Senior Principal Diffusion Process Development Engineer 2c Dram Jobs

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 a Propulsion Systems & Mechanical Integration Engineer to own the mechanical integration of propulsion systems across our next-generation defense platforms. In this hands-on role, you will work at the intersection of propulsion, structures, fluids, thermal management, avionics, and vehicle systems to turn propulsion concepts into reliable, testable, manufacturable hardware. You will integrate next-generation engines, fuel systems, valves, pumps, tanks, actuators, thermal protection, and associated support hardware in tightly constrained aerospace vehicles. You will drive the mechanical architecture and interfaces required to accomodate propulsion systems while balancing performance, mass, packaging, manufacturability, reliability, and cost. At Mach Industries, we are redefining the future of defense through advanced, scalable platforms. As a Mechanical Engineer, you will play a key role in prototyping and refining mechanical systems, and optimizing designs for performance and scalability. Collaborating with a multidisciplinary team, you’ll help shape the next wave of defense technologies, from concept to deployment. Key Responsibilities Own mechanical integration of propulsion systems from early architecture and co

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 hiring a Senior AI Engineer to build and operate production AI systems and infrastructure. In this role, you will work on AI agents, MCP servers, agent evaluation, and Temporal-based workflow frameworks. This is a hands-on engineering role for someone who can move between backend systems, AI application development, deployment, and production support. You will help build reliable services and frameworks that make AI agents usable, measurable, and dependable in production. What you’ll be doing: Build and deploy AI agents that use tools, call services, manage context, and execute multi-step tasks. Develop and maintain MCP servers and tool integrations used by internal AI systems. Build workflow infrastructure using Temporal or similar orchestration frameworks. Design and implement agent evaluation flows, test suites, quality metrics, and feedback loops. Design backend services, APIs, persistence layers, and platform components for AI applications. Work with SQL and NoSQL databases, queues, distributed systems, and cloud-native infrastructure. Build CI/CD pipelines, Docker images, Kubernetes deployments, monitoring, and operational tooling. Debug production issues across services, workflows, agents, tools, models, and infrastructure. Collaborate with engineering, product, infrastructure, and data science teams to turn requirements into reliable systems. What we need to see: 5+ years of experience and a practical understanding of how AI agents are built, including tool use, state, context, and multi-step execution. Bachelors degree or equivalent experience. Experience with at least one open-source agent or LLM application framework, such as LangChain/LangGraph. Strong software engineering background, especially in backend development. Experience with distributed systems, workflow orchestration, and prod

We seek a V&V Engineer with a strong background in validation to join the Interconnect validation team. This position will be part of the Product Engineering team that crafts and integrates software tests for NVIDIA networking products into the production lines. You will handle various projects across teams, complete new lab setups, review the HW design, build validation plans, implement automated tests, perform manual scenarios, and report bugs. Are you passionate about attention to detail and taking ownership of end-to-end validation for NVIDIA interconnect products? Join our team and bring your expertise to life! What you'll be doing: Collaborate with multi-functional teams across engineering, software development, and HW to identify test requirements Define and build setup topologies for appropriate product coverage Build a validation plan, complete, and integrate tests for the new interconnect products to address the business needs Debug SW & HW failures during the validation and take action to address it Report bugs found during validation, assist with reproduction, and debug to understand the root cause, and follow up to close it Deploy the product validation into the nightly automation tests and track during the daily meeting What we need to see: B.A./B.Sc. in Engineering Science or equivalent experience 5+ years of experience in validation and system engineering Hands-on experience with nightly runs and automated tests Strong problem-solving, quantitative, and debugging abilities Independent, responsible worker, able to plan and complete Excellent communication and presentation abilities Proficient in English, both written and spoken Experience in validation for both HW and SW applications Ways to stand out from the crowd: Background in HW vali

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. Position Description: As a technical member of Micron’s ASIC Verification team, you will have a key role in development of advanced verification components for complex IP designs, while ensuring on time delivery with best-in-class quality. Typical tasks include: development of new simulation environments, execution of verification plans while interfacing with design teams, and debugging complex problems. You must be familiar with constrained random verification and functional coverage closure. Additionally, you will be a self-starter, possess excellent analytical and problem solving/debugging skills, and have excellent verbal and written communication skills. Responsibilities include, but not limited to: ASIC/FPGA design verification experience with UVM methodologies Developing UVM-based SystemVerilog test-benches. Defining block, sub-system level verification plans. Understanding and knowledge of verification methodologies, flows and quality metrics. Excellent problem-solving skills. This role is expected to utilize Micron-approved AI tools and AI-enabled workflows to improve engineering productivity Team player with great interpersonal communication skills. Minimum Qualifications: Strong leadership and communication skills, with the ability to convey complex technical concepts to other peers in verbal and written form Experience with python programming language A proven ability to achieve result

We are seeking a talented and passionate Senior Developer to join our Operations Workbench Scrum team. You will be a key contributor to the development of our new, cutting-edge Operations Workbench platform. You will apply your deep technical expertise to build and implement robust solutions, while promoting engineering best practices. This role is for an experienced developer who is passionate about hands-on implementation and collaboration. You will be a core member of the team, delivering high-quality, scalable solutions to enhance operational efficiency. Why Join Our Team? Drive Global Impact: Be part of a team building a mission-critical system that will streamline and automate key operational workflows across the firm, directly impacting business efficiency. Solve Complex Challenges: Design and build a scalable, resilient, and cloud-native architecture for a complex workflow and case management system. Work with a Talented Team: Collaborate with a skilled team of developers, product owners, and architects, fostering a culture of engineering excellence and innovation. Work with Modern Technology: Utilize a modern tech stack, including Java, Kubernetes, Docker, and Kafka, to build cutting-edge financial technology solutions. Key Responsibilities · Software Development: Design, develop, test, and deploy high-quality, scalable, and maintainable code. · Quality Advocacy: Promote best practices for engineering excellence in coding, testing, build, deployment, and the maintenance of high-quality software. · Solution Implementation: Act as an active contributor to design and a hands-on implementer of code. · Agile Mindset: Actively participate in scrum activities such as sprint planning and refineme

At Gilead, we’re creating a healthier world for all people. For more than 35 years, we’ve tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer – working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world’s biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference. Every member of Gilead’s team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we’re looking for the next wave of passionate and ambitious people ready to make a direct impact. We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together. Job Description The Senior Director, Applied AI Solutions, leads the applied AI function within the AI Research Center (ARC), part of Gilead’s Clinical Data Science (CDS) organization in Drug Development. As CDS’s center of excellence for applied AI, this leader is accountable for the technical and product path from a prioritized AI use case defined by CDS functional organizations to a trusted, reusable capability in production — spanning discovery, experimentation, technical validation, first production release, adoption support, and measured value. The ownership model is deliberate. Business ownership of priorities, requirements, funding, process change, and workflow outcomes remains with the CDS and Develo

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

NVIDIA's GPUs and SOCs are the world leaders in power, performance and efficiency. We are continually innovating to deliver new and creative, unusual solutions to extraordinary problems in a wide range of sectors. To this purpose, we are now seeking a hard-working Senior Package Layout Engineer who is committed to making a difference in the world through their contributions! This position will collaborate with Technical Package Lead and different design teams in the design and development of sophisticated, detailed layout of IC substrates for NVIDIA products. In addition, work with design teams to plan schedules, resolve costs, manufacturing, and electrical design issues. What you'll be doing: As part of a Layout team, you will collaborate to implement high speed/density ASIC packages. Perform substrate breakout patterns for ASIC packages. Optimize package pinout incorporating system level trade-offs of pins assignment. Help perform package routing, placement, stack-up, reference plane and power distribution using Cadence APD or SiP tool suite. Propose layout design trade-offs to the Technical Package Lead for resolution and implementation. Conduct design feasibility studies to evaluate the Package design goals for size, cost, and system performance. Develop symbols and CAD library databases using Cadence APD design tools Develop methodologies to improve layout productivity What we need to see: Hold a B.S. Electrical Engineering or equivalent experience 5+ years experience in PCB Layout of graphics cards, motherboards, line cards or other related technology. Experience with HDI designs is a plus Proven experience in substrate layout of wire bond and flip chip packages, preferred Significant background with Cadence AP

NVIDIA DGXC Storage team handles some of the fastest training and inference tasks. Every GPU cycle depends on a storage platform built to keep tens of thousands of accelerators continuously busy. It maintains exabytes of data securely and powers the largest AI workloads worldwide across cloud, neocloud, and on-prem setups. With the growth of accelerated computing, storage is essential. It can make the difference between effective GPU use and wasted potential, and between launching a frontier model on time or missing the deadline by months. We’re looking for a hands-on Storage Software Engineer to join the storage team as an individual contributor and technical lead. You will contribute to open-source parallel and distributed file systems and keep our largest GPU clusters fast, reliable, and durable. You will stay deeply hands-on: writing and reviewing production code, chasing root causes in the field, and setting the configuration and tuning standards our GPU fleets run on. This is a chance to do foundational storage engineering for the AI era at the company that introduced accelerated computing. What you’ll be doing: Contribute to open-source file systems. Contribute code to open-source parallel and distributed file systems, and distributed object storage. Upstream fixes and features, and engage directly with the upstream communities and maintainers. Serve as a hands-on storage software lead. Write and review production code yourself, and read kernel, NFS, NVMe-oF, or SPDK source when a bug requires it. Make the final technical calls on storage deliveries against measurable targets. Triage and troubleshoot at scale. Triage, troubleshoot, and root-cause large, complex storage issues across very large GPU clusters (tens of thousands of GPUs) — I/O and metadata performance, data corruption, and recovery. Validate architecture and capabilities. Validate storage architecture, capabilities, performance, and durabil

NVIDIA’s invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern deep learning — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company and establish teams with the most thoughtful people in the world. Are you ready to change the next generation of computing? Join us at the forefront of technological advancement. NVIDIA data center systems have become core to NVIDIA's rapidly growing enterprise and cloud provider businesses. These platforms bring together the full power of NVIDIA GPUs, NVIDIA NVLink, NVIDIA Networking, NVIDIA Data Center CPUs, and a fully optimized NVIDIA AI and HPC software stack. We are seeking an excellent Senior System Engineer to work on bring up, integration, validation and troubleshooting for compute tray platforms of GPU Racks — ensuring servers are fully functional and validated as per requirement before mass deployment in data centers. What you’ll be doing: Working with a global team of architects and developers on NVIDIA AI server system (CPU, GPU, Memory, NIC, PCIe, NVMe SSD, Cooling, etc.) designs. Working closely with hardware teams to influence hardware system design, reviewing schematics and board design to ensure speed of light execution. Using simulation and emulation to left-shift early design and initiate new concepts and innovations. Hands on debug and support of early server prototypes bring-up and power on test debug in datacenter system labs. Factory and Manufacturing support: Support manufacturing flows, firmware updates, and diagnostic procedures. Ensure BOM change signoff and proc

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary: As a Senior Software Engineer, you will join the Vortex back-end team within the Navigating Wellbeing portfolio, owning and evolving various member support services that enable Aetna Health's web and mobile applications. You will be responsible for designing, developing, and implementing solutions and systems by applying advanced technical expertise to architect and code software applications, conduct system testing and debugging, collaborate with cross-functional teams, and contribute to the overall technical direction and innovation of digital engineering projects. Required Qualifications: 5+ years software engineering experience 3+ years of experience in at least one of the following: Node.js, JavaScript, TypeScript and SQL 3+ years of experience designing, building, and testing REST API's and microservices 2+ years experience with AWS, GCP, or other cloud systems Preferred Qualifications: Experience with unit and integration test frameworks like Jest and Mocha Experience with Claude Code, GitHub Copilot, and other generative AI systems Thoughtful approach to CI/CD concepts using GitHub Actions, Jenkins, or other pipelines

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence. We are looking for a highly motivated senior software engineer for an exciting role in our communication libraries and network software team. The position will be part of a fast-paced crew that develops and maintains software for complex heterogeneous computing systems that power disruptive products in High Performance Computing and Deep Learning. What you will be doing: Design, implement and maintain highly-optimized communication runtimes for Deep Learning frameworks (e.g. NCCL for TensorFlow/Pytorch) and HPC programming interfaces (e.g. UCX for MPI/OpenSHMEM) on GPU clusters. Participating in and contributing to parallel programming interface specifications like MPI/OpenSHMEM. Design, implement and maintain system software that enables interactions among GPUs and interactions between GPUs and other system components. Creating proof-of-concepts to evaluate and motivate extensions in programming models, new designs in runtimes and new features in hardware. What we need to see: M.S./Ph.D. degree in CS/CE or equivalent experience. 5+ years of relevant experience. Excellent C/C++ programming and debugging skills. Strong experience with Linux. Expert understanding of computer syst

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

The NVIDIA DGXC Data Services team builds cloud-native systems, frameworks, and services for managing data across hybrid and multi-cloud infrastructure. We are building the next-generation data and storage infrastructure to solve some of the hardest problems in AI: storage, access, ingestion, governance, observability, and data management for exabyte-scale, high-performance GPU-based training and inference jobs. Our work gives NVIDIA teams the foundational capabilities they need to build, train, deploy, and operate AI products at scale without reinventing critical data infrastructure for every workload. What you will be doing: Build storage technologies, client libraries, and filesystem frameworks that help AI workloads access data across object stores, file systems, and hybrid cloud infrastructure. Develop high-performance storage paths for training and inference workflows, including data loading, checkpointing, caching, POSIX-style access, and object-store integration. Build observability systems that diagnose storage bottlenecks, attribute GPU idle time to I/O behavior, and expose actionable telemetry through production monitoring stacks. Improve performance, scalability, and reliability of storage systems serving massive datasets, deep directory trees, and high-concurrency AI workloads. Work closely with internal AI teams, platform teams, SRE, and operations to validate storage behavior against real workloads and production environments. Use modern software engineering practices, including AI-assisted and agentic development workflows, while maintaining high standards for design, testing, security, performance, and verification. What we need to see: BS in Computer Science, Information Sys