Role Description As a Systems Engineer III, you will lead the development, integration, and delivery of complex hybrid systems involving software, networking, and hardware. You will own efforts from specifications through rollout, ensuring reliability, scalability, and performance throughout the system lifecycle. In this role, you will help shape resilient enterprise-grade solutions while serving as a key technical liaison across cross-functional teams. - Lead end-to-end systems engineering efforts, including requirements analysis, architecture design, implementation, testing, and deployment. - Integrate network operating systems, application software, and hardware devices into cohesive, functional systems. - Oversee development cycles for hybrid web, software, and hardware products, ensuring quality, timelines, and adherence to engineering best practices. - Provide technical leadership, troubleshooting, and performance optimization for complex systems. - Collaborate with stakeholders to balance technical solutions with cost, scheduling, and organizational considerations. Qualifications - Demonstrates a dedication to upholding and enhancing STI Federal’s core values. - Excels in a collaborative team environment, fostering positive relationships and contributing to shared goals with professionalism and mutual respect. - Demonstrates strong abilities in systems architecture, systems integration, lifecycle management, and troubleshooting of complex hybrid systems. - Proficiency in network operating systems, programming/scripting, hardware integration, and system testing methodologies. Requirements - Education: Bachelor’s degree in an engineering discipline. - Experience: Minimum of 7 years of professional experience in systems engineering. - Clearance: Secret clearance, at a minimum, or ability to obtain one. Preferred Qualifications - Education: Advanced degree or relevant industry certifications (e.g., Network+, Security+, AWS/Azure certifications). - Experience: Experience leading large-scale systems engineering efforts, managing cross-functional teams, and supporting enterprise or government environments. Compensation & Work Environment - Salary Range: Dependent on experience. - Environment: Remote, hybrid, on-site, or other environment details per hiring manager. Company Description STI Federal, a Sault Tribe Inc. (“STI Federal”) company, drives growth through strategic government contracting, fulfilling its mission to support the Sault Ste. Marie Tribe of Chippewa Indians. The company reinvests 100% of its profits into tribal businesses or community programs, enhancing the well-being of nearly 50,000 tribal citizens.

• Du verwaltest und optimierst Oracle Datenbanken in komplexen Kundenumgebungen. • Du installierst, konfigurierst und wartest Oracle Datenbanksysteme. • Du entwickelst und implementierst Backup- und Recovery-Strategien. • Du führst Performance-Analysen, Tuning-Maßnahmen und Fehlerbehebungen durch. • Du erstellst Skripte zur Automatisierung von Aufgaben und kooperierst mit anderen IT-Teams, um die Integrität und Sicherheit der Datenbanken zu gewährleisten.

Role Description To keep developing world-class AI Inference compute systems (from silicon to software), we're looking for an experienced Technical Product Director who is passionate about AI inference compute in datacenters, across the entire stack (hardware and software). We need a self-starter to work directly with one of our founders to help focus AI compute product efforts that will define the future of inference at customers of Tensordyne. The successful candidate will have a years-long background in engineering enabling them to have a deep technical understanding of most if not all dimensions of the product, along with experience in product management, business development and spot great communication and networking skills. If that's you, then we'd love to talk to you! Where you'd help us: - Leading the definition of Tensordyne's next generation of AI inference compute products, with an innovative yet pragmatic and well-communicated technology roadmap in alignment with and with influence on the company’s GTM strategy. - Engaging with our external technology partners, customers, AI industry researchers and internal engineering & business stakeholders to coalesce insights and requirements into winning AI product plans and strategies. - Researching, defining and driving essential competitive analysis, key metrics tracking, cost modeling, customer demos, and product release schedules to ensure Tensordyne's superiority to alternative solutions. - Overseeing and ensuring the success of key customers' projects, anticipating their software and hardware needs, while reacting as necessary to pertinent feedback. - Working hand-in-hand with marketing to design marketing campaigns with the goal of promoting Tensordyne's AI technology, products and demonstrating thought leadership. Qualifications - Deep in-field engineering experience across multiple dimensions of our product stack (AI models (text, audio, image, video), AI-centric applications, AI inference KPI optimization, silicon design, hardware design, compilers, inference servers, rack-mounted compute systems, datacenter networking, datacenter storage, multimedia processing, datacenter systems, cloud computing, datacenter maintenance/telemetry). - Strong product mindset/technical product management experience with a passion for finding the perfect balance between customer-centric product design & engineering, and driving disruptive innovation within the boundaries of the customer. - Real-world, in-field experience of how datacenter AI compute solutions and their (newcomer) vendors are vetted, selected, procured, set up, managed, maintained, monitored and served. - Exceptionally strong communication, presentation and interpersonal collaboration skills. - A track record of producing and driving technology product roadmaps from early requirements gathering to cost modeling, to production and commercialization with global customers (fine if this was from an engineering role, as an IC strongly involved in vast areas of similar products). - An understanding of modern machine learning architectures and applications with a keen interest in optimizing their performance and an intrinsic passion and drive to gain an exhaustively holistic understanding of all parts involved end-to-end. - Strong project management mindset - the successful candidate is a natural organizer, with customer empathy and able to multitask and prioritize within a demanding environment. - BS or MS degree in Computer Science, Computer Engineering, or similar field. 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. We are at the leading edge of advancing the latest research and product improvements for generative AI inference solutions that will make AI even more advantageous for compelling new generative AI applications. 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. We take care of our people and their families with comprehensive benefits, competitive compensation, flexible spending options, and recognition programs, because building category-defining technology starts with a healthy, supported team. Come join us as we shape the future of multimodal generative artificial intelligence!

• Leads the delivery of analytical and consultative services across all phases of program execution, including business requirements analysis, software design, system and performance testing, and implementation. • Plans, directs, and coordinates activities in areas such as electronic data processing, information systems, systems analysis, and software development. • Reviews and evaluates program resources, including budget and schedule considerations. • Analyzes user needs to define functional requirements and develops solutions for moderately complex to highly complex systems. • Applies expertise in information systems architecture, networking, telecommunications, automation, communications protocols, risk management, software development methodologies, lifecycle management, and modeling and simulation. • Performs functional decomposition to identify required tasks, interdependencies, and resource needs. • Facilitates and supervises requirements-gathering sessions and ensures that business, system, and integration requirements align with program objectives. • Evaluates alternatives and provides actionable recommendations. • Proactively identifies, communicates, and mitigates risks, while resolving issues to minimize impacts on project success.