Senior Solution Engineer Jobs

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Software Engineer Overview About Ethoca Ethoca, a Mastercard company, is a global collaboration-based technology services provider that connects card issuers and merchants to combat fraud, enhance customer experience, and prevent disputes. To support our continued growth and success, we are seeking a talented Senior Software Engineer to join the Ethoca team. In this role you will be part of a highly agile team building exciting and innovative products delivered at scale to global markets. Role The Senior Software engineer will work within a cross-functional development team to estimate and own delivery tasks (design, dev, test, deployment, configuration, documentation) to meet the business requirements and enhance Ethoca’s product suite. This position requires collaboration with other engineering teams to deliver a wide range of strategic and tactical solutions. The ideal candidate should be proficient in entire SDLC including automation and product analysis. Given the diverse set of tools and services used across the business, the candidate will be exposed to various technologies and should possess a willingness to learn and adapt. You are passionate about design and technology and committed to doing things properly to avoid tech debt. • Participate in team prioritisation disc

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Senior Engineering Manager. About the job As a Senior Engineering Manager in Compliance Experiences, you will lead the Know Your Customer (KYC) engineering team as it builds out Twilio's new Compliance Domain. Your team owns Trust Hub, Twilio's KYC Platform and the gateway to accessing all of Twilio's communication APIs. It serves two distinct customer bases: external customers - Twilio's customers who depend on seamless regulatory compliance to provision and manage phone numbers globally, and internal customers - engineering teams across Twilio who rely on your team's compliance APIs, services, and Ops Tooling to operate efficiently. You will own the people strategy, delivery execution, and stakeholder relationships for a team processing millions of requests daily. You will be expected to champion AI-driven development practices, ensuring your engineers adopt LLMs and agentic tools to accelerate delivery, improve

NVIDIA Silicon Co-Design Group (SCG) is a wide-ranging, multi-functional team at NVIDIA. We sit at the crossroads of design, architecture, marketing, operations, and productization. Our contributions span from the architecture stage through final product definition. We architect solutions for Datacenter, Server, Gaming, Robotics, Automotive, and Embedded markets. We are fast-paced, collaborative, and focused on making groundbreaking, impactful products. We are seeking a Senior Silicon Validation Methodology Engineer for Low-Power (LPWR). You will own the department LPWR validation methodology across GPU, SoC, and CPU, from architecture to silicon to product. What you'll be doing: Own architecture, design, and first-use of end-to-end LPWR validation methodology from silicon to product, covering corners, edge conditions, variability, and real-world scenarios. Set the department standard for LPWR validation so it is reused across a broad array of silicon products. Define what needs to be tested, why, and how — including coverage bounds, PVT/variability, test-time vs. schedule, signoff criteria, milestone playbooks, and SOL(speed of light) expectations. Invent and land new LPWR validation approaches that go beyond extending an existing test plan. Challenge current paradigms on performance, power, idle vs. active behavior, and corner-case coverage, and drive the resulting methods, tools, and metrics into org default practice. Set LPWR validation strategy and policy across teams, including long-lead items that outlive a single execution cycle. Translate architecture and product goals into multi-generation methodology, infrastructure, and tool investments. Drive cross-functional consensus with Architecture, Design, Firmware, and Software under conflicting PPA, coverage, latency, and schedule priorities. Improve validation workflow at department scale by building and adopting automation, coverage m

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Senior Product Support Engineer to join our team. This is a Remote role reporting to the Director, Product Support. As part of our global Customer Success Organization, you will be dedicated to delivering high-impact experiences and identifying innovative solutions for our customers. You will leverage data and research to provide expert, hands-on support, ensuring clients achieve their goals and utilize our technology to its fullest potential. What you’ll do (Role Expectations) Provide second line consultation to independently debug complex security and network problems Partner with Engineering to assist customers with testing, troubleshooting, and reproducing issues to verify problems Document incident resolutions in technical databases and provide direct feedback to Engineering and Operations teams Develop department training programs and mentor engineers on advanced troubleshooting and ca

Become a part of our caring community The Senior Cloud Services Engineer enables cloud technologies to provide optimal performance, continuity, and efficiency in virtualized, on-demand environments. The Senior Cloud Services Engineer work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. The Senior Cloud Services Engineer utilizes software that manages and monitors networks, systems, and applications not only to guarantee performance within cloud software environments but also to orchestrate and automate the provisioning of resources. The associate begins to influence department strategy and makes decisions on moderately complex to complex issues regarding technical approaches for project components. Work is performed with minimal direction and considerable latitude is exercised in determining objectives and approaches to assignments. This role supports critical cloud engineering, ETL, Salesforce, AI, security, and DevOps initiatives while partnering across technical teams to deliver scalable, reliable, and secure solutions. The Senior Cloud Services Engineer also serves as a mentor to junior associates and contributes to continuous improvement efforts across the organization. Use your skills to make an impact Required Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field or equivalent experience 5 or more years of technical experience Must be passionate about contributing to an organization focused on continuously improving consumer experiences Experience working in a Salesforce environment Solid foundation of data engineering concepts, ETL, and distributed processing, particularly Databricks and Informatica Medium prog

Job Details: Job Description: Why Join Us Join a team shaping the future of AI on Intel platforms. You will work on cutting-edge technologies that accelerate Large Language Models, Generative AI, and other advanced AI workloads on next-generation Intel GPUs. This role offers the opportunity to collaborate with experts across hardware architecture, compilers, runtime systems, and AI frameworks while developing skills that span the full AI software stack. Your work will have direct impact on delivering industry-leading AI performance and enabling the next generation of AI applications. Intel is seeking a Senior AI Systems Software Engineer to drive optimization strategy and technical leadership across the AI software stack. In this role, you will lead the development of high-performance software solutions that accelerate AI inference workloads, including Large Language Models (LLMs), Generative AI, and emerging machine learning applications on Intel GPU platforms. You will work across software, compilers, runtimes, frameworks, and hardware architecture teams to deliver breakthrough AI performance and influence future product direction. What You’ll Do Key responsibilities will include but not limited to: Lead optimization initiatives for AI inference workloads on Intel GPUs. Define and drive performance optimization strategies across compilers, runtimes, and GPU kernels. Architect software solutions that improve scalability, efficiency, and performance. Profile, benchmark, and analyze complex AI workloads to identify system bottlenecks. Influence hardware and software co-design decisions through performance characterization and workload analysis. Drive cross-functional technical initiatives spanning architecture, compiler, framework, and r

We are excited to welcome a creative and independent Production Security Software Engineer for the IC test and product engineering group in NVIDIA Networking Business Unit. NVIDIA Networking Business Unit has continuously reinvented itself over two decades. Our high-speed buses & network products are leading in the markets with innovative ways to improve speed and bandwidth from one generation to another and today we are known as the go-to place for “End-to-End High-Speed Ethernet and InfiniBand Solutions”. We're looking to grow our company and build our teams with smart people who can join us at the cutting-edge technology. We are seeking a security engineer who will thrive in our innovative environment, who will help make our Network Silicon ICs products (Switch, NIC, SmartNic) secure. You will collaborate with test engineers, test house, Design, IT, vendors and many other professionals in the organization for the development of tools and test infrastructure for enabling security features in test and in all of our processes. At NVIDIA, we foster a collaborative and inclusive culture where your ideas can make an immediate impact. If you are passionate about enabling of the highest quality Network products in the market, we want to hear from you! What you'll be doing: Lead all security aspects in the integrated circuit production engineering team, including Define with security architects how to introduce new features into the ICPE production line Work with test engineers to add security related features into the test program, work with HSM vendors to provision our production lines with required security appliances an work with the production lines team to ensure smooth integration into the lines. Own the regression system to ensure no security related issues in the line, Enforce security reviews in internal SW development and work with corporate tools to ensure securi

We are looking for a passionate and energized engineer to accelerate the integration of APIs across the CUDA-X math library software stack into modern LLM and agentic AI workflows. Leading organizations globally are using GPU-powered data centers for AI, data analytics, and scientific simulations, driving advancements in fields like LLMs, computer vision, CAE, EDA, and autonomous vehicles. Our team develops the GPU-accelerated libraries and SDKs essential for these technologies. In this role, you will be responsible for ensuring both human engineers using LLMs and AI agents alike to build high-performance applications with ease through effective utilization of CUDA-X libraries. Do you have the rare blend of technical, developer experience and communication skills? If so, we would love to learn more about you! What You'll Be Doing: Drive the architecture and implementation of math libraries APIs and documentation structures designed to be LLM-first: introspectable, explainable, and easily synthesized by AI agents. Work with internal and external stakeholders to deliver timely LLM-enhanced library releases. Build metrics, tools and processes to measure impact and quality of LLM/agentic code generation. Prototype tooling and solutions to help transform math libraries’ APIs into LLM-friendly representations across popular codegen tools. What We Need To See: PhD or MSc’s degree in Computational Science, Computer Science, Applied Math, or related science or engineering field of study is preferred (or equivalent experience) 3+ years of experience Robust knowledge of LLMs, finetuning, RL, building RAGs, MCP, and building agenting tooling Proven experience designing clear, composable APIs and writing high-quality, well-documented code for complex technical domains Ability

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. As a Senior/ Staff NAND Design Rule Engineer in Process Integration (Storage Technology Group), your primary role is to drive and contribute to next generation 3D NAND development efforts. You will be working with several peer groups to define, execute, and coordinate effective actions to enable multiple projects to hit key achievements and timelines Responsibilities include but are not limited to the following: Define physical design rules for current and future Non-Volatile Memory (NVM) technologies from conception to full production ramp. Interact with process integration team to keep all technology developments up to date, to ensure DR's are accurate. Interact with design teams to eval

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. We are the GPU Communications Libraries and Networking team at NVIDIA. We deliver libraries like NCCL, NVSHMEM, UCX for Deep Learning and HPC. We are looking for a motivated Performance engineer to influence the roadmap of our communication libraries. The DL and HPC applications of today have a huge compute demand and run on scales which go up to tens of thousands of GPUs. The GPUs are connected with high-speed interconnects (eg. NVLink, PCIe) within a node and with high-speed networking (eg. Infiniband, Ethernet) across the nodes. Communication performance between the GPUs has a direct impact on the end-to-end application performance; and the stakes are even higher at huge scales! This is an outstanding opportunity for someone with HPC and performance background to advance the state of the art in this space. Are you ready for to contribute to the development of innovative technologies and help realize NVIDIA's vision? What you will be doing: Conduct in-depth performance characterization and analysis on large multi-GPU and multi-node clusters. Study the interaction of our libraries with all HW (GPU, CPU, Networking) and SW components in the stack Evaluate proof-of-concepts, conduct trade-off analysis when multiple solutions are available Triage and root-cause performance issues reported by our customers Collect a lot of performance data; build tools and infrastructure to visualize and analyze the information <li

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are now looking for a Senior Software Performance Engineer for Autonomous Vehicles! Our team builds NVIDIA’s end-to-end autonomous driving applications. We are seeking senior software engineers who are passionate about performance with an interest in optimizing self-driving solutions that run on NVIDIA’s multi-computer and heterogenous HW architectures. What you’ll be doing: Develop, maintain and optimize latency and throughput of NVIDIA’s L2/L3/L4 autonomous driving solutions. Devise acceleration strategies and patterns to improve software architecture and its efficiency on our computers with multiple heterogeneous hardware engines while meeting or exceeding product goals. Develop highly efficient product code in C&#43;&#43;, making use of algorithmic parallelism offered by GPGPU programming (CUDA)/ARM NEON while following quality and safety standards such as defined by MISRA. Collaborate with HW, product, OS, and safety teams to design next-gen products. What we need to see: MS or PhD degree in Computer Science, Computer Architecture, Electrical Engineering or related field (or equivalent experience). 12&#43; years of relevant professional experience. Excel

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join us today. Design-for-X Engineering at NVIDIA works on groundbreaking innovations involving crafting creative solutions in AI for Chip Design and AI for Predictions in various use cases in manufacturing testing on some of the industry's most complex semiconductor chips. What you'll be doing: As a senior member in our team, you will work on innovating in the DFT Power, Thermal & Voltage Noise Methodology areas. This will include working on groundbreaking low power & thermal solutions for our manufacturing tests to be enabled at conditions that push the boundaries for our datacenter GPUs. Partner with multi-functional teams including Product Development & Power Architecture, implementing brand-new methodologies on hard-to-solve problems for improving our outgoing quality of chips. You will work on post-silicon data analysis for power to architect the next-gen solutions. In addition, you will help develop and deploy DFT methodologies for our next generation products using Applied ML & Gen AI solutions. Help mentor junior engineers on test designs and trade-offs including cost and quality. What we need to see: BSEE (or equivalent experience) with 12&#43;, MSEE with 10&#43;, or PhD with 6&#43; years of experience in DFT design & power

As a member of the Hardware Infrastructure EDA Compute team, you will optimize, scale, and support workload scheduling systems that directly impact design velocity and infrastructure efficiency. Success in this role requires both operational precision along with developing and supporting forward-looking resource management solutions that address evolving compute demands. Beyond day-to-day operations, the role drives improvements in observability, service reliability, and automation, ensuring the EDA compute environment remains resilient, measurable, and aligned with long-term engineering demands. What you'll be doing: Manage, scale, and optimize job scheduling systems (LSF, Slurm, etc.) in a large-scale, multi-site environment supporting EDA and other compute-intensive workloads Analyze scheduler and infrastructure performance data to identify systemic bottlenecks and drive measurable improvements in utilization, throughput, and turnaround time Lead problem solving across scheduler, OS, and workload layers, ensuring timely resolution of service-impacting issues Identify recurring operational challenges and implement targeted automation or process improvements to reduce manual effort and prevent repeat incidents Help define and track reliable metrics and SLOs for service performance and reliability, partnering with customers to ensure expectations are realistic and measurable Contribute to operational standards, documentation, and best practices to improve consistency across sites Partner directly with customer teams to clarify requirements, translate technical tradeoffs, and drive issues to closure What we need to see: Bachelor’s degree in Computer Science or related field, or equivalent experience Minimum 5&#43; years of experience operating and supporting large-scale Linux-based

About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role Mach Industries is seeking an Mechanical Engineer with Avionics Integration expertise to join our team in designing, integrating, and testing the electro-mechanical systems that support next-generation defense platforms. In this hands-on role, you’ll develop avionics mounting architectures, electronics enclosures, PCBA mounting, wire harness accommodation, connector interfaces, EMI/EMC accommodation, and thermal management solutions for reliable, flight-ready hardware. At Mach Industries, we are redefining the future of defense through advanced, scalable platforms. As a Mechanical Avionics engineer, you will play a key role in taking avionics systems from concept through hardware bring-up, environmental testing, and flight qualification. Collaborating with electrical, firmware, systems, manufacturing, and test teams, you’ll help create rugged, serviceable, and manufacturable hardware built to perform in demanding aerospace environments. Key Responsibilities Design and develop avionics or PCBA mounting architectures or enclosures via CAD design and engineering release including GD&T per AMSE Y14.5 Work cross-functionally with electrical engineering teams to develop and verify overall architecture, schematics, layout via ECAD/MCAD data exchang

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? This role is for a highly experienced Back-End Software Engineer who wants to work on core systems that shape how the platform (Model Vault) operates. You will help define the architecture of the platform where reliability, security, performance, and simplicity all matter, and where many of the problems do not have off-the-shelf solutions. Model Vault is Cohere’s inference platform for deploying and operating models securely at enterprise scale. The team owns the systems between a customer and the underlying AI infrastructure, including identity, deployments, metering, billing, security, privacy, and confidential computing. We are strengthening these systems as Model Vault grows, with the goal of scaling to millions of users and supporting some of the world’s most demanding enterprise workloads. As a Senior/Staff Software Engineer, you will: Evolve and scale the backend systems that power Model Vault, including authentication and authorization, deployment management, billing, metering, and customer lifecycle. Lead major architectural initiatives across identity, payments, usage systems, platform scalability, and o