Role Description To keep pace in this exciting, multi-disciplinary field, we’re looking for a Hardware Design Engineer. You will be in a unique position to have ownership of a wide-ranging list of hardware system development aspects, including: - Schematics - PCB layout and mechanical design - Component selection - Collaborating with operations in AVL management - EVT/DVT/PVT testing and certification You will also have an opportunity to make an impact on design and bringup of development systems, reference platforms and volume products. This hands-on multi-disciplinary role provides a unique opportunity to interact directly with ASIC, software, product and operations teams to gather necessary requirements and specifications, and develop industry-leading AI Inference HW products. Qualifications - B.S. degree in Electrical or Computer Engineering. - 7+ years of hardware engineering and experience with product-cycle aspects therein. - Hands-on experience in all aspects of schematic capture, PCB design, as well as understanding signal integrity, mechanical and thermal design areas. - Experience in part selection, AVL management and working with manufacturing operations teams. - Solid understanding of CPU subsystems and modern power subsystem designs as well as expertise in HW bringup. - Previous involvement in representing engineering considerations in contract manufacturing relationships. - Demonstrable experience with EVT, DVT, PVT testing and certification processes is a plus. - Self-starter and highly-motivated to work in a dynamic start-up environment. Requirements - Put people first. We only succeed when our people succeed. - Ethics and integrity always; Being open, honest, and respectful of everyone. - Think Big. Be ambitious and have audacious goals. - Aim for excellence. Quality and excellence count in everything we do. - Own it and get it done. Results matter! - Make each person better together, than they would be as an individual. - Embrace each others’ differences, and embrace that there will be differences. Benefits - Comprehensive benefits - Competitive compensation - Flexible spending options - Recognition programs Company Description Tensordyne is an AI system solution company that builds very high-performance, low-power generative AI inference systems. Our mission, through the creation of custom silicon, hardware and software, is to enable multimodal Generative AI inference acceleration at scale, with safe, sustainable, high-performance systems for our hyperscaler and neocloud data center customers. Tensordyne is a well funded, fast-paced startup company with headquarters in both Sunnyvale, CA, and Munich, Germany. We also have many talented team members working remotely across North America and Europe. Tensordyne is an equal opportunity employer. We believe that a diverse team is better at tackling complex problems and coming up with innovative solutions.

Role Description To keep pace in this exciting, multi-disciplinary field, we’re looking for a Hardware Design Engineer. You will be in a unique position to have ownership of a wide-ranging list of hardware system development aspects, including: - Schematics - PCB layout and mechanical design - Component selection - Collaborating with operations in AVL management - EVT/DVT/PVT testing and certification You will also have an opportunity to make an impact on design and bringup of development systems, reference platforms and volume products. This hands-on multi-disciplinary role provides a unique opportunity to interact directly with ASIC, software, product and operations teams to gather necessary requirements and specifications, and develop industry-leading AI Inference HW products. Qualifications - B.S. degree in Electrical or Computer Engineering. - 2+ years of hardware engineering and experience with product-cycle aspects therein. - Hands-on experience in all aspects of schematic capture, PCB design, as well as understanding signal integrity, mechanical and thermal design areas. - Experience in part selection, AVL management and working with manufacturing operations teams. - Solid understanding of CPU subsystems and modern power subsystem designs as well as expertise in HW bringup. - Previous involvement in representing engineering considerations in contract manufacturing relationships. - Demonstrable experience with EVT, DVT, PVT testing and certification processes is a plus. - Self-starter and highly-motivated to work in a dynamic start-up environment. Requirements - Own multiple aspects of hardware system engineering of Tensordyne’s flagship AI products. - Gather requirements and specifications from engineering, product and operations teams for planning and implementing all hardware system deliverables, from lab bringup artifacts to shipping products. - Hands on responsibility for the schematic capture, PCB design and other aspects of the hardware system around a complex custom AI ASIC. - Plan for Compliance, Validation and FMEA Analysis for products. - Drive hardware parts selection and vendor qualification processes in collaboration with manufacturing operations. Benefits - Comprehensive benefits - Competitive compensation - Flexible spending options - Recognition programs Company Description Tensordyne is an AI system solution company that builds very high-performance, low-power generative AI inference systems. Our mission, through the creation of custom silicon, hardware and software, is to enable multimodal Generative AI inference acceleration at scale, with safe, sustainable, high-performance systems for our hyperscaler and neocloud data center customers. Tensordyne is a well funded, fast-paced startup company with headquarters in both Sunnyvale, CA, and Munich, Germany. We also have many talented team members working remotely across North America and Europe. Tensordyne's culture was built on the following values: - Put people first. We only succeed when our people succeed. - Ethics and integrity always; Being open, honest, and respectful of everyone. - Think Big. Be ambitious and have audacious goals. - Aim for excellence. Quality and excellence count in everything we do. - Own it and get it done. Results matter! - Make each person better together, than they would be as an individual. - Embrace each others’ differences, and embrace that there will be differences.

Role Description Together AI is building its infrastructure footprint at scale, and this role is central to making that happen. As an Infrastructure Design Engineer, you will own the design, planning, and technical execution of whitespace environments (where servers, storage, and network equipment are deployed) across our AI data center portfolio. You are the in-house expert who ensures that rack layouts, power distribution, cooling strategy, structured cabling, and physical infrastructure design are all built to support the density, redundancy, network and reliability requirements of large-scale AI GPU clusters. You will serve as the lead engineer across our DC portfolio, creating white space designs, reviewing partner and contractor designs, and ensuring plans are executed to spec. You will work closely with the Infrastructure Strategy, Infrastructure Engineering, and Operations teams, as well as external MEP consultants, general contractors, and data center partners. This is a technical role on a small, high-accountability team where your judgment directly shapes our ability to bring capacity online on time and to spec. Responsibilities - Architect HPC clusters by designing whitespace layouts, including rack placement, aisle configuration, hot/cold aisle containment, equipment density, and airflow strategy for high-density GPU deployments. - Collaborate with electrical and mechanical engineers to integrate power and cooling infrastructure into whitespace environments. - Collaborate with Network Engineering to define and validate physical layer requirements (structured cabling, pathway planning, port density) for high-speed AI cluster interconnects, ensuring design compatibility with both physical and logical network architectures. - Advise Data Center build teams/contractors to ensure data center build out matches design and architecture specifications. Provide direction to optimize performance, scalability, and cost-effectiveness. - Develop and maintain CAD/BIM drawings, schematics, capacity planning models, and technical documentation to support site design, construction, operations, and audits of data center white space. - Own capacity planning within the white space through modeling that incorporates growth, utilization, and infrastructure scaling. - Validate electrical and mechanical load distribution across whitespace fit-outs, including review of striping plans and upstream load balancing under normal and failover conditions. - Partner with Infrastructure Strategy and Operations by providing design review and technical guidance during the white space fit-out phase. - Drive continuous improvement in design standards, build processes, and quality assurance, including identifying opportunities to improve infrastructure reliability, reduce time-to-rack, and apply new technologies such as liquid cooling and high-density power architectures. - Ensure all designs comply with applicable standards including TIA-942, Uptime Institute Tier guidelines, ASHRAE thermal recommendations, and relevant local codes and safety regulations. Qualifications - 7+ years of experience in data center design, critical facilities engineering, or infrastructure delivery, with deep technical knowledge across the full stack (power, cooling, network) as it pertains to white space design and implementation. - Demonstrated experience serving as an owner's engineer or resident engineer, including reviewing consultant drawings, managing contractor compliance, and interpreting construction specifications and submittal documents. - Strong working knowledge of how facility electrical (UPS, switchgear) and cooling (CRAC/CRAH) infrastructures interface with, and support, high-density white space systems (PDUs, in-row cooling, CDUs, RPPs). - Proficiency with CAD/BIM tools such as AutoCAD, Revit, or equivalent; ability to produce and review technical drawings, schematics, and capacity models. - Working knowledge of industry standards including TIA-942, Uptime Institute Tier classifications, ASHRAE thermal guidelines, and ANSI/BICSI; familiarity with local building codes and safety regulations. - Proven ability to manage multiple concurrent projects across different sites and work effectively with MEP engineers, general contractors, and equipment vendors in fast-moving environments. - Willingness to travel to data center sites as required for technical due diligence, design inspections, and final white space deployment sign-off. Nice to Have - Experience with liquid cooling systems for high-density GPU clusters, including direct liquid cooling (DLC), immersion cooling, or rear-door heat exchangers, and familiarity with associated power and plumbing infrastructure. - Background in hyperscale or AI-native infrastructure deployments, including reference architecture validation, and the development of final design acceptance criteria at scale. - Familiarity with DCIM platforms, telemetry and monitoring systems, and infrastructure-as-code tooling for capacity and utilization tracking. Benefits - Competitive compensation. - Startup equity. - Health insurance. - Flexibility in terms of remote work. - The US base salary range for this full-time position is: $210-250K + equity + benefits. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

• Conduct research on existing LPG regulator designs, safety standards, and common failure points • Identify gaps and opportunities for innovation in LPG safety systems • Conceptualize and design an improved LPG regulator with safety-first principles • Develop a **draft Business Model & Value (BMV) deck** outlining the problem, solution, market potential, and value proposition • Create a **mock prototype / technical design / architecture** of the proposed solution (no physical testing with LPG or flammable gases permitted) • Collaborate with internal mentors and incorporate feedback into design iterations • Document findings, design approach, and recommendations in a structured format