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Join the Lockheed Martin Artificial Intelligence Center (LAIC) team and be part of a dynamic group that's pushing the boundaries of innovation in radar systems engineering, signal processing, data science, artificial intelligence, and machine learning. As a key member of the Applied AI team, you'll have the opportunity to work on a wide range of projects that are transforming the way we approach complex challenges. With a focus on rapid iteration and deployment, you'll be instrumental in developing and maintaining cutting-edge AI capabilities that are making a real impact across the Lockheed Martin enterprise. What you'll be doing: • Monitoring and maintaining fielded AI capabilities to ensure optimal performance • Developing new capabilities to enhance ML monitoring and continuous update processes for deployed systems • Analyzing customer data to inform ML model performance assessments and updates • Collaborating with cross-functional teams to address evolving operational requirements • Working on-site at major Lockheed Martin facilities, including LM Moorestown, Valley Forge, Colorado, and Orlando, with flexible hours available outside of mission requirements What's In It For You: From onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your future and security, Learn more about Lockheed Martin's comprehensive benefits package here. Do you want to be part of a company culture that empowers employees to think big, lead with a growth mindset, and make the impossible a reality? We provide the resources and give you the flexibility to enable inspiration and focus - if you have the passion and courage to dream big, work hard, and have fun doing what you love then we want to build a better tomorrow with you. Who are you: You are a highly motivated and organized individual with a strong working knowledge in radar systems engineering, signal processing, data science, artificial intelligence, and machine learning. You possess: • A strong foundation in technical skills, including ML model development and deployment • Excellent interpersonal and communication skills, with the ability to work effectively in a team environment • A self-motivated and proactive approach to work, with a strong work ethic and time management skills • The ability to work on-site at major Lockheed Martin facilities, with occasional off-hours work required to meet mission needs US citizenship is required for this role #LMLAIC Basic Qualifications: • Bachelor's Degree in Engineering, Computer Science, or related field • Experience with large dataset management and machine learning • Proficiency in Python and related libraries (e.g. NumPy, Pandas) • Knowledge of MLOps pipeline and modern machine learning techniques Desired Skills: • Master's Degree in Engineering, Computer Science, or other related discipline • Experience with DevOps tools: Docker, Git [GitLab, GitHub], Continuous Integration [CI], Continuous Deployment [CD] • Familiarity interfacing with databases (SQL, MongoDB, etc.) • Experience with modern Computer Vision • Experience with C++, Java, GO, and other compiled languages • Experience developing applications on Linux • Familiarity with network/messaging (UDP, ZeroMQ, RESTful API, etc.) • Familiarity with high-performance computing • Familiarity with radar systems and track processing Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration. Clearance Level: Secret Other Important Information You Should Know Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to Work Remotely: Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility. Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Schedule for this Position: 4x10 hour day, 3 days off per week Pay Rate: The annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $89,300 - $157,435. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year. This position is incentive plan eligible. Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. Join us at , where your mission is ours. Our customers tackle the hardest missions. Those that demand extraordinary amounts of courage, resilience and precision. They're dangerous. Critical. Sometimes they even provide an opportunity to change the world and save lives. Those are the missions we care about. As a leading technology innovation company, 's vast team works with partners around the world to bring proven performance to our customers' toughest challenges. has employees based in many states throughout the U.S., and Internationally, with business locations in many nations and territories. Experience Level: Experienced Professional Business Unit: ENTERPRISE BUSINESS SERVICES Relocation Available: Possible Career Area: Artificial Intelligence Type: Full-Time Shift: First

Are you ready to join a team that's pushing the boundaries of Artificial Intelligence and making a real impact in the industry? The Lockheed Martin Artificial Intelligence Center (LAIC) team is seeking a highly motivated and experienced individual to support the Applied AI team and specifically the Cognitive Modules portfolio. As a key member of our team, you'll have the opportunity to work on a broad range of projects, from prototypes to deployment, and contribute to the development of innovative solutions that provide discriminating capability to our customers. With a strong focus on software engineering and computer science, this role is perfect for someone who is passionate about Artificial Intelligence and wants to make a real difference in the industry. What You Will Be Doing: • Developing software products that implement Artificial Intelligence to provide cutting-edge solutions to our customers • Engaging in every phase of the system development lifecycle, including requirements generation, system and software design, implementation, integration, and flight test • Participating in a range of activities, from proof of concepts and development of prototypes to building demonstrators and transitioning to production • Leveraging current computer science paradigms, including object-oriented programming, data structures and algorithms, concurrency, and I/O (block storage network database) • Developing code to solve complex problems and field innovative solutions • Assuming technical lead responsibilities and mentor junior engineers What's In It For You: From onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your future and security, learn more about Lockheed Martin's comprehensive benefits package here. Lockheed Martin provides the resources and the flexibility to enable inspiration and focus! If you have the passion and courage to dream big, work hard, and have fun doing what you love, then we want to build a better tomorrow with you! Who You Are: You are a highly motivated and experienced individual with a strong background in software engineering and computer science. You have: • A strong foundation in computer science paradigms, including object-oriented programming, data structures and algorithms, concurrency, and I/O (block storage network database) • Experience with software development and deployment • Excellent self-motivation, strong work ethic, time management, and interpersonal skills • The ability to work effectively in a team environment and assume technical lead responsibilities • A passion for Artificial Intelligence and a desire to contribute to the development of innovative solutions that make a real impact in the industry #LMLAIC Basic Qualifications: • Bachelor's Degree in Engineering, Computer Science, or other related discipline • Experience with an interpreted language; python • Experience with a deep learning library; PyTorch or Torch or Keras or Tensorflow or Scikit-Learn (sklearn) or open CV • Experience applying machine learning techniques on projects; Supervised Learning or Unsupervised Learning or Semi-Supervised Learning or Reinforcement Learning • Secret Clearance Desired Skills: • Master's Degree in Engineering, Computer Science, or other related discipline. • Experience with DevOps tools (Docker/Podman, Git, or GitLab CI/CD) • Experience with at least one of the following messaging protocols; Kafka or ActiveMQ or ZeroMQ or DDS • Experience with at least one of the following communication protocols; REST or gRPC • Experience with Test-Driven Development from both unit- and system/acceptance-level perspectives • Experience with software orchestration (e.g. Kubernetes, Helm, Istio/Linkerd) and modern GitOps workflows • Experience developing microservices and microservice architectures • Experience building and deploying software for defense mission systems • Experience with real-time embedded software engineering • Experience with hardware-accelerated computing for both CPUs and GPUs (e.g. CUDA, Intel one API, SYCL) • Experience with model deployment software libraries and stacks (e.g. NVIDIA TensorRT, Triton Inference Server, OnnxRuntime) • Experience deploying AI-enabled systems in multiple environments (e.g. cloud, edge devices) • Experience with high-performance computing • Experience interfacing with databases (SQL, MongoDB, etc.) • Experience leading other engineers or small teams • Familiarity with transitioning prototype software to production • Top Secret // SCI Clearance Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration. Clearance Level: Secret Other Important Information You Should Know Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to Work Remotely: Part-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process. Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Schedule for this Position: 4x10 hour day, 3 days off per week Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility. If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications. Experience Level: Experienced Professional Business Unit: ENTERPRISE BUSINESS SERVICES Relocation Available: Possible Career Area: Artificial Intelligence Type: Full-Time Shift: First

A leading airline company in San Francisco is seeking an experienced aircraft maintenance engineer to analyze and resolve technical challenges, ensure regulatory compliance, and provide detailed project management. Candidates should possess a Bachelor's degree in Engineering and have extensive knowledge in airline operations. This full-time role offers competitive compensation and a comprehensive benefits package. #J-18808-Ljbffr

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page. Optical Engineer Responsibilities: Collaborate with Meta engineers on the next generation optical communication technology with a particular focus on the testing of optical modules and subsystems for Data Center applications. Work in a collaborative environment across Meta teams including SW, Thermal, Mechanical, and EE. Develop test and simulation methodologies relevant for next-generation, high-speed optical technologies. Develop automation practices and solutions for lab testing. Lead new optical communication NPI programs, working closely with optics vendors and ODMs. Interface with the industry and contribute to the RFI/RFP process for optical solutions. Communicate complex optical hardware requirements to non-experts both internally and to industry-facing stakeholders. Minimum Qualifications: Master's degree (or foreign degree equivalent) in Electrical Engineering, Computer Engineering, Optical Engineering, Physics, or a related field and 3 years of experience in the job offered or in a computer-related occupation Requires 3 years of experience in the following: Imaging optics for both photographic and computer vision applications Both sequential and non-sequential optical design software (e.g. Zemax, Code V, LightTools, FRED and/or ASAP) Image quality evaluation, imaging sensor operation and characterization, stray light modeling and analysis, camera module or lens testing and characterization, imaging and illumination optics design and manufacturing Theoretical analysis using MATLAB, Python or similar programs Statistical analysis using MATLAB Public Compensation: $181,390/year to $189,200/year + bonus + equity + benefits Industry: Internet Equal Opportunity: Meta is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com. #J-18808-Ljbffr

Copy link Google Sunnyvale, CA, USAMidExperience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. PhD degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience. Academic, educational, internship, or project experience with RTL coding, Verilog, or SystemVerilog. Preferred qualifications: Experience with scripting language (e.g., Python or Perl). Experience applying engineering best practices (e.g. code review, testing, refactoring). Experience interacting with software, architecture, and other cross-functional teams. Knowledge of processor design or accelerators. Knowledge of high-performance and low power design techniques. Knowledge of processor design, accelerators, or memory hierarchies. About the job In this role, you'll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You'll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems. As an RTL Design Engineer, you will be part of a team developing ASICs to accelerate computation in data centers. You will have dynamic, multi-faceted responsibilities in areas such as project definition, design, and implementation. You will participate in the design, architecture, documentation, and implementation of the next generation of data center accelerators. The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. The US base salary range for this full-time position is $132,000-$189,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities Understand the overall application of the chip, proposing and developing improvements in overall design. Design and document one or more blocks of an ASIC, including functionality and timing. Work closely with software teams on functionality, interfaces, and documentation. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. #J-18808-Ljbffr

A cutting-edge AI lab in San Francisco is seeking experienced end-to-end engineers to join their small, talent-dense team. The role involves building innovative software products, enhancing user experiences, and collaborating closely with product teams. Ideal candidates should have experience with Python, Typescript, and React. Strong achievers who thrive in fast-moving environments are encouraged to apply. #J-18808-Ljbffr

A leading cloud infrastructure provider is seeking a Senior Product Security Engineer in San Francisco, CA. In this role, you will assess security risks for new products and features, collaborate with engineering teams, and champion a security culture. The ideal candidate will possess expertise in secure architecture design and a passion for mentoring. This remote role offers a competitive salary, ranging from $161,000 to $220,000, along with benefits and growth opportunities. #J-18808-Ljbffr

Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you'll find your place here. We value winning together-while learning, having fun, and making a profound difference for the dreamers and builders in the world. We're looking for a Senior Product Security Engineer who is passionate about partnering with engineers to assess the security risk of new products and features. As a member of the Secure Design team, you will report to the Senior Manager of Product Security. Our Secure Design team enables DigitalOcean to build secure‑by‑design products. We leverage strong relationships with both product teams and the rest of security engineering to be successful. Our scope is primarily focused on reviewing early‑stage decisions, helping develop threat models, scaling impact via automation, curating security patterns, authoring security guidance, training, and championing security initiatives. You will collaborate with other security teams and the rest of DigitalOcean to guide secure architecture design, reduce security risk in the organization, and empower engineers to make informed security decisions. Security at DO means solving incredibly complex problems at a high‑scale that have real impact for our customers, our products, and the larger internet community. What you'll do: Threat model application designs and solutions and provide security risk assessments (70%) Provide deep technical expertise in software and network architecture during holistic assessments of security layers across infrastructure, application, people, and process. Collaborate with product managers, designers, and engineers to threat model and architect secure and resilient systems. Identify the trade‑offs of different solutions and recommend the efficient design to achieve both functional goals and security requirements. Provide hands‑on remediation guidance to development teams. Cultivate and promote a security culture (20%) Champion an internal security culture (developer training, internal CTFs, etc.). Mentor software engineering teams in security best practices. Help DigitalOcean engineers understand how security events impact them. Do they need to worry about the next Log4j CVE? How does RetBleed impact DigitalOcean's fleet? Build security tooling and automations to help scale the Product Security team's practices (10%) Use software architecture and coding patterns to reduce the impact of security issues. Drive architecture, patterns, and processes across engineering that make security the easiest path. Integrate custom security tooling into engineering workflows. What you'll add to DigitalOcean: Required qualifications: Experience leading architectural changes or complex cross team efforts to mitigate security vulnerabilities. Ability to clearly communicate security topics and vulnerability classes (e.g. OWASP Top Ten) and ability to provide actionable direction to product teams. A record of partnering with internal engineering teams to tackle security problems across an entire stack with empathy and creativity. Engineering teams are our partners, not our adversaries. Working knowledge of modern development concepts (virtualized environments, containerization, continuous integration + delivery). Preferred qualifications: 3+ years experience guiding software teams on secure architecture design. Experience building or reviewing threat models and ability to craft malicious user, attacker, and abuse/misuse cases. Working knowledge of hardware and software supply chain security. Compensation Range: $161,000 - $220,000 *This is a remote role. Why You'll Like Working for DigitalOcean We innovate with purpose. You'll be a part of a cutting‑edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions. We prioritize career development. At DO, you'll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high‑performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development. We care about your well‑being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences. We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program. DigitalOcean is an equal‑opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. #J-18808-Ljbffr

A healthcare technology startup in San Francisco is seeking a Product Engineer to join their founding team. The role involves building and maintaining core applications that improve patient safety through AI analytics. Candidates should have 3+ years in software engineering with a strong grasp of modern web technologies and a passion for turning innovative ideas into practical applications. This position offers ownership and autonomy in a mission-driven environment aiming to transform healthcare. #J-18808-Ljbffr

Pharos is an early-stage startup dedicated to improving patient safety in hospitals through advanced AI-powered reporting and analytics. Our mission is to make healthcare safer by automating hospital quality reporting and helping staff identify and prevent the root causes of avoidable harm. Our vision is an AI system reviewing every chart at scale, identifying patterns and giving clinicians the insights they need to prevent the 100k avoidable deaths that occur in U.S. hospitals every year. We raised a $5m seed funding round at the end of 2024. About the Role This is a pivotal role as a founding member of the engineering team at Pharos. As a Product Engineer, you will bridge the critical gap between product vision and technical execution. You will be responsible for building, shipping, and maintaining our core user-facing applications, working in close partnership with the founders and design team. These products include an interface for users to review and correct AI-generated results to medical questions, as well as an analytics and root cause analysis platform where users can visualize clinical quality trends and drill down into the causes of specific patient safety events. The scope of this role is intentionally broad. As one of our first engineers, you will be an integral part of the founding team, working at the intersection of product design, user experience, and full-stack engineering. We are creating a new category of product, requiring 0-to-1 innovation - turning a novel vision into a real, tangible application without existing examples to lean on. You'll be translating complex requirements and detailed designs into beautiful, functional, and reliable applications. You will have autonomy and ownership over the entire product lifecycle, from the first line of code to deploying in production and monitoring its impact. Your work will directly build the tools healthcare workers use every day to make healthcare safer. What You'll Do End-to-End Feature Development: Own the end-to-end development of new user-facing features, from technical design and implementation to testing, deployment, and monitoring. Design-to-Production: Collaborate closely with designers to translate Figma prototypes into pixel‑perfect, responsive, and intuitive web applications. Full‑Stack Implementation: Build and maintain all components of our product, including the front‑end and the back‑end APIs and services that power them. Product Ownership: Act like a product owner. Rapidly prototype new ideas, participate in user feedback sessions, and use your product intuition to advocate for the best user experience. Infrastructure & Deployment: Manage and improve our CI/CD pipelines, cloud infrastructure, and deployment processes to ensure reliability, scalability, and a fast development loop. Uphold Quality: Champion high standards for code quality, testing, and engineering best practices within a fast-moving startup environment. Cross‑Functional Collaboration: Work side‑by‑side with the founders, designers, and AI research team to solve complex problems and build a cohesive, mission‑critical product. What We're Looking For Required: Engineering Experience: 3+ years of professional experience as a software engineer, with a strong track record of building and shipping user‑facing products. Web‑Stack Proficiency: Deep expertise in modern web technologies, including a front‑end framework (e.g., React, Vue), TypeScript, design systems and document databases. Production Experience: Experience deploying and maintaining applications in a cloud environment (e.g., AWS, GCP, Azure). Product & Design Sense: Strong product intuition and a keen eye for design. You care deeply about the 'why' behind what you're building and the user's experience. Communication: Excellent ability to communicate complex technical concepts to diverse audiences, including non‑technical stakeholders. Strongly Preferred: Startup Experience: Previous experience as an early‑stage employee at a startup, demonstrating an ability to thrive in a fast‑paced environment. Healthcare Informatics: Familiarity with healthcare data, electronic health records (EHRs), or interoperability standards (FHIR, HL7) is a major plus. Design Systems: Experience building or using design systems to maintain UI consistency and accelerate development. Our Technology Stack As a product engineer, you'll primarily work with our modern, high-performance stack: Frontend: React, TypeScript, Vite, and TailwindCSS. Backend & Services: TypeScript on Bun (for application backends) and Python (for AI/ML services). Database & Auth: Firebase (Firestore, Auth, Hosting) integrated closely with GCP. Infrastructure: Google Cloud Platform (GCP), especially Cloud Run, Pub/Sub, and Google Healthcare API. Tooling: Nx for monorepo management, Biome (JS) and Ruff (Python) for linting/formatting. Architecture: We run a microservices architecture with event‑driven patterns using Pub/Sub. Personal Attributes: High agency: You're excited by the opportunity to take ambiguous product challenges and drive them from idea to execution without waiting for direction. Motivated by impact: You're energized to work hard as part of a high-performing team - holding a meaningful equity stake in a company with the real potential to save thousands of lives. Ownership mindset: You take pride in acting like an owner, taking full responsibility for the quality and outcomes of your work. Comfortable with ambiguity: You thrive in an early‑stage startup environment where there's no rigid hierarchy, everyone wears many hats, and you have real power to influence the path of the company. What We Offer Foundational Impact: A rare chance to build a category‑defining healthcare AI company from the ground up and directly improve patient outcomes at scale. Product + Technical Growth: Unique opportunity to develop expertise at the intersection of product, design, user‑facing engineering, and cutting‑edge AI. Ownership and Autonomy: Take ownership of the core user‑facing product and have significant autonomy in your technical and product decisions. Significant Outcome Potential: Meaningful equity stake as a founding team member. Mission‑Driven Work: Every day, work on technology that has the potential to prevent avoidable patient harm and save lives. Culture Creation: Actively shape a positive, collaborative, innovative, and mission‑driven culture that values both technical excellence and user impact. Benefits: Good healthcare, dental and vision plans and 401k. Location San Francisco, USA. We expect our core team to be in the office most working days. #J-18808-Ljbffr

We are an applied AI lab building end-to-end software agents. We're the makers of Devin, the first AI software engineer. Now is the most interesting time to join Cognition - we're seeing record growth and demand, the code generation industry is developing at lighting speed and we're doing this with one of the smallest teams thanks to Devin. We are small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro. If you're excited to solve some of the world's most challenging problems and build AI that can reason on real-world tasks, join us. About the Role We're looking for experienced end-to-end engineers who thrive at fast-moving startups, and are excited to push the boundaries of how developers will interact and work with coding agents. You'll work closely with other engineers on the team, the product and go-to-market teams at Cognition, and our design partners. In this role, you will: Ship product and talk to users! Punch through technical walls Build performant and beautiful experiences that developers love Set the standard for UX of agent products Requirements for the role: A record of exceptional achievements and impact Willingness to work hard, move fast and grow quickly in a rapidly changing environment An exceptional ability to learn Experience with Python, Typescript, & React in complex products #J-18808-Ljbffr

Expected Duration: 6 months (to start with) to one year Highly desired the following qualification: Experience in the rail industry for at least 5 years Experience on NJT Multilevel train project either in design or manufacturing Hands on work experience on production support on Work instructions, MODs, CRs, QNs etc. Hands on harness design or manufacturing knowledge (specific to Electrical Methods Engineer) Hands on experience on Catia V5 (expert level), 3D-COM / ENOVIA, PDM, SAP VSM, SAP GSI Desired Knowledge / Experience 5-8 years experience in Manufacturing background with preferably in the railway industry. Technical experience of Process Engineering, writing manufacturing work instructions, MODs, CRs, QNs etc. Experience in working with an ERP (such as SAP) for Bill of Materials, Routings, Configuration follow-up Working knowledge in Quality, EHS standards and Ergonomics. Educational Requirements Associate Degree in Engineering, Mechanical or related Field English (read, written, spoken) Behavioural Competencies Able to express and communicate effectively and efficiently Decisive. Obtains and uses necessary information to make decisions. Refers decision to others when appropriate Conscientious. Commits and delivers. Should be able to stretch to meet expectations. Logical and organized Good communication Self-Motivation

A leading platform for human + AI collaboration in San Francisco seeks a Staff CI/CD Engineer to enhance and develop high-performance CI/CD pipelines. The ideal candidate will have extensive experience in software engineering, particularly in CI/CD for large-scale environments, and possess strong leadership abilities. This role offers competitive compensation ranging from $248,000 to $282,000 annually, along with additional benefits and a hybrid work model. #J-18808-Ljbffr

A pioneering quantum computing company in Palo Alto seeks an Active Photonics R&D Engineer. This role involves designing and testing active photonic devices essential for fault-tolerant quantum computers. The ideal candidate will have hands-on experience with photonic technologies and the ability to work collaboratively across teams. Join us in shaping the future of quantum computing and make an impact in various industries. #J-18808-Ljbffr

A leading robotics company in Waltham is seeking a Principal Mechanical Engineer for its Spot robot team. You will lead cross-functional teams to develop and implement complex robotic subsystems. The ideal candidate must hold a BSME with at least 10 years of relevant experience, including advanced skills in CATIA and strong technical writing. This position offers a competitive salary range and generous benefits including medical, dental, vision, 401(k), and paid time off. #J-18808-Ljbffr

A leading technology company in San Francisco is seeking a Display Optical Engineer to lead the design and development of next-generation display technologies. This role involves managing technology development from concept through prototyping to final products, working closely with multidisciplinary teams. Ideal candidates should possess strong optical design skills, experience with lab equipment, and the ability to analyze complex problems. The position offers a competitive salary and comprehensive benefits including stock options and educational reimbursements. #J-18808-Ljbffr

A leading semiconductor company in San Jose is seeking a Senior Package Layout Engineer to join the System-in-Package team. This role involves designing complex SoCs for various industries, including IoT and Automotive, utilizing advanced 2.5D and 3D technologies. Candidates should have a degree in Electrical Engineering and at least 4 years of experience with Cadence APD & Allegro toolsets. The position offers a competitive salary and fosters a hybrid working environment. #J-18808-Ljbffr

The Senior project Engineer 3 oversees the seamless transition of manufacturing processes from one location to another, ensuring minimal disruption. Responsibilities include coordinating with cross-functional teams, managing timelines, and maintaining product quality during the transfer. The role requires expertise in process optimization, problem-solving, and compliance with industry standards. Strong communication skills are essential for liaising with stakeholders, including engineering, quality, regulatory, supply planning, procurement, and production teams. Senior Project Engineer 3 also monitors and reports on progress, ensuring that all project objectives are met efficiently. What will you be doing. • Manage the transfer of manufacturing processes between locations, ensuring minimal disruption to production. • Create detailed project plans, including timelines, resource allocation, and milestones for the transfer process. • Work closely with engineering, quality assurance, regulatory, supply planning, procurement, production teams, and suppliers to align objectives and address potential issues. • Identify opportunities for process improvement and implement changes to enhance efficiency and product quality. • Ensure all processes adhere to industry standards, safety regulations, and company policies. • Track and report on the progress of the transfer project, addressing any deviations from the plan. • Resolve any technical or logistical problems that arise during the transfer to avoid delays and maintain production continuity. • Prepare documentation and provide training to ensure the receiving location can operate the new processes effectively. What will you need to be successful? • Bachelor's degree in science or engineering and at least 5 years' professional work experience in new product development, product transfer in a regulated industry (Med Device preferred). • Experience with medical device manufacturing methods is highly desirable. • Communicate optimally, while working with multi-functional teams, to achieve desired results. • Build productive internal/external relationships and collaborate in teams. • Complete assignments with directional input and periodic mentorship. • The ability to understand, interpret, follow, and improve Inspection, gauging methods and different Quality Systems. • Requires organizational and time management skills. • Understand basic technical issues and develop solutions with scope of responsibilities. • Basic knowledge of Operations deliverables / documentation is preferred. • Duties and responsibilities may change as business needs change. • Having GD&T knowledge will be beneficial. • Strong verbal and written communication and presentation skills.

Collabera is the largest minority-owned Information Technology (IT) staffing firm in the U.S., with more than $525 million in sales revenue and a global presence that represents approximately 10,000 professionals across North America (U.S., Canada), Asia Pacific (India, Philippines, Singapore, Malaysia) and the United Kingdom. We support our clients with a strong recruitment model and a sincere commitment to their success, which is why more than 75% of our clients rank us amongst their top three staffing suppliers. Not only are we committed to meeting and exceeding our customer's needs, but we are committed to our employees' satisfaction as well. We believe our employees are the cornerstone of our success and we make every effort to ensure their satisfaction throughout their tenure with Collabera. As a result of these efforts, we have been recognized by Staffing Industry Analysts (SIA) as the “Best Staffing Firm to Work For” for four consecutive years since 2012. With over forty offices globally and a presence in seven countries, Collabera provides staff augmentation, managed services and direct placement services to Global 2000 Corporations. Collabera is ranked amongst the top 10 IT staffing firms in the U.S., and for the past 24 years we have continued to grow rapidly year after year. For consultants and employees, Collabera offers an enriching experience that promotes career growth and lifelong learning. Visit ***************** to learn more about our latest job openings. Awards and Recognitions --Staffing Industry Analysts: Best Staffing Firm to Work For (2015, 2014, 2013, 2012) --Staffing Industry Analysts: Largest U.S. Staffing Firms (2015, 2014, 2013) --Staffing Industry Analysts: Largest Minority Owned IT Staffing Firm in the US. Job Description Position Details: Location: Aurora, OH 44202 Job Title: Manufacturing Process Engineer Duration: 4+ months (could go beyond) Description: · The Manufacturing Process Engineer position provides technical manufacturing support for the production of MRI RF Surface Coils. The position is a role with a strong focus on process simplification, cycle time and defect reduction across multiple product lines, and furthermore must be able to work autonomously. Key responsibilities include: · Validation of Manufacturing Execution System routes and data collection plans · Ensuring Regulatory compliance through Validation & Verification · Improving product quality · Maintaining and generating comprehensive procedures Quality Specific Goals: · Aware of and comply with the Quality Manual, Quality Management System, Quality Management Policy, Quality Goals, and applicable laws and regulations as they apply to this job type/position · Complete all planned Quality & Compliance training within the defined deadlines · Identify and report any quality or compliance concerns and take immediate corrective action as required · Knowledge and understanding of production process Work Instructions and operates within them to ensure that a device conforms to its specifications · Ensures the creation of accurate, complete and timely records and DHRs Qualifications Qualifications: · BS or AS in Engineering or Technical Degree · Proficiency in MS (Word, Excel, etc.) Preferred Qualifications: · Electrical or electronics manufacturing experience · Labview, Agilent Vee or database programming knowledge · Strong oral and written communication skills · Strong technical acumen · Highly motivated, energetic, and creative · Computer science or engineering degree / background Additional Information To know more about this position and to apply, please contact: Ujjwal Mane **************************** ************