You will design end-to-end enterprise solutions, guide customers through technical decision-making, and partner with sales to expand Corsair's footprint in high-performance computing and AI-driven workloads. The ideal candidate merges advanced systems knowledge with customer-facing expertise to shape solutions, support sales, and accelerate adoption of Corsair's enterprise platforms.

**Key Responsibilities:*

• Platform & Product Strategy: Collaborate with product management, engineering teams, and HPC integration partners to shape the roadmap for workstations and HPC platforms. Identify and evaluate emerging technologies, market trends, and evolving workloads to inform product strategies and unlock new business opportunities.

• New Product Introduction (NPI): Develop and drive NPI readiness plans including technical documentation, sales enablement resources, and customer-facing solution guides. Ensure smooth product rollout by aligning engineering, marketing, support, and ecosystem partners.

• AI & Developer Ecosystem Engagement: Align with AI software partners, SDK/tool providers, and developer communities to build value-added integrations and optimize emerging AI workloads on Corsair platforms and provide architecture-level guidance to support AI, ML, and HPC applications.

• Customer Solutions & Technical Leadership: Design system- and application-level solutions based on customer requirements; perform diagnostics, optimization, and version upgrade management and act as a technical subject matter expert for enterprise accounts, providing advanced troubleshooting guidance and deployment support.

• Client Relationship & Escalation Management: Build and maintain strong customer relationships through effective communication, pre-sales support, and solution clarity. Manage hardware escalations by coordinating with internal teams and vendor partners to ensure timely issue resolution and serve as a trusted hardware and technical SME across internal and external engagements.

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or related field; equivalent practical experience (10+ years) considered.

• Extensive experience in high-performance computing, workstation architecture, or enterprise systems design.

• Strong background in Solutions Architecture, Sales Engineering, Product Marketing, or ODM platform development.

• Deep knowledge of Linux ecosystems, software build pipelines, and GPU computing technologies (NVIDIA CUDA, AMD ROCm, PCIe, InfiniBand).

• Excellent communication and leadership skills, with the ability to translate complex technical concepts into clear business value.

For roles that are based at our headquarters in Milpitas, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future.

Annual Salary Range $165,000—$180,000 USD

XML job scraping automation by YubHub

Your expertise in high-speed, high-density board design enables you to tackle complex challenges, from 200G signaling to intricate HDI stack-ups. You are passionate about optimizing performance and reliability, and you possess a deep understanding of the full hardware development cycle—from schematic entry to final deliverables.

You are proficient with industry-standard EDA tools and comfortable managing libraries and constraints, ensuring accuracy and efficiency throughout the design process. Your strong communication skills enable you to share ideas, learn from others, and drive progress within a diverse team.

Design and optimize PCB layouts for cutting-edge HAPS hardware platforms, focusing on high-speed and high-density applications.

Collaborate with global teams to perform placement of small and large PCBAs, ensuring efficient use of space and signal integrity.

Execute complex routing tasks across multi-layer boards (from 8–16 layers up to 50+ layers), including blind and buried vias.

Work closely with colleagues on stack-up design and collaboration, contributing to robust and reliable board architectures.

Generate and manage PCB deliverables, including manufacturing files, BOMs, and assembly documentation.

Conduct DFx (Design for Excellence) checks, ensuring manufacturability, reliability, and compliance with industry standards.

Maintain and update EDA libraries, supporting rapid development and accurate component integration.

Participate in schematic entry, constraint management, and overall hardware design workflow.

Enable Synopsys to deliver industry-leading FPGA-based prototyping systems for semiconductor innovation.

Enhance product reliability and performance through meticulous PCB design and layout optimization.

Accelerate development cycles by collaborating across time zones and ensuring seamless deliverables.

Support high-speed signaling and connectivity, powering next-generation AI, automotive, and IoT solutions.

Drive improvements in manufacturability and quality, reducing costs and increasing customer satisfaction.

Contribute to the global success of HAPS hardware platforms, making a tangible difference in the tech industry.

XML job scraping automation by YubHub

The Hugging Face ML Cloud team is working through strategic collaborations with the most used Clouds (AWS, GCP, Azure, Cloudflare), AI Accelerators (incl. NVIDIA, AMD, Intel, Gaudi, Inferentia, TPU), and Systems (Dell, Nutanix), to make it easy for the community to use Hugging Face models and libraries on these compute platforms.

This role is not a marketing role, or a business development role. Your impact will be driving visibility and usage of integrations with strategic partners, through activities including:

• Publishing technical blog posts
• Contributing documentation and code examples
• Speaking to business and technical audiences at partner conferences,
• Participating in, or producing webinars
• Building and evangelizing demos
• Leading GTM conversations with strategic partners.

You will be at the forefront of Generative AI (and how to build practical stuff with open source). You will work hand in hand with the most important companies in AI. You will enjoy a lot of autonomy and full creative control, with the goal to have 10x more impact than a similar role at a big tech corporation.

About You

You are passionate about ML Engineering, building practical AI applications, putting them in production, and accelerating them to the best of the Cloud ability. You love learning new challenging engineering concepts and technologies, and discussing them with engineers. You appreciate a good Developer Experience, and take pride in your code being easy to understand. You are a great communicator and educator, comfortable (as much as one can be!) with public speaking to technical audiences. You love engaging with the ML community in a positive and helpful way. Existing engagement in social platforms (GitHub, LinkedIn, Twitter, Reddit, etc) or other communication/education channels is expected. Having experience in Open Source development will be helpful.

XML job scraping automation by YubHub

About the Role

We're looking for a software engineer to join our team at OpenAI to help us build out and secure our critical computing infrastructure, focusing on trusted computing and cryptography at scale.

Responsibilities

• Write high-quality, performance-critical code in Rust and Python.
• Work alongside researchers, engineers, and security experts to integrate and scale advanced cryptographic techniques into our production and research systems.
• Write foundational libraries to support cryptographic operations and ensure security best practices are embedded into our infrastructure.
• Design, implement, and maintain secure key management systems for production environments.
• Design and deploy systems that help us trust our infrastructure, using security primitives and technologies such as tpm2, Secure Boot, Nitro Enclaves, confidential computing, Intel SGX, and AMD-SEV.
• Research, design, and implement operating system-level security measures, such as remote attestation, runtime TPM measurement, and host integrity verification.

Requirements

• Have extensive experience as a software engineer working on global-scale production systems.
• Are experienced in deploying cryptographic systems at scale, with a strong understanding of production cryptographic key management.
• Have familiarity with security primitives, including but not limited to TPM2, Secure Boot, secure enclaves, and confidential computing platforms.
• Have professional experience programming in Python and proficiency in Rust and/or C/C++.
• Own problems end-to-end and are willing to acquire any missing knowledge to get the job done.
• Have experience architecting, observing, and debugging production distributed systems.
• Exhibit a humble attitude, eagerness to help colleagues, and a commitment to the team’s success.
• Are self-directed and enjoy identifying the most important problems to tackle.
• Have experience rebuilding or significantly refactoring production systems to accommodate rapidly increasing scale.
• Have a good intuition for when off-the-shelf solutions will work and can quickly build tools to accelerate workflows when they won’t.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
• 401(k) retirement plan with employer match
• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
• Mental health and wellness support
• Employer-paid basic life and disability coverage
• Annual learning and development stipend to fuel your professional growth
• Daily meals in our offices, and meal delivery credits as eligible
• Relocation support for eligible employees
• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives and expertise that make up our team.

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Member of Technical Staff, Evaluations Engineer to help build the next wave of capabilities of our personalized AI assistant, Copilot. We’re looking for someone who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective.

About the Role

We are looking for a highly skilled and experienced engineer to join our Evaluations Engineering team. As a Member of Technical Staff, Evaluations Engineer, you will be responsible for developing and tuning the pretraining scalable software for Nvidia GB200 72NVL CX8 and AMD MIxxx architectures. You will also be responsible for benchmarking GB200 and AMD MIxxx GPU clusters, gathering data and insights to develop the pretraining compute roadmap, and caring deeply about conversational AI and its deployment.

Accountabilities

• Develop and tune the pretraining scalable software for Nvidia GB200 72NVL CX8 and AMD MIxxx architectures.
• Benchmark GB200 and AMD MIxxx GPU clusters.
• Gather data and insights to develop the pretraining compute roadmap.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Technical skills:

• Experience with generative AI.
• Experience with distributed computing.

Personal attributes:

• Enjoy working in a fast-paced, design-driven, product development cycle.
• Embody our Culture and Values.

Benefits

• Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year.
• Software Engineering IC6 – The typical base pay range for this role across the U.S. is USD $163,000 – $296,400 per year.

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Member of Technical Staff, Evaluations Engineer to help build the next wave of capabilities of our personalized AI assistant, Copilot. We’re looking for someone who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective.

About the Role

We are looking for a highly skilled and experienced Evaluations Engineer to join our team. As an Evaluations Engineer, you will be responsible for developing and tuning the pretraining scalable software for Nvidia GB200 72NVL CX8 and AMD MIxxx architectures. You will also be responsible for benchmarking GB200 and AMD MIxxx GPU clusters, gathering data and insights to develop the pretraining compute roadmap, and caring deeply about conversational AI and its deployment.

Accountabilities

• Develop and tune the pretraining scalable software for Nvidia GB200 72NVL CX8 and AMD MIxxx architectures.
• Benchmark GB200 and AMD MIxxx GPU clusters.
• Gather data and insights to develop the pretraining compute roadmap.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Technical skills:

• Experience with generative AI.
• Experience with distributed computing.

Personal attributes:

• Enjoy working in a fast-paced, design-driven, product development cycle.
• Embody our Culture and Values.

Benefits

• Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year.
• Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location.

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Member of Technical Staff, Reinforcement Learning Systems to help build the world's most advanced reinforcement learning systems. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology.

About the Role

We are responsible for designing, developing, and operating the large-scale reinforcement learning systems that power several use cases across the Superintelligence team. We are looking for individuals who can contribute to cutting-edge research and help bridge the gap between cutting-edge research and robust, production-grade distributed systems. The ideal candidate has both distributed systems expertise and a scientific mindset and will be able to build complex and scalable systems from the ground up, identify and resolve performance bottlenecks, debug complex, cross-system issues with extremely high attention to detail, and contribute to solving scientific and research challenges.

Accountabilities

• Develop and tune the pretraining scalable software for Nvidia GB200 72NVL CX8 and AMD MIxxx architectures.
• Benchmark GB200 and AMD MIxxx GPU clusters.
• Gather data and insights to develop the pretraining compute roadmap.

The Candidate we're looking for

Experience:

• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Technical skills:

• Experience with generative AI.
• Experience with distributed computing.

Personal attributes:

• A high degree of craftsmanship and pay close attention to details.
• Enjoy working in a fast-paced, design-driven, product development cycle.

Benefits

• Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year.
• There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area.

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Principal Software Engineer at their Redmond office. This role sits at the heart of building the next generation platform for Bing and Microsoft AI. You'll work directly with stakeholders to determine requirements, lead the identification of dependencies and the development of design documents, and drive project plans, release plans, and work items.

About the Role

The Microsoft AI Web Data team is looking for a Principal Software Engineer to help us build the next generation platform for Bing and Microsoft AI. In Web Data, we are on a mission to build the most vast, safe, and accurate model of the Web to power search and AI. We are pushing frontiers of scalability and index quality by creating models and systems for discovering, storing, processing Web content, protecting our users & platform from Spam, Scams, and malware by keeping a step ahead of bad actors, and operating AI solutions.

Accountabilities

• Partner with stakeholders within Safety, Web Data, and partner teams, to determine requirements, lead the identification of dependencies and the development of design documents, and drive project plans, release plans, and work items.
• Lead by example, and mentor other engineers to produce extensible, scalable, high performance, resilient, and maintainable design and code.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Technical skills:

• Experience with processing Terabyte to Petabyte scale data with efficient algorithms for feature engineering, and experience with optimizing for high inference ROI and deploying AI/ML models including, but not limited to, Decision Tree and Forest models, encoder only and generative LLM/SLM models, multi-modal models, on NVIDIA, AMD, TPU or equivalent accelerators.

Personal attributes:

• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.

Benefits

• Competitive salary and benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Member of Technical Staff, Reinforcement Learning Systems to help build the world's most advanced reinforcement learning systems. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology.

About the Role

We are responsible for designing, developing, and operating the large-scale reinforcement learning systems that power several use cases across the Superintelligence team. We are looking for individuals who can contribute to cutting-edge research and help bridge the gap between cutting-edge research and robust, production-grade distributed systems. The ideal candidate has both distributed systems expertise and a scientific mindset and will be able to build complex and scalable systems from the ground up, identify and resolve performance bottlenecks, debug complex, cross-system issues with extremely high attention to detail, and contribute to solving scientific and research challenges.

Accountabilities

• Develop and tune the pretraining scalable software for Nvidia GB200 72NVL CX8 and AMD MIxxx architectures.
• Benchmark GB200 and AMD MIxxx GPU clusters.
• Gather data and insights to develop the pretraining compute roadmap.

The Candidate we're looking for

Experience:

• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Technical skills:

• Experience with generative AI.
• Experience with distributed computing.

Personal attributes:

• A high degree of craftsmanship and pay close attention to details.
• Enjoy working in a fast-paced, design-driven, product development cycle.

Benefits

• Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year.
• There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Member of Technical Staff, Reinforcement Learning Systems to help build the world's most advanced reinforcement learning systems. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology.

About the Role

We are responsible for designing, developing, and operating the large-scale reinforcement learning systems that power several use cases across the Superintelligence team. We are looking for individuals who can contribute to cutting-edge research and help bridge the gap between cutting-edge research and robust, production-grade distributed systems. The ideal candidate has both distributed systems expertise and a scientific mindset and will be able to build complex and scalable systems from the ground up, identify and resolve performance bottlenecks, debug complex, cross-system issues with extremely high attention to detail, and contribute to solving scientific and research challenges.

Accountabilities

• Develop and tune the pretraining scalable software for Nvidia GB200 72NVL CX8 and AMD MIxxx architectures.
• Benchmark GB200 and AMD MIxxx GPU clusters.
• Gather data and insights to develop the pretraining compute roadmap.

The Candidate we're looking for

Experience:

• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Technical skills:

• Experience with generative AI.
• Experience with distributed computing.

Personal attributes:

• A high degree of craftsmanship and pay close attention to details.
• Enjoy working in a fast-paced, design-driven, product development cycle.

Benefits

• Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year.
• There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area

XML job scraping automation by YubHub