Software Engineer Ml Infrastructure Jobs

About the Team OpenAI develops models that can reason through complex problems and hardware designed for the demands of advanced AI. AI for Chips connects these efforts: applying increasingly capable AI systems to the work of semiconductor engineering. Our goal is to help engineers develop better chips and shorten design cycles. This work brings research, model training, and hardware expertise together to build tools that engineers can use on real designs, with correctness and measurable performance at the center. About the Role We’re hiring a Research Engineer to help OpenAI models solve chip-design problems through reinforcement learning, tool use, and evaluation. You’ll own experiments from the initial idea through implementation and analysis. That means building environments and evaluations, running training, investigating failures, and using the results to decide what to try next. You’ll also build the software needed to make those experiments reliable and reproducible. We value strong coding fundamentals, careful experimental judgment, and the ability to make progress independently. Prior chip-design experience is helpful, but you can learn the domain alongside the team’s hardware specialists. In this role, you will: Build RL environments and evaluations for tasks such as RTL generation, design verification, and physical design optimization. Develop and test approaches that help models use chip-design tools and improve power, performance, and area while preserving correctness. Design experiments, establish baselines, and measure whether improvements hold up on new tasks and designs. Investigate failures across model behavior, rewards, evaluation tools, and experiment infrastructure. Improve iteration speed through better tooling, faster evaluations, and proxy rewards that reflect the outcomes we care about. Turn successful experiments into reusable research code and training workflows, working closely with researchers and engineers. You might thrive in this ro

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. About the role We are looking for a Principal Engineer to help build GitLab Duo Agent Platform, the agentic orchestration layer that runs AI agents and flows across the entire software lifecycle. Principal Engineers at GitLab are recognized experts across multiple technology domains and represent the senior technical leadership within their organization. In this role you will set technical direction for a significant part of the Agent Platform, working across several teams to turn agentic capabilities into something engineering organizations can actually depend on: predictable, observable, governable, and fast enough to sit in th

MongoDB Professional Services (PS) works with customers of all shapes and sizes, in all verticals, from tier-1 banks to small web startups, on a variety of exciting use cases. This role solves technically sophisticated problems, gains incredible cross-stack experience, works with top-notch people in the business, networks with industry leaders, and sees new places - all in a day’s work! MongoDB PS exists to support the development of our customers’ vision, accelerate customers’ time to value, and drive a multitude of customer adoption scenarios – from building new solutions to modernizing legacy applications or migrating to cloud. Our consulting solutions ensure that organizations get the best out of MongoDB. Work as a software developer in a small Agile team delivering solutions onsite for customers focussed on migrating our customers’ legacy relational-based Java applications to a more modern cloud-based architecture running on MongoDB, leveraging the latest GenAI tools and approaches to accelerate this process. During each project, successful candidates will be required to innovate on potential new GenAI-based solutions for specific challenges in addition to applying existing playbooks and tooling for migration. We are looking to speak to candidates who are based in Bengaluru for our hybrid working model. Position Summary As an Application Delivery Consultant, you will work closely with customers to deliver tailored solutions for modernizing their legacy SQL-based systems and applications. Your role will involve collaborating with bite-size Agile teams, applying best practices, and contributing to system redesigns that leverage MongoDB. This is an excellent opportunity for candidates with strong technical fundamentals and a passion for learning, as the role provides extensive training and exposure to modern technologies like MongoDB, GenAI, and cloud-native architectures Position Expectations: Collaborate with project teams to deliver solutions for modernizing le

About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. For software engineering organizations, this means helping customers adopt Codex and other OpenAI capabilities across the software development lifecycle—transforming how teams plan, build, test, review, and deliver software. We work directly with engineering leaders and hands-on developers to identify high-value opportunities, design and implement AI-powered development workflows, and scale what works across engineering organizations. We turn lessons from these deployments into better products, reusable architectures, and technical patterns that help developers everywhere get more value from Codex. About the Role As an Applied AI Engineer focused on Codex, you will partner directly with leading engineering organizations to design, build, and deploy AI systems that transform how software is developed. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from workflow and use-case selection through prototyping, evaluation, production rollout, and scaled adoption. You will work alongside engineering teams to build advanced AI coding workflows, integrations, automations, and evaluation systems—often using Codex itself as part of your development process. You will help customers make technical decisions involving model behavior, agentic workflows, developer environments, security, reliability, evaluation, and operational readiness, while ensuring deployments translate into measurable improvements in engineering productivity and software delivery. You will work closely with OpenAI Product, Research, Engineering, Security, Sales, and the broader Codex organization, translating real-world deployment experience into high-signal product and model feedback. Success is measured by production systems, sustained developer adoption, and meaningful improvements to how

About the Team Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives. About the Role We are seeking a Mechanical Design Engineer to lead the development of motor mechanical designs and prototype hardware for advanced robotic systems. You will own stator and rotor mechanical development from early concepts and detailed design through hands-on builds and prototype validation, partnering closely with electromagnetic, electrical, test, and manufacturing teams. This role focuses on the design, integration, and validation of motor components and prototype processes, including laminations, stack assemblies, bobbins, winding interfaces, and fixtures. You will help drive motor development from initial design through repeatable low-volume builds while establishing the tooling, work instructions, and validation practices needed for future robotic platforms. This role is based in San Francisco, CA, and requires in-person presence 4 days a week. In this role, you will Own stator and rotor mechanical designs and released CAD and drawings, including geometry, interfaces, fits, tolerances, retention, assembly access, and mechanical validation. Develop laminations, stack assembly methods, bobbins, and winding interfaces that control alignment, insulation, conductor placement, and end-turn packaging. Design, fabricate, and debug fixtures for winding, stacking, assembly, alignment, and inspection. Build and troubleshoot prototypes. Use measurements, defects, rework, and assembly effort to improve designs and processes. Establish low-volume prototype production with equipment, build sequences, work instructions, revision control, traceability

Application Modernization Platform (“AMP”) is a MongoDB offering that modernises our customer’s legacy relational applications to a modern architecture underpinned by MongoDB using a combination of software, processes, and engineers. In this offering, the people and software are inextricably linked and cannot be separated. The delivery happens in an accelerated timeframe wherein the team takes advantage of GenAI and algorithmic tooling to expedite the turnaround time for application delivery. AMP team generally works with enterprise-grade customers, in all verticals on a variety of exciting use cases. This role solves technically sophisticated problems, gains incredible cross-stack experience, works with top-notch people in the business, addresses multiple customer-facing opportunities. The role also becomes the forefront of groundbreaking R&D that enables further acceleration for enterprises working across a variety of technologies. AMP exists to expedite time to value for customers who are looking forward to changing, modernising and updating their tech stack while keeping MongoDB the cornerstone of their system architecture. Work as a software developer in an Agile environment delivering solutions for customers focused on migrating our customers’ legacy relational-based Java applications to a more modern cloud-based architecture running on MongoDB, leveraging the latest GenAI tools and approaches to accelerate this process. During each project, successful candidates will be required to innovate on potential new GenAI-based solutions for specific challenges in addition to applying existing playbooks and tooling for migration. This role will be based remotely in France. Position Expectations Shape architecture and technology strategy across AMP modernization projects and workstreams, making complex technical decisions with limited supervision and connecting engineering choices to customer and business outcomes Lead the assessment and modernization o

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. Staff/Principal Full-Stack AI Engineer, IPAI, SMAI Job Summary Lead the Future of AI-Powered Manufacturing at Micron Micron is accelerating its transformation toward Autonomous Operations through Artificial Intelligence, advanced analytics, digital twins, robotics, and intelligent automation. As a Staff/Principal Full-Stack AI Engineer , you will be a technical leader driving the strategy, architecture, and delivery of next-generation AI products that power smarter manufacturing across Micron's global network of fabs and assembly/test sites. In this highly influential role, you will own AI solutions end-to-end—from data engineering, machine learning, and agentic AI systems to modern full-stack applications, digital twin platforms, robotics integration, and edge-to-cloud deployment. Working closely with data scientists, software engineers, robotics teams, and manufacturing leaders, you will transform innovative ideas into scalable, production-grade solutions that improve efficiency, increase automation, and enable intelligent decision-making at enterprise scale. This is a unique opportunity to shape the future of AI in semiconductor manufacturing and directly contribute to Micron's vision of autonomous, data-dri

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Performance Engineer, Inference Engine About the Role Anthropic's inference engine is the software between the accelerator kernels and the routing layer. It manages the entire token path in between: batching requests, laying the model out across chips, managing memory for weights and activations, coordinating every forward pass, and managing model state across requests. Built in-house, it runs on all of our accelerator platforms, serving Claude to millions of users and running our research workloads. You will work on building and optimizing this system at Anthropic scale: improving throughput, cost, reliability, and latency across all accelerator and cloud platforms. You are intimately familiar with the hardware and bandwidth numbers (FLOPs, HBM, PCIe, RDMA, network links, etc.) and can model a problem quickly: where the time and bytes go, and what sets the bound. The role is deeply technical and high-impact, and suits engineers who enjoy working across accelerator programming, high-performance systems that seamlessly coordinate between host and device, and large-scale distributed systems. Familiarity with the transformer architecture is a plus. Some example recurring themes: Keep device utilization high. Accelerators should never be waiting due to other overheads. Reuse instead of recompute. Keep model state cached and reuse it whenever that is cheaper than computing it again. Measure, model, then change. We build the observability to see where the gaps are, model the impact of potential improvements, deploy them, and go around again, with Claude speeding up every turn of that loop. Tokens you can trust. Ensuring model quality matter

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Location: London, Lisbon, or Austin - (Hybrid) Join the team helping shape the future of the Internet. We’re building high-performance systems that handle a quarter of the Internet’s traffic . Our work influences open standards (like QUIC, MASQUE, and ECH), involves close collaboration with the IETF, and pushes the boundaries of what's possible in networking and security. You don’t need to be an HTTP or cryptography expert to join — we’re looking for ex

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations Spain Responsibilities The Partner Engineer (PE) is a high-impact, strategic technical sales leader responsible for end-to-end technical lifecycle and enablement of the assigned partners, managing both pre-sales and post-sales engineering activities. In this role, you will act as the single technical point of contact as the trusted advisory for your assigned partners, driving technical validation during the sales cycle, archite

MongoDB Professional Services (PS) works with customers of all shapes and sizes, in all verticals, from tier-1 banks to small web startups, on a variety of exciting use cases. This role solves technically sophisticated problems, gains incredible cross-stack experience, works with top notch people in the business, networks with industry leaders, and sees new places - all in a day’s work! MongoDB consulting exists to support the development of our customers’ vision, accelerate customers’ time to value, and drive a multitude of customer adoption scenarios - from building new solutions to modernizing legacy applications or migrating to cloud. Our consulting solutions ensure that organizations get the best out of MongoDB. We are looking to speak to candidates who are based in Berlin for our hybrid working model. Our ideal candidate will have 2+ years of software development/consulting/support experience, preferably in a number of distinct industries/verticals Familiarity with enterprise-scale software architectures, application development methodologies, and software deployment and operations Competence in at least one of the following languages (in no particular order): Java, C++, C#, Python, Node.js (JavaScript), Ruby, Perl, Scala, Go Experience with databases such as MongoDB, Oracle, MS SQL Server, PostgreSQL Familiarity with Linux diagnostics and tuning; Windows tuning knowledge is a plus Excellent analytical, diagnostic, and problem-solving skills High motivation for a role that combines deep technical and customer-management dimensions Confidence speaking and presenting in a customer setting Fluency in both English and German languages. Position Expectations As a core member of the MongoDB PS team, you will: Contribute to customer implementations at any or all phases of the application lifecycle: portfolio assessment, application planning and design, deployment architectures, development and build, integration and release configuration, system testing, production o

About Eudia: Eudia is redefining the future of legal work with AI-powered Augmented Intelligence, enabling Fortune 500 legal teams to move faster, manage risk more effectively, and unlock new business value. Backed by $105M in Series A funding led by General Catalyst, we’re building a category-defining platform that blends AI-driven automation with human expertise, transforming legal from a cost center into a strategic growth driver. At Eudia, we move fast. Unlike traditional enterprise software, our teams ship solutions in days, not months—delivering real impact for some of the world’s largest companies, including Cargill, Coherent, DHL, and Duracell. We’re solving one of the most complex, unsolved challenges in AI: bringing trust, accuracy, and security to legal automation. We’re a team of builders, operators, and problem-solvers who are passionate about reshaping an industry that has long been resistant to change. If you’re looking for a place where you’ll be challenged, take ownership from day one, and work alongside some of the brightest minds in AI and legal —we’d love to meet you. About the Role: We are seeking a highly motivated and innovative AI Engineer Intern for either the spring or summer to join our growing team in Palo Alto. This internship offers an exceptional opportunity to work on challenging Machine Learning / Gen AI problems in the legal domain. As an intern, you will collaborate with experienced AI researchers and engineers to solve enterprise-grade AI problems across Content AI, Document AI, and the applications built on top of them, including evaluating and fine-tuning both open-source and closed-source models, improving retrieval and reasoning quality, and testing AI systems for accuracy, reliability, and performance. This is a hands-on opportunity to contribute to real-world AI applications, tackle fundamental challenges in deep learning, and gain exposure to production-grade AI systems. As an i

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 MDAO Engineer to develop the engineering models, software, and optimization workflows that enable rapid, rigorous vehicle design across Mach's product suite. You will help shape an expanding MDAO capability and build the tools that Conceptual Design and Operational Performance engineers use to evaluate vehicle concepts and make better design decisions. This is a software and model development role grounded in aerospace engineering. You will create reusable multidisciplinary analysis capability, connect models across vehicle disciplines, and advance the optimization and automation methods that make design studies faster and more reliable. You will also work directly with the engineers using these tools, including applying new capabilities to real vehicle studies when needed. This role is part of MDAO within Mach's Vehicle Design and Performance organization, alongside Conceptual Design and Operational Performance. Conceptual Design creates, Operational Performance assesses, and MDAO enables. You will collaborate across Aerodynamics, Propulsion, Structures, GNC, and other engineering teams, with opportunities to influence both the technical direction of our MDAO capability and the vehicles it supports. The ideal candi

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Drive the evolution of high-performance, energy-efficient storage solutions built specifically for hyperscale environments. As a key technical contributor in Everpure’s Hyperscale Line of Business, you will collaborate directly with hyperscale customers, ODM/JDM partners, and internal engineering teams to translate complex requirements into robust, deployment-ready hardware . Your goal is to maximize storage platform density and total-cost-of-ownership (TCO) optimization by taking cutting-edge designs from initial architecture through rigorous validation to full-scale production . WHAT YOU'LL DO Lead End-to-End Hardware Qualification: Plan, implement, and automate hardware design validation projects in partnership with hyperscale customers and ODM/JDM vendors to guarantee production readiness, signal integrity, and long-term reliability . Drive System Hardening and Debugging: Perform root-cause failure analysis, analyze high-speed protocol captures, and resolve complex electrical, thermal, and firmware-hardware interaction issues to maintain peak platform availability . Optimize Hardware Architecture: Review high-speed bus interfaces (PCIe, Ethernet, Serial Busses) and evaluate thermal cooling trade-offs to ensure sub-system components meet rigorous hyperscale efficiency standards . Accelerate Cross-Functional Productization: Partner across software engineering, operations, and manufacturing teams to integr

About DevRev At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries. About the role The Customer Engineer sits inside our Customer Experience (CX) team and is a customer-facing engineer who resolves the platform customer bugs that need an actual code change and builds important customer-facing features. Our CX model pairs two roles — Customer Outcomes (relationship and account ownership) and Customer Engineer (code and incidents) — both powered by Computer, our AI engine that handles L1–L4 diagnosis instantly, 24/7. You are not a back-room ticket-closer. You are the subject-matter expert for a specific product area, lead the technical response when things break, and ship real fixes and features. Every fix you ship feeds back into Computer, so the next identical issue resolves automatically. Responsibilities Product-area specialist Own deep expertise in one area of the product (e.g. integrations, workflows, search/AI, platform). Be the go-to escalation point for issues in that area, across accounts. Keep Computer's knowledge sharp for your area — feed in fixes, edge cases, and known issues. Spot recurring problems and drive them to a permanent fix or product change, partnering with the core Engineering team that owns the area. Translate customer technical needs into clear product feedback fo