As an HPC Network Engineer at Mistral AI, you will design, deploy, and optimize high-performance network infrastructures for our HPC clusters and AI workloads. You will collaborate with cross-functional teams to ensure seamless integration of networking solutions with our compute, storage, and cloud platforms.
\nKey Responsibilities:
\nDesign, implement, and optimize high-performance, low-latency network architectures for HPC environments, including InfiniBand, RoCE, and high-speed Ethernet.
\nCollaborate with HPC, DevOps, and AI research teams to integrate networking solutions with compute clusters, storage systems, and cloud platforms.
\nTroubleshoot and resolve complex network issues to minimize downtime and maximize performance.
\nFollow escalation procedures and ensure solutions are provided in a timely manner. Ensure escalation is progressing accordingly with the given severity.
\nMonitor network performance, capacity, and security, implementing improvements as needed.
\nStay updated with emerging HPC networking technologies and best practices, and drive their adoption within Mistral.
\nDevelop and maintain documentation for network architectures, configurations, and operational procedures.
\nQualifications & Experience:
\nTechnical Skills:
\nProficiency in HPC networking protocols (InfiniBand, RoCE, TCP/IP, MPLS).
\nHands-on experience with network hardware (switches, routers, NICs) from vendors like Mellanox, Cisco, or Arista.
\nKnowledge of network automation tools (Ansible, Python scripting).
\nFamiliarity with HPC environments, parallel computing, and distributed systems.
\nExperience with network security best practices.
\nSoft Skills:
\nStrong problem-solving and analytical skills.
\nAbility to thrive in a fast-paced, collaborative environment.
\nExcellent communication skills (English required; French is a plus).
\nTeaching and documentation skills to ensure knowledge is archived and distributed to team members.
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\nThey work on assignments like designing, developing, and troubleshooting software, leveraging the state-of-the-art technologies like AI/ML, GenAI and Cloud. Their critical contributions enable world-wide EDA designers to extend the frontiers of semiconductors and chip development.
\nResponsibilities
\nImpact
\nRequirements
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\nYou’ll join the ZeBu Compiler Team,a group of passionate engineers dedicated to advancing emulation technology for the world’s leading semiconductor companies. The team focuses on developing innovative compilation algorithms, scalable software solutions, and robust infrastructure to enable efficient verification of massive hardware designs. Collaboration, knowledge sharing, and a commitment to excellence define the team’s culture, empowering each member to make a meaningful impact.
\nRewards and Benefits
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\nWe are seeking a hands-on Senior System Software Engineer to join our Autonomous Vehicles Platform team. As part of our team, you will work on our Autonomous Driving Platform software, implementing performant and scalable solutions for data collection and autonomous vehicle fleets.
\nOur team is responsible for developing platform and middleware features for self-driving cars. This includes software that interacts with various sensors including Cameras, LIDAR, RADAR, GPS, IMU, Vehicle CAN etc. We are seeking candidates with interests in inventing, developing, and maintaining application framework and tools on multi-computer and heterogeneous architectures.
\nThe role encompasses working with various teams across the stack, from platform and embedded software to cloud infrastructure, underpinned by safety and performance. It extends an opportunity to contribute to the technology that will drive the cars of the future!
\nWhat you'll be doing:
\nWhat we need to see:
\nWays to stand out from the crowd:
\nYou will also be eligible for equity and benefits.
\nApplications for this job will be accepted at least until March 13, 2026.
\nThis posting is for an existing vacancy.
\nNVIDIA uses AI tools in its recruiting processes.
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\nWhat You’ll Be Doing:
\nThe Impact You Will Have:
\nWhat You’ll Need:
\nWho You Are:
\nThe Team You’ll Be A Part Of:
\nYou will join the Synopsys Proteus OPC modeling team, a group dedicated to advanced regression and etch modeling solutions. The team’s core focus is on developing and optimizing model components, exploring new modeling techniques, and modernizing infrastructure to address challenging problems in advanced software engineering. You’ll work alongside experts in computational lithography and software development, collaborating to deliver industry-leading solutions for semiconductor manufacturing.
\nWe Are:
\nAt Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.
\nRewards and Benefits:
\nWe offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.
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\nWe are seeking an experienced Machine Learning Systems Engineer to join our Encodings and Tokenization team at Anthropic. This cross-functional role will be instrumental in developing and optimising the encodings and tokenization systems used throughout our Finetuning workflows. As a bridge between our Pretraining and Finetuning teams, you'll build critical infrastructure that directly impacts how our models learn from and interpret data. Your work will be foundational to Anthropic's research progress, enabling more efficient and effective training of our AI systems while ensuring they remain reliable, interpretable, and steerable.
\nResponsibilities:
\nYou May Be a Good Fit If You:
\nStrong Candidates May Also Have Experience With:
\nLogistics
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\nLocation
\nSan Francisco
\nEmployment Type
\nFull time
\nLocation Type
\nHybrid
\nDepartment
\nScaling
\nCompensation
\nThe base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.
\nBenefits
\nAbout the Team
\nOpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI’s supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI.
\nAbout the Role
\nAs an Engineer on our hardware optimization and co-design team, you will co-design future hardware from different vendors for programmability and performance. You will work with our kernel, compiler and machine learning engineers to understand their unique needs related to ML techniques, algorithms, numerical approximations, programming expressivity, and compiler optimizations. You will evangelize these constraints with various vendors to develop and influence future hardware architectures towards efficient training and inference on our models. If you are excited about efficiently distributing a large language model across devices, dealing with and optimizing system-wide/rack-wide networking bottlenecks and eventually tailoring the compute pipe and memory hierarchy of the hardware platform, simulating workloads at different abstractions and working closely with our partners, this is the perfect opportunity!
\nIn this role, you will:
\nYou might thrive in this role if you have:
\nThese attributes are nice to have:
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\nWe are the Audi Revolut F1 Team.
\nAudi will compete in the FIA Formula 1 World Championship starting in 2026.
\nThe team has three locations. Audi's Motorsport Competence Center in Neuburg, Germany, is considered one of the most modern of its kind in Europe.
\nThe Formula 1 Factory of Audi Motorsport AG in Hinwil (Switzerland) is known for its innovative technologies and passion for racing.
\nThe Audi Motorsport Technology Centre, UK, is in its launch phase and growing continuously. Our power unit comes from Neuburg, while Hinwil is responsible for chassis development and race operations.
\nYour mission
\nYour profile
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\nEvery lap is a statement, every start a promise. This is what defines us.
\nTake a closer look.
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\nMicrosoft AI are looking for a talented Principal Software Engineer(Data) at their Beijing office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising advertising technology. You'll work directly with leadership to shape the company's direction in the advertising measurement ecosystem.
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\nAs a Principal Software Engineer(Data), you will provide critical technical leadership across conversion and attribution, driving the continuous expansion of conversion signal coverage, the evolution of measurement logic, and systematic improvements in system reliability. Operating under complex business constraints and within a rapidly evolving industry landscape, the role requires balancing measurement accuracy, platform stability, and long-term extensibility. In close collaboration with product, modeling, and engineering partners, this position delivers stable, scalable conversion and attribution capabilities that create sustained business value.
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