Software Engineer Ml Infrastructure Jobs

We are now looking for a Senior CPU Performance Developer Technology Engineer. NVIDIA is seeking an outstanding computer scientist to join its Compute Developer Technology (Devtech) team. This role focuses on research and development techniques to optimize key Cloud and HPC CPU workloads on NVIDIA’s CPU. This includes performing in-depth analysis and optimization to ensure the best possible performance on the current and future generations of NVIDIA CPU. What you will be doing: Engage directly with the developer community and experts in their field to understand and address the problems they are solving today and tomorrow. Guide key framework and application developers, contribute directly to their software stack, libraries or develop reference code. Join efforts with diverse groups at NVIDIA such as architecture, research, libraries, tools, system software, and product management teams to constantly improve our products. Influence the design of NVIDIA next-generation architectures and software stack by investigating the impact on application performance and developer efficiency. What we need to see: A BS, MS, or PhD degree in computer science or equivalent experience, and 8+ years of relevant experience. Strong knowledge of C/C++ and/or Fortran with solid understanding in software design, programming techniques, and algorithms. Hands-on experience with benchmarking and optimizing enterprise and cloud workloads. Good communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills. NVIDIA is at the forefront of breakthroughs in Artificial Intelligence, High-Performance Computing, and Visualization. Our teams are composed of driven, innovative professionals dedicated to pushing the boundar

Electronic System Design and Analysis Engineer (Experienced or Senior) Company: The Boeing Company The Boeing Test Operations and Engineering (TO&E) team in Berkeley , Missouri is seeking an Electronic System Design and Analysis Engineer to join our Instrumentation Installation Design group to support all major programs in the St. Louis area. We are currently hiring for a broad range of experience levels including Experienced and Senior Electronic System Design and Analysis Engineers. Position Responsibilities: Electrical Design & Testing AC and DC power applications Assisting shop with build information Reading electrical drawings/schematics Troubleshooting Electrical component/wiring faults Production Functional and Environmental Acceptance Testing Designing new test sets for various weapon and aircraft electronics Performs system tests to verify operational and functional requirements Supports resolution of product integration issues and production anomalies Researches basic technologies for potential application to company business needs Assists in monitoring suppliers' performance to ensure compliance with requirements Develops or modifies basic hardware and software designs based on defined requirements Assists with the development and documentation of electronic and electrical system requirements This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options. Basic Qualifications (Required Skill/Experience): <

Job Details: Job Description: The Role and Impact Intel is seeking an AI Model Performance Optimization Engineer to help deliver high-performance AI solutions that enable the next generation of client computing experiences. In this role, you will enable, validate, benchmark, optimize, and debug AI models to ensure they run efficiently and accurately across Intel hardware platforms. Working at the intersection of artificial intelligence, machine learning frameworks, software engineering, and hardware acceleration, you will collaborate with engineers across Intel to improve AI model performance, scalability, and adoption by customers and partners worldwide. This is an exciting opportunity for engineers passionate about Generative AI, machine learning systems, model optimization, and performance engineering who want to influence technologies used by millions of people globally. What You Will Do Key responsibilities will include but not limited to: Enable, validate, benchmark, and optimize AI models on Intel platforms. Analyze model performance and identify optimization opportunities. Debug issues across AI frameworks, software stacks, and hardware platforms. Develop and execute tests to ensure model functionality, accuracy, and performance. Collaborate with software, hardware, compiler, and architecture teams to solve technical challenges. Utilize AI-assisted development tools to improve engineering productivity. Contribute code, bug fixes, documentation, and test coverage to internal and open-source projects. Work effectively with globally distributed engineering teams. Behavioral traits that we are looking for: Curiosity and Learning Agility: Demonstrates a passio

We are looking for a full-stack SWQA Tools Development Engineer with experience leading people and projects to join our Certification team. You will collaborate with a team of dedicated engineers to tackle some of the most sophisticated challenges in innovative technology. Mentored by the best minds in the industry, you will work on exciting, high-impact projects. Your immediate focus will be to learn about testing and existing A&T for the various certification programs the team covers (HLK, HDMI/DP, ESXi, Android CTS, etc.). Then you will provide new AI-driven solutions to improve productivity, tracking, and efficiency across our end-to-end workflows. This will lead to you owning certification programs and managing them across the company and with third-party certification authorities. What you'll be doing: Apply various certification kits to test software and hardware features of our products, ensuring certification-level quality across all stages of the development cycle, from emulation to production. This includes a wide range of functional areas, including graphics, display, audio, multimedia, USB, hypervisors, and virtual machines. Develop a detailed understanding of all functional and process-related areas in the hardware and functional certification ecosystem. This knowledge will enable you to take full ownership of multiple Cert programs. You will also lead other Cert engineers on the distributed team and work with various multi-functional teams within the company. Work actively with existing UI and automation tools by integrating internal and external APIs. Formulate and deploy multi-agent systems to optimize workflows and build new automated solutions. Communicate accurate, timely, and effective status to management and other key internal/external partners. As a SWQA Tool Developer, you will focus on process definition and improvement to support the team and company's success. Yo

We are seeking senior engineers to pioneer new methodologies for accurately assessing the performance and capabilities of ground-breaking deep learning models, including LLMs, RAG, agents, and vision models. You will collaborate across the organization to bring the latest flagship models from our community and partners to life. This role offers an outstanding opportunity to craft the future of AI at a fast-growing company at the forefront of the AI revolution. Join our team of world-class software engineers and partners to deliver the most advanced models with lightning-fast inference. You'll work on the most powerful, enterprise-grade GPU clusters capable of hundreds of PetaFLOPS and gain early access to unreleased hardware, making a direct impact on NVIDIA's roadmap and the broader AI landscape! What you’ll be doing: Design and build decision-grade evaluation environments for NVIDIA's frontier models spanning reasoning, multimodal, long-context, and agentic systems, producing auditable accuracy signals that gate every major model release. Research and develop novel evaluation methodologies for emerging model families and capability domains (low-precision numerics, multi-turn agentic tasks, code generation) where established benchmarks don't yet exist or don't generalize. Build and operate the evaluation infrastructure and pipelines including benchmark environments, regression CI systems, and statistical analysis tooling, used by model, product, and applied research teams across NVIDIA. Partner with model research, training, and customer teams to translate evaluation signals into concrete decisions: release go/no-go, training iteration direction, and competitive positioning against external frontier models. What we need to see: BS, MS, or PhD in Computer Science, Machine Learning, Statistics, or a related field <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. Our team builds AI-driven software systems for Circuit Design: combining automation algorithms, DL models and agentic workflows to accelerate end-to-end design automation. Come join this integral team in our Circuit Solutions Group! What you'll be doing: Work within a multi-functional team on various projects involving Pre-silicon and Post Silicon custom circuit design and related data, Circuit/Layout Optimization and Spice correlation Research and implement techniques on frontier solutions of electronic design automation. Build and innovate agentic AI solution for VLSI design problem. Responsible for analyzing the problem or datasets, raise and validate hypotheses, design and build models and algorithm until they reach the desired QOR. What we need to see: MS (or equivalent experience) with 3&#43; years’ experience or PhD with 1&#43; years’ experience in Electrical/Computer Engineering degree Experience in the following fields is a strict requirement for this role: Combinatorial Optimization, Agentic AI and large language models, Machine Learning for Chip Design & EDA Experience in Algorithms/Data Structures/

About Datadog We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at a high scale - trillions of data points per day — providing always-on alerting, metrics visualization, logs, and application tracing for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. The Opportunity User safety and platform integrity is critical to our business. Our customer’s success is our success. We’re looking for a Senior Security Engineer to join us in taking a proactive, highly scalable, and data-centric approach to enabling a safe and trustworthy experience for the users of our rapidly growing and increasingly interactive platform. You’ll fight against threats to our users, platform abuse, and other potentially risky and unwanted behaviors on our platform. Our team covers a broad range of trust and safety related topics including software engineering, data science, user engagement, privacy, threat detection, incident response, and bridging gaps between security and the broader Datadog business. You will bring expertise in a few of these areas. You’ll join a growing security team at an ideal time for making a big impact. Datadog is growing rapidly, and AI-assisted development is increasing both the pace of software delivery and the amount of activity generated by AI agents. The product is seeing very high growth, with the platform becoming more interactive and new products and features developed regularly. At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Have a direct impact on customers and their overall trust of our platform. Drive the technical roadmap in colla

About THG Ingenuity THG Ingenuity is a fully integrated digital commerce ecosystem, designed to power brands without limits. Our global end-to-end tech platform is comprised of three products: THG Commerce, THG Studios, THG Fulfilment. Each represents a single, unified solution, overcoming challenges and taking brands direct-to-consumer. Our client portfolio includes globally recognised brands such as Coca-Cola, Nestle, Elemis, Homebase, and Proctor & Gamble. Role Overview The Staff Tech Warehouse team is responsible for maintaining the IT working environment and delivering a world-class experience across our fulfilment and manufacturing centres worldwide. You will be the face of IT, providing excellent customer service and ensuring that every employee can perform their role as efficiently as possible. We are currently looking to hire an IT Support Engineer in Magnice, Poland. Requirements Provide strong customer service to internal IT teams, business partners, and employees, working closely with the Server and Networking teams. Keep asset and change management systems up to date at all times. Maintain and manage Android Mobile Device Management (MDM) solutions. Enrol and manage Windows and macOS devices through Microsoft Intune. Play a key role in developing corporate standards for desktop computer software and hardware, conducting reviews to ensure compliance. Successfully deploy and upgrade hardware across warehouse sites. Maintain the estate of printing devices, including thermal and laser printers. Perform computer management and system administration activities. Support the upkeep of pack stations to ensure smooth operations. Proactively manage open incidents, working with technical support teams to achieve the fastest resolution in line with incident SLAs. Support Microsoft Office products, Windows 11, macOS, desktops, laptops, multifunction printers, and basic LAN/WAN connectivity. Communicate daily service status across the business line. Manage a

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are hiring a Security Incident Response Engineer to join our Incident Response team. You will help redefine how incidents are handled at scale, pairing autonomous AI agents with human judgment so that we can detect, investigate, and contain threats faster across a rapidly growing cloud and AI footprint. AS A SECURITY INCIDENT RESPONSE ENGINEER AT SNOWFLAKE, YOU WILL: Join a high-impact team of security experts to scale security at one of the fastest-growing software companies ever Spearhead an agentic approach to Incident Response by deploying, guiding, and refining autonomous AI agents that execute initial triage, context gathering, and rapid investigation alongside human Incident Commanders Handle escalations, lead security investigations, and act as Incident Commander for critical incidents Build scripts, automation pipelines, and agentic workflows that continuously enhance Snowflake's incident response capabilities Partner closely with our Threat Detection, Automation, Product Security, Legal, HR, Cloud, and Data teams Create and improve detections, threat signatures, and guardrails for both traditional and AI-driven attack vectors Participate in a periodic on-call rotation, which may involve non-traditional working hours OUR IDEAL SECURITY INCIDENT RESPONSE ENGINEER

About the Role As a Hardware Security Engineer, you’ll contribute to building open, transparent, and secure AI systems. You’ll have the opportunity to work on projects that safeguard corporate assets by implementing and operating preventative and reactive security controls while collaborating with teams and stakeholders across the company. We’re looking for an intern that is interested in building AI-assisted security apps. Responsibilities Design, prototype, and implement security solutions for AI infrastructure across hardware, firmware, operating systems, and cloud services, including BMCs, TPMs, secure boot chains, networking interfaces, and workload identity systems. Assess and improve the security posture of server and accelerator platforms, including firmware update processes, device identity, trusted execution, and hardware-backed cryptography. Support the secure platform lifecycle, from device onboarding, provisioning, and inventory through configuration validation and decommissioning. Build automation and internal tools in Python, Bash, or similar languages to collect platform telemetry, detect configuration drift, and support incident investigation. Build AI-assisted security applications for asset classification, anomaly detection, and detection-and-response workflows. Partner with IT and infrastructure teams to implement and enforce identity, access-control, endpoint, and privileged-access security practices. Research and evaluate emerging technologies such as confidential computing, remote attestation, hardware roots of trust, and secure device management. Write clean, well-documented code, technical designs, test plans, and security findings. Requirements Actively pursuing a degree in Electrical Engineering, Computer Science, Software Engineering, or a related field expected by Summer 2027 Foundational understanding of computer architecture, operating systems, networking, embedded systems, digital logic, or electronics Strong programming skills

About the Role As a Hardware Security Engineer Intern, you’ll contribute to building open, transparent, and secure AI systems. You’ll have the opportunity to work on projects that safeguard corporate assets by implementing and operating preventative and reactive security controls while collaborating with teams and stakeholders across the company. We’re looking for an intern that is interested in building AI-assisted security apps. Responsibilities Help design, prototype, and assess security solutions for AI infrastructure across hardware, firmware, operating systems, and cloud services, working with components like BMCs, TPMs, secure boot chains, and device and workload identity systems. Support secure platform lifecycle work such as device onboarding, provisioning, inventory, and configuration validation. Build automation and internal tools in Python, Bash, or similar languages to collect platform telemetry, detect configuration drift, or support incident investigations. Prototype AI-assisted security tools for tasks like asset classification, anomaly detection, or detection-and-response workflows. Research an emerging area such as confidential computing, remote attestation, or hardware roots of trust, and share your findings with the team. Own a well-scoped project from start to finish with mentorship from experienced engineers, delivering clean, well-documented code and presenting your results at the end of the internship. Requirements Bachelor’s degree (or equivalent) in Electrical Engineering, Computer Science, Software Engineering, or a related field, earned or expected by Summer 2028 Foundational understanding of computer architecture, operating systems, networking, embedded systems, digital logic, or electronics Strong programming skills with a proficiency in Python or bash Exposure to building AI-assisted applications Preferred Qualifications Prior security engineering experience through internships, hackathons, or projects Coursework, projects, resea

IT Systems Engineer - Millennium Space Systems Company: Millennium Space Systems Millennium Space Systems, a part of Boeing Defense, Space and Security (BDS), is a fast, agile small satellite company focused on national security space. Our missions have direct impact to global security, like missile warning and Earth observation. Our team is curious, bold and innovative. We take risks, innovate and explore new techniques and technologies. We influence change because we challenge the status quo. And when we watch our satellites launch, we know each one of us made it happen. Job Summary : The IT Systems Engineer is responsible for designing, developing, and integrating complex systems at every stage of their lifecycle. This individual participates in technical research and development to enable continuing innovation with an eye toward accessibility, optimization, and security, within the infrastructure. To be successful in this position, the ideal candidate should be a highly motivated, results-driven individual who thrives in a cross-team collaborative environment. This position's internal job is Sys Design & Integ Spec. Our team is currently hiring for levels 4 or 5. Position Responsibilities: Install and configure operating systems, software, and hardware components, and clearly document the design, maintenance, and support procedures for routine tasks to leverage IT support staff Use expert-level configuration, administration and optimization of hosts and servers to ensure high availability of infrastructure and systems Participate in the design of information and operational support systems Research and recommend innovative, and where possible, automated approaches for syste

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&#43; 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

Work Flexibility: Onsite It's Time to Join Stryker! Why Join Stryker? Join Stryker's Mako Robotics team and help shape the future of robotic-assisted surgery! As an Electrical Engineer, you will take ownership of electrical designs supporting Mako's robotic end effectors, contributing to the development, integration, testing, and improvement of sophisticated medical technology. This is a hands-on opportunity to work across the electrical engineering lifecycle, from circuit design and hardware development to troubleshooting and system integration. Working alongside a talented multidisciplinary engineering team, you will help develop reliable, innovative solutions that support surgical precision and improve patient outcomes. If you enjoy building things, solving challenging technical problems, and seeing your designs come to life in real-world applications, this is an opportunity to make a meaningful impact. What You Will Do Design, develop, and support electrical components and subsystems for Mako robotic end effectors, taking ownership of assigned electrical designs throughout the development lifecycle. Translate product requirements into electrical engineering specifications, circuit designs, and technical solutions. Perform schematic design, PCB development, component selection, and electrical hardware integration activities. Build and evaluate prototypes, conduct bench testing, and validate electrical functionality and performance. Troubleshoot electrical hardware and system-level issues, perform root cause analysis, and implement effective solutions. Integrate electrical hardware with mechanical, software, and other system components to support reliable robotic system performance. Evaluate existing designs, identify opportuniti

At NVIDIA, we’re building GeForce G-Assist — an on-device AI assistant that combines Small Language Models (SLMs), retrieval systems, and hybrid cloud capabilities to deliver responsive, context-aware assistance inside the GeForce ecosystem. We work closely across engineering and product teams to ensure G-Assist performs reliably in real-world scenarios. What you'll be doing: Together, we focus on how models behave in production, not just on benchmarks. Evaluate and improve Small Language Models used in GeForce G-Assist, with an emphasis on accuracy, robustness, and conversational reliability. Identify and mitigate conversation and context contamination, including state drift, prompt leakage, and retrieval cross-talk. Work with SLM and VLM architectures to support text and multimodal interactions. Collaborate on hybrid architectures that combine local SLMs with cloud-based models. We value engineers who enjoy thinking across the full system—from model behavior to runtime performance. Optimize local inference using llama.cpp, including quantization, memory usage, and performance tuning. Read, write, and optimize C/C&#43;&#43; code in performance-critical paths. Design and integrate retrieval-augmented generation (RAG) systems that ground responses in system and user context. Support agentic AI workflows, enabling planning, tool use, and multi-step execution. What we need to see: 5&#43; years of validated experience in system software or a related field, with an M.S. or higher degree in Computer Science, Data Science, Engineering, or a related field (or equivalent experience). We’re looking for teammates who enjoy solving real problems, learning as they go, and collaborating in a tight-knit environment. Strong ability to read and write C/C&#43;&#43; code in systems-level or performance-sensitive environments, along with proficiency in Python. Hands-on experience w