Senior System And Manufacturing Codesign Architect Jobs

We anticipate the application window for this opening will close on - 3 Oct 2026 Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first — developing innovative medical technologies that improve the lives of 72+ million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact. A Day in the Life The Facilities function is responsible for maintaining and optimizing building infrastructure, equipment, utilities, and support services to ensure safe, reliable, and efficient operations. This team oversees facility maintenance programs, capital improvement projects, contractor management, space planning, building systems, and workplace services that support day-to-day business operations. This onsite position is based at the distribution center in Swedesboro, New Jersey. The Senior Facilities Supervisor provides leadership for facility operations, maintenance activities, vendor services, and continuous improvement initiatives across the site. No travel is required for this position. The Senior Facilities Supervisor leads facility operations and maintenance activities to support a safe, compliant, and efficient workplace. This role oversees team performance, facility systems, contractor activities, maintenance planning, and site improvement projects while ensuring reliable building operations and service delivery. Primary Responsibilities Lead daily facilities operations and maintenance activities across building systems, equipment, and site services Supervise, coach, and develop facilities p

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary Health100 is America's trusted front door to health and care. The Health100 platform integrates any participating health plan, PBM, pharmacy (retail and specialty), provider, digital health point solution provider, and employer, and addresses the top health care challenges for the consumer. The Senior Manager, Software Engineering will lead engineering teams building a best-in-class consumer health experience on the Health100 platform, focused on identifying, prioritizing, shaping, and executing complex platform initiatives. As a key member of our engineering organization, you will drive innovation, manage cross-functional teams, and deliver scalable cloud-native and AI-enabled solutions that improve consumer experiences and business outcomes. This role works within a top-notch organization of software developers who identify, design, and deliver technology solutions using Java, distributed systems, cloud platforms, and AI-powered capabilities to achieve defined business value. You will guide the integration and validation of complex technology solutions, drive engineering excellence, and leverage emerging technologies including Generative AI and intelligent automation to accelerate innovation and efficiency *Remote eligible within the United States. Preference for candidates in close proximity to our Woonsocket, RI headquarters. Resp

Senior Nondestructive Test (NDT) Technician Company: Boeing Defense, Space & Security (BDS) has an exciting opportunity for a Senior Nondestructive Test (NDT) Technician - UT & RT to join our Quality Fabrication organization in St . Louis, MO! Join our dynamic and supportive Quality team! In this role, you will conduct Non-Destructive Testing (NDT) on aerospace products using cutting edge methods including ultrasonic (UT), eddy current (ET), and/or radiographic (RT). You will work with digital and automated inspection systems in an aerospace environment aligned with industry standards and regulations. Opportunities for rapid skill growth and progress depending on performance. Employees will be required to obtain Boeing NDT certification and pass a vision exam. Failure to achieve or maintain certification requirements may lead to termination of employment. Candidates must have documented evidence of NDT certification, education and/or OJT hours in UT or RT available for Boeing Level 3 review Work Environment : May be exposed to noise, dust, fumes, airborne particles, smoke (not over OSHA permissible exposure levels). This position requires the applicant to work in a radiation environment and involves exposure to radiation. Candidates must demonstrate a strong understanding of relevant safety and health regulations, protocols, policies, and procedures to ensure a safe working atmosphere for self and others. Safety training and equipment are provided by Boeing in accordance with applicable laws, industry standards, and company policies. Will be required to wear Personal Protective Equipment (PPE) applicable to the testi

About the Role: Tubi's content platform is the engine behind one of the largest free streaming services in the world. Every play, every deal, every creator, every frame of video flows through systems CPE owns, and the surface area is enormous. Distributed services running on the hottest path of Tubi's traffic. Video pipelines processing one of the largest workloads in streaming. Workflow engines automating the operations that used to consume entire teams. Creator-facing products turning a back-office process into a real platform. And on top of all of it, an AI-native rebuild of the CMS that most companies aren't willing to attempt. This isn't a single-domain role. It's a platform where backend, frontend, video, infrastructure, and applied AI all collide at the scale where decisions actually matter, where an architectural choice ripples across millions of titles and billions of requests, and where the difference between "good enough" and "great" shows up in revenue. We're looking for builders who want to range across domains — backend one quarter, frontend the next, applied AI the one after that — and who want their work to be felt: by viewers when a title plays instantly, by creators when they go live the same day, by Content Ops when a workflow runs itself, and by the business when the platform stops being a cost center and starts being a force multiplier. The infrastructure is already there. The mandate is already there. What's missing is the people who want to build the thing, not talk about it. Come build it. This is a hybrid role based out of our Toronto office. You must be willing to travel to our Toronto office two days/week. What You'll Do: You'll work on systems that sit at the heart of Tubi's business, where the content pipeline meets the viewer, the creator, and increasingly, the AI agent. The work spans the full stack of a modern content platform: distributed services, video infrastructure, workflow automation, and applied AI, all running at

About the Role: Tubi is seeking a highly skilled and experienced Senior QA Automation Engineer to lead quality assurance initiatives for our cutting-edge streaming and AI-driven product features. This pivotal role involves ensuring exceptional end-to-end user experiences, robust streaming playback, and the accuracy and integrity of our AI/ML features across web, mobile, and OTT platforms. We're looking for a candidate with a strong background in streaming QA and deep technical knowledge of media workflows. You'll be instrumental in collaborating with engineering, product, and data science teams to define comprehensive QA strategies that guarantee both functional excellence and data-level quality. This is a hybrid role based out of our Toronto office. You must be willing to travel to our Toronto office three days/week. What You'll Do: Design and lead test strategies for streaming workflows, playback systems, and AI-powered features. Test across platforms (web, mobile, and connected TV) to ensure functional parity and playback stability. Validate streaming performance—including ABR logic, encoding pipelines, and DRM integrations—under diverse real-world conditions. Debug with precision using tools like Charles Proxy, Chrome DevTools, ADB, and Xcode. Collaborate with data and ML teams to validate AI model updates, recommendations, and personalization accuracy. Leverage AI-assisted QA tools to enhance regression coverage, UI validation, and anomaly detection. Contribute to automation and CI/CD frameworks, driving faster, more reliable releases. Help drive a shift-left testing approach by engaging early in the software development lifecycle, partnering with product managers, engineers, and data scientists to identify quality risks, define test strategies, and ensure testability during requirements and design phases. Oversee QA deliverables for multiple concurrent releases and ensure seamless sign-off for production launches. Monitor live environments for playback or reco

SIXGEN’s mission is to deliver agile, mission-ready cybersecurity solutions that empower government and critical infrastructure organizations to stay ahead of advanced cyber threats. We combine innovation, deep expertise, and cutting-edge capabilities to uncover vulnerabilities, protect vital systems, and ensure operational superiority in an ever-evolving digital landscape. POSITION OVERVIEW Position: Software Engineer Job Type: Full-time Location: Ft. Meade, MD Clearance Requirements: Active TS/SCI with Polygraph required Work Schedule: 5 days per week onsite Travel Requirements: None Experience: 14+ years WHAT YOU'LL DO We are seeking a Software Engineer to support the implementation, troubleshooting, maintenance, and ongoing support of agile software development efforts focused on modernizing systems. This role requires applying advanced software engineering principles, theories, and concepts while contributing to the development of new approaches and solutions. The ideal candidate will tackle highly complex technical challenges, operate with significant autonomy, and provide technical leadership and mentorship to team members when needed. KEY RESPONSIBILITIES Software Development Design, develop, modify, and implement software applications using agile development methodologies. Write source code for new applications and enhance existing software solutions. Utilize both front-end and back-end technologies to develop complete software solutions. Support the modernization, maintenance, and enhancement of existing systems. Engineering & Technical Problem Solving Apply advanced software engineering principles to solve complex technical challenges. Develop innovative approaches and solutions to meet mission requirements. Contribute to software architecture, integration efforts, and application development activities. Collaborate across cross-functional teams to deliver effective solutions. Team Collaboration & Leadership Work closely with technical teams in a

The role will involve contributing to the development and enhancement of the credit risk modelling toolkit while partnering with modellers to ensure the toolkit is being used correctly and efficiently; and gather feedback to support future improvements and enhancements. This position requires strong stakeholder engagement skills, the ability to understand end-user requirements, and solid Python development experience, including contributing to large-scale Python libraries and testing frameworks. Essential Skills Strong commercial experience building and testing Python applications in a professional environment. Strong understanding of object-oriented programming and test-driven development. Solid knowledge of testing principles and best practices, including experience with pytest. Strong understanding of coding best practices and writing clean, maintainable, pythonic code. Experience identifying and addressing code smells. Familiarity with code review best practices. Practical understanding of SOLID principles and common design patterns. Good working knowledge of Git version control. Experience working in Agile development environments, ideally with continuous integration practices. Nice to Have MSc or PhD in Computer Science, Mathematics, Physics, Operational Research, Information Systems, or a related technical discipline. Exposure to credit risk analytics or related financial risk domains. Strong familiarity with the scientific Python stack, including NumPy, SciPy, pandas, polars, and Matplotlib. Experience with PySpark or other Big Data technologies. Experience contributing to open-source projects or developing reusable Python libraries. How to apply: Apply via the form below and tell us a bit about you. Complete the online assessment (we’ll send you a link by email). Complete the interviews with our friendly talent team over phone and video. Lastly, you’ll interview with one or more of our clients. So you don’t miss out on your dream job, we encourage you

Roles and Responsibilities Write maintainable/scalable/code Work in a cross-functional team, collaborating with peers during the entire SDLC. Follow coding standards, unit-testing, code reviews etc. Follow release cycles and commitment to deadlines. Qualifications & Experience Experience level of 3 to 6 years of experience in very large scale applications. Fair understanding in problem solving skills, data structures and algorithms. Experience with distributed systems handling large amounts of data. Fair understanding in coding skills in Java/J2EE, Web technologies, RDBMS/messaging.

Here’s a summary of the role: Build software that matters, take real technical ownership, and use modern AI tooling to do your best work. This is a hands-on senior engineering role for someone who enjoys solving complex product problems, shaping robust solutions, and helping teams deliver reliable services at scale. You’ll work on secure, scalable microservices and APIs using TypeScript, AWS, and modern engineering practices. You’ll play a leading role within a collaborative product engineering team, owning complex features end to end, contributing to design and architectural decisions, supporting production systems, and helping raise the bar across backend, cloud, and AI-assisted development workflows. Here’s a breakdown of what you’ll do, not all of it, just the important stuff: Own and deliver complex backend services and APIs using Node.js, TypeScript, and AWS , from technical design through release and production support. Contribute to design and architecture discussions, making pragmatic decisions that balance delivery speed, maintainability, scalability, and security. Mentor and support less experienced engineers through code reviews, pairing, technical guidance, and day-to-day collaboration. Work closely with product managers, designers, and engineers across the team to turn requirements into practical, reliable solutions. Use AI tools to accelerate coding, debugging, testing, research, and documentation, while validating outputs carefully and applying sound judgment. Strengthen service reliability, observability, and engineering quality by improving monitoring, incident response, testing, and development practices. These are the essentials you’ll need to get an interview: 5 to 8 years of professional software engineering experience delivering production systems in an agile environment. Strong backend development s

Scale's mission is to develop reliable AI systems for the world's most important decisions. We provide the high-quality data that powers the world's AI models, and we help enterprises and governments build, deploy, and oversee AI applications that create real impact. As Communications Manager, Corporate and Product, you will help shape how Scale shows up when it comes to our work building enterprise AI, spanning company narrative, product launches, partner communications, media presence, and executive visibility. This role is centered on translating complex enterprise AI deployments and partnerships into clear, compelling narratives that resonate with business and vertical industry audiences. A core focus of the role is pitching and positioning Scale's enterprise wins, product launches, and customer partnerships, including how organizations across industries are using Scale's Generative AI Platform to build, deploy, and oversee AI applications that create real impact. You will also work closely with communications counterparts at partner companies to align messaging and coordinate joint announcements. You will help tell the story of how Scale's enterprise business powers mission-critical AI programs for the world's most consequential organizations, from Fortune 500 companies to leaders across every major industry. In this role, you will partner closely with enterprise product leaders and go-to-market teams, as well as teams across communications, social, and marketing. You will play a key role in strengthening Scale's reputation with enterprise customers, industry analysts, and the broader technology ecosystem. This position reports directly to the Head of Corporate & Product Communications. You Will Support corporate and product communications initiatives with a strong emphasis on Scale's enterprise business, including customer and partnership announcements, product launches, executive visibility, and industry positioning. Help translate co

About Us Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Job Summary Working within the logical design team, the silicon logical design engineer is responsible for a wide range of logical design tasks. The team is responsible for delivering the Microarchitecture and RTL design to implement the chip architecture specification for Graphcore Silicon, working closely with other engineers within the Silicon team. The successful candidate will be responsible for helping the team deliver high quality micro-architecture and RTL for Graphcore chips, working within the logical design team and with the broader Silicon team to ensure we meet the company objectives for Silicon delivery. Responsibilities and Duties Integrate IP and subsystems into top-level SoC designs Develop and maintain build and configuration environments Perform synthesis, linting, CDC/RDC, and timing checks at the SoC level Support verification and physical design teams through clean interface hand-offs Debug and resolve integration-related issues across multiple hierarchies Contribute to the continuous improvement of integration flows and automation Producing high quality microarchitecture and other documentation Ensure good communication between sites to maintain consistent working practises Candidate Profile Essential skills: Logical design experience in relevant industry Experience range 4-8 years in Semiconductor Industry/Product development exposure. Be highly motivated, a self-starter, and a team player Ability to work across teams and debugging issues seen to find root caus

MongoDB Pre-Sales Solutions Architects are technical business advisors who help customers design, justify, and adopt reliable, scalable systems using MongoDB’s data platform. They own the technical strategy across complex opportunities—from discovery and qualification through architecture, proof of value, executive alignment, and successful adoption—and connect technical decisions to measurable business outcomes. You’ll partner closely with Account Executives, Sales Leadership, Customer Success, Professional Services, and ecosystem partners to shape multi-threaded account strategies, build champions, de-risk complex architectures, and drive expansion. You’ll serve as a trusted advisor to developers, architects, operations leaders, and business executives, helping organizations modernize legacy systems, build AI-powered applications, and realize measurable value from MongoDB. . We are looking to speak to candidates who are based in Tokyo for our hybrid working model. As an ideal candidate, you will have: Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity Experience designing with scalable and highly available distributed systems in the cloud and on-prem Demonstrated ability to lead architecture reviews for complex, multi-component applications and platforms, identifying risks, evaluating trade-offs, and providing clear guidance to modernize, optimize, and de-risk the solution Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership Ability to partner with Sales Leadership and Account Executives on multi-threaded account and territory strategies, prioritize oppor

We are seeking a highly technical and strategic Account Manager, Developer Relations to join our team, with a focus on engaging software companies and developer ecosystems across emerging technology domains. In this pivotal role, you will work directly with a small, strategic set of software solution providers (and their developers) to champion the adoption of NVIDIA’s advanced AI and computing platforms. Your mission is to partner with software companies to build AI agent-powered tools and integrate AI into their products making use of the NVIDIA platform, including open models and software frameworks and libraries. The ideal candidate brings a blend of deep technical expertise, experience in technical account management, and combines these with a passion for developer advocacy, business development and a talent for communicating how NVIDIA technology can solve complex, real-world challenges. What You'll Be Doing Establish relationships (both technical and business) at every level with a small set of strategic, regionally important software companies, and develop and implement a strategy to integrate the NVIDIA platform into these company’s products. Develop and maintain deep technical expertise in agentic AI systems, open models, data science applications, and GPU-accelerated computing. Serve as the trusted technical advisor, problem solver, and champion for the developers within the software companies you support, collaborating with cross-functional partners to drive adoption of NVIDIA technologies. Accelerate critical software company workloads by demonstrating and integrating the NVIDIA software stack (tools, libraries, SDKs, open models, NIMs, and blueprints) into partner products, platforms, and pipelines. Guide partners through onboarding and integrati

The NVIDIA DGXC Data Services team builds cloud-native systems, frameworks, and services for managing data across hybrid and multi-cloud infrastructure. We are building the next-generation data and storage infrastructure to solve some of the hardest problems in AI: storage, access, ingestion, governance, observability, and data management for exabyte-scale, high-performance GPU-based training and inference jobs. Our work gives NVIDIA teams the foundational capabilities they need to build, train, deploy, and operate AI products at scale without reinventing critical data infrastructure for every workload. What you will be doing: Build cloud-native data and storage services for hybrid and multi-cloud infrastructure, including dataset discovery, ingestion, governance, checkpointing, observability, and low-latency access. Develop scalable cloud-native services and APIs that support exabyte-scale, high-performance GPU training and inference workflows. Work closely with product managers, internal AI teams, platform teams, and partner engineering teams to understand requirements and turn them into reliable production systems. Collaborate with SRE, operations, and support teams to improve service reliability, performance, observability, on-call readiness, and operational scale. Use modern software engineering practices, including AI-assisted and agentic development workflows, while maintaining high standards for design, testing, security, and verification. What we need to see: BS in Computer Science, Information Systems, Computer Engineering, or equivalent experience, with 5+ years of software engineering experience. Strong foundation in algorithms, data structures, distributed systems, and practi

The NVIDIA DGXC Data Services team builds cloud-native systems, frameworks, and services for managing data across hybrid and multi-cloud infrastructure. We are building the next-generation data and storage infrastructure to solve some of the hardest problems in AI: storage, access, ingestion, governance, observability, and data management for exabyte-scale, high-performance GPU-based training and inference jobs. Our work gives NVIDIA teams the foundational capabilities they need to build, train, deploy, and operate AI products at scale without reinventing critical data infrastructure for every workload. What you will be doing: Build storage technologies, client libraries, and filesystem frameworks that help AI workloads access data across object stores, file systems, and hybrid cloud infrastructure. Develop high-performance storage paths for training and inference workflows, including data loading, checkpointing, caching, POSIX-style access, and object-store integration. Build observability systems that diagnose storage bottlenecks, attribute GPU idle time to I/O behavior, and expose actionable telemetry through production monitoring stacks. Improve performance, scalability, and reliability of storage systems serving massive datasets, deep directory trees, and high-concurrency AI workloads. Work closely with internal AI teams, platform teams, SRE, and operations to validate storage behavior against real workloads and production environments. Use modern software engineering practices, including AI-assisted and agentic development workflows, while maintaining high standards for design, testing, security, performance, and verification. What we need to see: BS in Computer Science, Information Sys