technical judgment, a bias for reuse, and the ability to balance immediate customer needs with long-term platform impact. Remote-Global How GitLab Supports Full-Time Employees - Benefits to support your health, finances, and well-being - Flexible Paid Time Off - Team Member Resource Groups - Equity Compensation & Employee Stock Purchase Plan - Growth and Development Fund - Parental Leave - Home Office Support Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.

Want tobuild a stronger, more sustainable future and cultivate your career? Join Cargill's global team of 160,000 employees who use new technologies, dynamic insights and over 154 years of experience to connect farmers with markets, customers with ingredients, and people and animals with the food they need to thrive. Job Purpose and Impact - The QA Software Engineer partners closely with Product and Engineering teams to ensure high-quality software delivery. This role focuses on validating product functionality through manual testing and designing, writing, and maintaining automated tests. Working within an Agile environment, this position helps ensure that features meet business requirements, quality standards, and user expectations. Key Accountabilities - MANUAL TESTING: Design, execute, and document manual test cases based on product requirements, user stories, and acceptance criteria. - TEST AUTOMATION: Develop, maintain, and execute automated test scripts to support regression, integration, and end-to-end testing. - AGILE COLLABORATION: Work closely with Product Owners, Developers, and other QA team members in an Agile/Scrum team to ensure quality is embedded throughout the development lifecycle. - DEFECT MANAGEMENT: Identify, document, and track defects, working with the team to ensure timely resolution and verification. - CONTINUOUS IMPROVEMENT: Contribute to improving QA processes, test coverage, and automation practices to increase efficiency and reliability. - DOCUMENTATION: Maintain clear and concise test documentation, including test plans, test cases, and test results. - COLLABORATION: Partners with cross functional team of product managers, designers and other engineers to gather moderately complex requirements and deliver solutions that meet business needs. - TECHNICAL SUPPORT: Occasionally, provides technical support and troubleshooting for moderately complex issues with deployed applications to ensure minimal downtime and fast resolution. - #LI-RJ2 #LI-Hybrid Qualifications - Minimum of 2+ years of experience in software quality assurance, with hands-on experience in manual testing and test automation. Typically reflects 3 years or more of relevant experience. - Experience working in an Agile development environment. - Solid understanding of QA methodologies, testing techniques, and the software development lifecycle. Nice to Have Skills - Experience with Cypress or similar test automation frameworks. - API testing experience (e.g., RESTful services). - Working knowledge of SQL for data validation and troubleshooting. Cargill is an equal opportunity employer and committed to providing accommodation to our job applicants with disabilities.

Title: MTS Silicon Design Engineer Location: Santa Clara United States Job Description: 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. Job Role and Responsibility: AMD, Inc. is hiring an MTS Silicon Design Engineer to Research, design, develop, and/or test electronic components and systems for semiconductor and related device manufacturing, employing knowledge of electronic theory. Oversee definition, design, verification, and/or documentation for ASIC development. Determine architecture design, logic design, and/or system simulation. Define module interfaces/formats for simulation. Lead the development of multidimensional designs involving the layout of complex integrated circuits. Evaluate all aspects of the process flow from high-level designs to synthesis, place and route, and timing and power use. Work with cross-functional teams including engineers to develop ASIC/layout design, working on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors. Drive projects or processes of significant technical importance. Exercise independent judgment to select methods, techniques and evaluation criteria for obtaining results. Utilize knowledge of or wide-ranging experience with computers and electronics, including circuit boards, processors, chips, electronic equipment, design techniques, tools, and principles to resolve complex issues in creative and effective ways. Apply knowledge of engineering principles, best practices, and technologies to the design, development, and testing of various AMD products. Can work remotely. Multiple openings. Qualified applicants click "APPLY NOW" button to apply online. Travel required: NO Qualifications: Degree required Master's degree or foreign equivalent in Computer Engineering, Electrical Engineering, Electronic Engineering, or related field. Qualifications: Amount and type of experience required: Three (3) years of experience in the job offered or closely related engineering role. Alternate combination of education and experience: Employer will alternatively accept a Bachelor's degree or foreign equivalent in Computer Engineering, Electrical Engineering, Electronic Engineering, or related field and five (5) years of progressive post-baccalaureate experience in the job offered or closely related engineering role. Specific skills required: The following skills are required: Position requires three (3) years of experience in the following: - Verilog, System Verilog, or VHDL; - Logic design, circuit design, or CMOS transistor design; - GPU Architecture, CPU Architecture, or Computer Architecture; - RTL design/coding, RTL verification, or hardware verification; - Submicron ASIC design flow, ASIC design tools, ASIC simulation, equivalence checking, or static timing analysis; - Back-end or front-end EDA tools; - TCL, Perl, or Python; - Logic Design, Power Saving Techniques, Timing Closure or Performance Simulators; and - Silicon debug or RTL debug. Can work remotely. #LI-AM4 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. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here. This posting is for an existing vacancy.