Machining Engineer jobs at Rincon Research

Rocket Lab is an end-to-end space company delivering responsive launch services, complete spacecraft design and manufacturing, payloads, satellite components, and more - all with the goal of opening access space. The rockets and satellites we build, and launch enable some of the most ambitious and vital space missions globally, supporting scientific exploration, Earth observation and missions to combat climate change, national security, and exciting new technology demonstrations. Our Electron rocket has become the second most frequently launched U.S. rocket annually and has delivered more than 230 satellites to orbit, all while we work to develop Neutron, our upcoming medium-lift, reusable launch vehicle for larger constellation deployment. Our Space Systems business designs and builds our extensive line of satellites, payloads, and their components, including spacecraft that have been selected to support NASA missions to the Moon and Mars and components used on the James Webb Space Telescope. SPACE SYSTEMS At Rocket Lab, we're not just launching rockets - we're building the future of space. Our Space Systems team builds everything from complete spacecraft, precision payloads to the components and subsystems that allow them to thrive in space, like solar panels, flight software, star trackers, optical systems, separation systems, radios, and more. Our Space Systems team has enabled more than 1,700 missions, ranging from interplanetary exploration, in-space manufacturing to national security and defense initiatives. The team has built spacecraft, payloads, and components for missions to the Moon and Mars, working with partners including NASA, the Space Development Agency, and the U.S. Space Force. Whether it's a single high-performance spacecraft, constellation, or the vertically integrated components that help them get to space - our world class Space Systems team is empowering some of the boldest and most ambitious space missions. SENIOR MACHINE LEARNING ENGINEER I Rocket Lab's Optical Systems division solves mission-critical space domain and Intelligence, Surveillance, and Reconnaissance (ISR) challenges for Department of Defense (DoD) and Intelligence Community (IC) customers. Our vision is to revolutionize the space-based payload market with innovative and novel designs for space, terrestrial, and airborne environments. Building on more than 20 years of electro-optical and infrared systems innovation from Geost, Optical Systems delivers solutions to the warfighter for responsive, scalable sensing solutions across all orbital domains. As a Senior Machine Learning Engineer I based at our Optical Systems site in Chantilly, VA, you will have the opportunity to collaborate with researchers on high-impact ML, AI, and computer vision projects. Join a driven team of pioneers relentlessly tackling challenging projects, delivering on the impossible, and making an impact on the future of space! WHAT YOU'LL GET TO DO: Collaborate with researchers on projects related to machine learning, artificial intelligence, and computer vision Perform rapid prototyping and enhanced development to be integrated into operational systems Contribute your strong programming ability and experience to develop robust solutions for real-world problems Validate, optimize, and deploy advanced exploitation algorithms Perform troubleshooting, bug fixes, and maintenance of existing and new code to ensure stability and robustness. Perform other duties as assigned Ability to support travel or off-site work, as needed YOU'LL BRING THESE QUALIFICATIONS: Bachelor's degree in computer science, electrical or computer engineering, mechanical engineering, physics, or other field 5+ years of software experience Active TS/SCI U.S. Government Security Clearance Proficiency in Python Experience with deep learning libraries (PyTorch, TensorFlow, etc.) Strong background in both classical and modern (deep learning) machine learning including model selection, architecting, training, validation, testing, and deployment Understanding of a variety of machine learning tasks, e.g. Object Detection, Segmentation, Re-Identification, Tracking, Super Resolution Ability to apply modern AI approaches to solve real-world problems THESE QUALIFICATIONS WOULD BE NICE TO HAVE: Machine learning experience with imagery or 3-D data Master's degree or PhD in computer science, electrical or computer engineering, mechanical engineering, physics, or other science or engineering field Classical machine learning methods Experience with AWS, docker, Agile development Experience curating quality, real-world datasets for training deep learning models Proficiency in C++, MATLAB ADDITIONAL REQUIREMENTS: Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception, and the ability to focus Regularly required to sit, use hands and fingers, operate computer keyboard and controls, and communicate verbally and in writing Must be physically able to commute to buildings Occasional exposure to dust, fumes and moderate levels of noise WHAT TO EXPECT We're on a mission to unlock the potential of space to improve life on Earth, but that's not an easy task. It takes hard work, determination, relentless innovation, teamwork, grit, and an unwavering commitment to achieving what others often deem impossible. Our people out-think, out-work and out-pace. We pride ourselves on having each other's backs, checking our egos at the door, and rolling up our sleeves on all tasks big and small. We thrive under pressure, work to tight deadlines, and our focus is always on how we can deliver, rather than dwelling on the challenges that stand in the way. Important information: FOR CANDIDATES SEEKING TO WORK IN US OFFICES ONLY: To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), Rocket Lab Employees must be a U.S. citizen, lawful U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum, or be eligible to obtain the required authorizations from the U.S. Department of State and/or the U.S. Department of Commerce, as applicable. Learn more about ITAR here. Rocket Lab provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment at Rocket Lab, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Applicants requiring a reasonable accommodation for the application/interview process for a job in the United States should contact Giulia Johnson at ***********************.This dedicated resource is intended solely to assist job seekers with disabilities whose disability prevents them from being able to apply/interview. Only messages left for this purpose will be considered. A response to your request may take up to two business days. FOR CANDIDATES SEEKING TO WORK IN NEW ZEALAND OFFICES ONLY: For security reasons background checks will be undertaken prior to any employment offers being made to an applicant. These checks will include nationality checks as it is a requirement of this position that you be eligible to access equipment and data regulated by the United States' International Traffic in Arms Regulations. Under these Regulations, you may be ineligible for this role if you do not hold citizenship of Australia, Japan, New Zealand, Switzerland, the European Union or a country that is part of NATO, or if you hold ineligible dual citizenship or nationality. For more information on these Regulations, click here ITAR Regulations.

Are you ready to join a team of innovators and play a critical role in shaping the future of Artificial Intelligence? We're seeking a highly motivated and experienced Artificial Intelligence Engineer to join our Lockheed Martin Artificial Intelligence Center (LAIC) team. As a key member of our Applied AI team, you'll have the opportunity to work on high-impact projects, develop and apply cutting-edge AI technologies, and collaborate with cross-functional teams to drive innovation and experimentation. What you'll be doing: Develop and apply current AI paradigms, including computer vision, deep learning, and reinforcement learning, to solve complex signal processing problems and field innovative solutions. Engage in every phase of the system development lifecycle, including requirements generation, system and software design, implementation, integration, and flight test. Take ownership of critical tasks and lead technical teams to deliver high-quality solutions. Participate in the development of proposals and whitepapers to secure funding for AI research and development projects. Assume technical lead responsibilities and mentor junior engineers to help them develop their skills and expertise. Work collaboratively with cross-functional teams to develop and deploy AI solutions. Communicate complex technical concepts and solutions to non-technical stakeholders. 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 experienced Artificial Intelligence Engineer with: A strong background in software engineering, artificial intelligence, and machine learning. A strong background in signal processing theory and application (radar, communication, electronic warfare, sonar, audio, or biomedical). Experience with current AI paradigms, including computer vision, deep learning, and reinforcement learning. Proficiency in programming languages such as Python, Java, or C++. Self-motivation, strong work ethic, and time management skills. Excellent interpersonal and communication skills. A Bachelor's degree in a relevant field, such as computer science, electrical engineering, or mathematics. 5+ years of experience in AI or a related field. Work Location: The preferred work locations for this position are Lockheed Martin facilities in Moorestown, NJ, Valley Forge, PA, Littleton, CO, Fort Worth, TX, Liverpool, NY, Owego, NY, and Shelton, CT. Remote work arrangements may also be considered for qualified candidates. #LMLAIC Basic Qualifications • Master's or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field • Experience in languages: C++ or Python • Experience in ML frameworks & libraries: JAX (preferred), or PyTorch, or TensorFlow • Experience in Reinforcement Learning Desired skills Software Architecture: • Experience interfacing with gov-supplied sim & networks • Comfortable working in simulation & gym environments • Experience with DevOps tools: Docker, Git [GitLab, GitHub], Continuous Integration [CI], Continuous Deployment [CD] • Knowledge of MLOps pipeline and modern machine learning techniques Research: • Research experience in Agentic AI, intelligent agent architecture, development, and integration • Familiarity with computational neuroscience, psychology, specifically decision making and theory of mind • Solid mathematical foundation: linear algebra, graph theory • Game theory, control theory, optimization, information theory • Experience in Offline Reinforcement Learning, and Multi-Agent Reinforcement Learning General: • Experience using cloud-computing resources for training • Experience developing applications on Linux • Familiarity with high-performance computing • Track record of being able to go deep on research topic, or published research papers 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. Other Important Information 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 Schedule Information 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. 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 $132,900 - $234,370. 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. Pay Rate: The annual base salary range for this position in most major metropolitan areas in California, Massachusetts, and New York is $152,900 - $264,960. 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. This position is incentive plan eligible.

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity Adobe is looking for a Machine Learning Engineer who will apply AI and machine learning techniques to big-data problems to help Adobe better understand, lead and optimize the experience of its customers. Partnering with the business units, the candidate will be building various products that address challenging business problems through our customers' full lifecycle, from customer analytics to marketing media optimization. By using statistical and econometric methods, predictive models, experimental design methods, and optimization techniques, the candidate will be working on the research and development of exciting projects like attribution, media mix modeling, budget optimization, personalization, causal analysis, time series analysis. Ideal candidates will have a strong academic background as well as technical skills including applied statistics, machine learning, data mining, and software development. Familiarity with working with large-scale datasets and big data techniques would be a plus. What You'll Do * Develop predictive models on large-scale datasets to address various business problems with advanced statistical modeling, machine learning, and analytics techniques. * Develop and implement scalable and efficient modeling algorithms that can work with large-scale data in production systems * Collaborate with product management and engineering groups to develop new products and features. What You Need to Succeed * PhD or MS in Computer Science, Statistics, Electrical Engineering, Applied Math, Operations Research, Econometrics or equivalent experience required * 0-2+ years of experience in specific skill/field(s) * Deep understanding of statistical modeling, machine learning, deep learning, or data mining concepts, and a track record of solving problems with these methods. * Proficient in one or more programming languages such as Python, Scala, Java and C * Familiar with one or more machine learning or statistical modeling tools such as R, Matlab and scikit learn * Knowledge and experience of working with relational databases and SQL * Strong analytical and quantitative problem-solving ability. * Excellent communication, relationship skills and a strong team player. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $102,400 -- $202,250 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $139,700 - $202,250 In New York, the pay range for this position is $139,700 - $202,250 In Washington, the pay range for this position is $127,700 - $185,000 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Colorado: Application Window Notice There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.

SAIC is seeking a AI Machine Learning Engineer to help transition to new Artificial Intelligence (AI) technologies, modernizing current collection processes. In this role you will be expected to train machine learning models and provide support for the productization and development of AI-based systems for use as part of the Customer's collection mechanisms. This Customer Office is the force of choice for the development of global infrastructure and delivery of solutions that drive influence operations. This position is in Chantilly, VA and requires an active TS/SCI clearance with Polygraph. JOB RESPONSIBILITES INCLUDE: * Train machine learning models in a variety of ways, to meet a variety of functions, including but not limited to: * Synthesis of code to be used for automated webscrapes. * Automation of other functions related to webscrapes. * Detection and "self-healing" of scrapes. * Automated visual detection of object types (like types of vehicles, license plates, etc.) within video data. * Automated review and analysis of terms of service of companies. * Automating open source collection of data that could be used to train AI/ML systems and models. * Provide Model training based on training data that may need to be acquired from other components. * Create complete AI-based systems, which may include multiple inputs, models, human-review processes and outputs ETL processes and databases. * Provide Productization and development of AI-bases systems for use as part of collection mechanisms. * Provide support to operational elements that are using these systems including break fix work and software updates. * Research AL/ML technologies in open source to ensure that applicable cutting edge technologies and capabilities are being brought to bear on Sponsor efforts. * Support the efforts to collaborate with other elements across the Sponsor and community that are engaged in AI efforts. * Frame and scale data problems to effectively analyze, visualize and find data solutions. * Develop and support scalable and secure functionality into software applications, focusing on integrating and implementing Artificial Intelligence (AI) algorithms and logic into the deliverables of an IT project. * Understand business objectives and develop models that help to achieve them, along with metrics to track progress. * Derive insights and analytic narratives from data and visualizations for effective storytelling and clear communication in response to specific research questions. * Analyze technology trends related to Artificial Intelligence (AI) and Machine Learning (ML), and their strategic implications. * Perform independent technical research in relevant areas; robotics, autonomy, software, engineering, data analysis. * Collaborate with customers and stakeholders to understand and assess business requirements and define AI solutions to align with architectural framework and meet business needs. * Program a system to look for or seek out specific conditions and respond based on those factors. Qualifications * Active TS/SCI with polygraph. * Bachelors in computer science, information systems, or a related field and 9 years or more experience; Masters and 7 years or more experience ; PhD or JD and 4 years or more experience. * Demonstrated experience with the ability to understand and automate customer workflows and business processes with AI solutions. * Demonstrated experience in data structures, data modeling, and software architecture. * Demonstrated, in-depth experience and knowledge of machine learning tools and frameworks such as PyTorch, and Tensorflow. * Extensive math and computer science skills, with a deep understanding of probability, statistics, and algorithms. * Ability to program in AI/ML specific languages, such as Python, Jav, C++, and Conda. * Experience training AI models, as well as in integrating pre-trained models into dataflows and software architectures. DESIRED SKILLS: * Experience implementing secure AI solutions in the Intelligence Community. * Ability to work with highly sensitive data sets. * Experience in leading AI/ML initiatives. * In-depth knowledge of implementing ETL (Enhance/Transform/Load) pipeline. * In-depth knowledge in implementing solutions in Amazon Web Services. Overview SAIC accepts applications on an ongoing basis and there is no deadline. SAIC is a premier Fortune 500 mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, civilian and intelligence markets includes secure high-end solutions in mission IT, enterprise IT, engineering services and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives. We are approximately 24,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.5 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

SAIC is seeking a **AI Machine Learning Engineer** to help transition to new Artificial Intelligence (AI) technologies, modernizing current collection processes. In this role you will be expected to train machine learning models and provide support for the productization and development of AI-based systems for use as part of the Customer's collection mechanisms. This Customer Office is the force of choice for the development of global infrastructure and delivery of solutions that drive influence operations. This position is in **Chantilly, VA** and requires an **active TS/SCI clearance with Polygraph.** **JOB RESPONSIBILITES INCLUDE:** + Train machine learning models in a variety of ways, to meet a variety of functions, including but not limited to: + Synthesis of code to be used for automated webscrapes. + Automation of other functions related to webscrapes. + Detection and "self-healing" of scrapes. + Automated visual detection of object types (like types of vehicles, license plates, etc.) within video data. + Automated review and analysis of terms of service of companies. + Automating open source collection of data that could be used to train AI/ML systems and models. + Provide Model training based on training data that may need to be acquired from other components. + Create complete AI-based systems, which may include multiple inputs, models, human-review processes and outputs ETL processes and databases. + Provide Productization and development of AI-bases systems for use as part of collection mechanisms. + Provide support to operational elements that are using these systems including break fix work and software updates. + Research AL/ML technologies in open source to ensure that applicable cutting edge technologies and capabilities are being brought to bear on Sponsor efforts. + Support the efforts to collaborate with other elements across the Sponsor and community that are engaged in AI efforts. + Frame and scale data problems to effectively analyze, visualize and find data solutions. + Develop and support scalable and secure functionality into software applications, focusing on integrating and implementing Artificial Intelligence (AI) algorithms and logic into the deliverables of an IT project. + Understand business objectives and develop models that help to achieve them, along with metrics to track progress. + Derive insights and analytic narratives from data and visualizations for effective storytelling and clear communication in response to specific research questions. + Analyze technology trends related to Artificial Intelligence (AI) and Machine Learning (ML), and their strategic implications. + Perform independent technical research in relevant areas; robotics, autonomy, software, engineering, data analysis. + Collaborate with customers and stakeholders to understand and assess business requirements and define AI solutions to align with architectural framework and meet business needs. + Program a system to look for or seek out specific conditions and respond based on those factors. **Qualifications** + Active TS/SCI with polygraph. + Bachelors in computer science, information systems, or a related field and 9 years or more experience; Masters and 7 years or more experience ; PhD or JD and 4 years or more experience. + Demonstrated experience with the ability to understand and automate customer workflows and business processes with AI solutions. + Demonstrated experience in data structures, data modeling, and software architecture. + Demonstrated, in-depth experience and knowledge of machine learning tools and frameworks such as PyTorch, and Tensorflow. + Extensive math and computer science skills, with a deep understanding of probability, statistics, and algorithms. + Ability to program in AI/ML specific languages, such as Python, Jav, C++, and Conda. + Experience training AI models, as well as in integrating pre-trained models into dataflows and software architectures. **DESIRED SKILLS:** + Experience implementing secure AI solutions in the Intelligence Community. + Ability to work with highly sensitive data sets. + Experience in leading AI/ML initiatives. + In-depth knowledge of implementing ETL (Enhance/Transform/Load) pipeline. + In-depth knowledge in implementing solutions in Amazon Web Services. REQNUMBER: 2510517 SAIC is a premier technology integrator, solving our nation's most complex modernization and systems engineering challenges across the defense, space, federal civilian, and intelligence markets. Our robust portfolio of offerings includes high-end solutions in systems engineering and integration; enterprise IT, including cloud services; cyber; software; advanced analytics and simulation; and training. We are a team of 23,000 strong driven by mission, united purpose, and inspired by opportunity. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $6.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see Working at SAIC. EOE AA M/F/Vet/Disability

Job Category: Information Technology Time Type: Full time Minimum Clearance Required to Start: TS/SCI with Polygraph Employee Type: Regular Percentage of Travel Required: None Type of Travel: None * * * The Opportunity: CACI is seeking a Software Developer with AI experience to join our dynamic team. This role will focus on developing and implementing AI solutions to enhance our enterprise-level IT operations. The Developer will work closely with cross-functional teams to design, develop, and deploy AI-driven applications that improve efficiency, automate processes, and provide valuable insights. Responsibilities: Develop and maintain machine learning pipelines and applications using Python and modern ML frameworks * Implement and optimize algorithms for large language model (LLM) integration and deployment * Build RESTful APIs and microservices to serve ML models in production environments * Write clean, maintainable, and well-documented code following object-oriented programming principles * Collaborate with cross-functional teams to understand requirements and translate them into technical solutions * Work with databases (SQL,NoSQL and Vector) to manage training data, model artifacts, and application state * Containerize ML applications using Docker for consistent deployment across environments * Utilize Git for version control and participate in code reviews to maintain code quality * Conduct testing and debugging of ML applications to ensure reliability and accuracy * Support the deployment and monitoring of AI/ML models in cloud environments * Stay current with emerging trends in machine learning, LLMs, and AI engineering best practices Qualifications: Required: * Active TS/SCI clearance with Poly * Bachelor's degree in computer science, Software Engineering, Data Science, or related technical field with 5 years of professional experience in software development or machine learning engineering * Strong proficiency in Python programming with solid understanding of object-oriented programming (OOP) concepts, design patterns, data structures, and algorithms * Experience with development tools and practices including Git version control, Docker containerization, and database management (SQL and/or NoSQL) * Knowledge of LLM technologies including exposure to Large Language Models, orchestration frameworks (LangChain, LangGraph), * Understanding of RAG architectures and vector databases (ChromaDB, Pinecone, Weaviate, or similar) for building intelligent retrieval systems * Strong problem-solving abilities, attention to detail, excellent communication skills, and eagerness to learn in a collaborative team environment Desired: * Master's degree in computer science or related field * Experience with cloud platforms (AWS, Azure, or Google Cloud) and knowledge of MLOps practices for ML model deployment and monitoring * Experience with container orchestration and DevOps including Kubernetes, Rancher, CI/CD pipelines, and infrastructure automation tools like Ansible * Familiarity with enterprise platforms such as ServiceNow, SAP, Tableau, or Splunk * Contributions to open-source ML projects and familiarity with Agile development methodologies * ________________________________________________________________________________________ What You Can Expect: A culture of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation. An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy. Your potential is limitless. So is ours. Learn more about CACI here. ________________________________________________________________________________________ Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here. The proposed salary range for this position is: $113,200 - $237,800 CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

Chantilly, VA, USA Full-time FLSA Status: Exempt Clearance Requirement: Top Secret SCI w/ Poly ** Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide. **Job Description** **Overview** SOSi is seeking a skilled Machine Learning Engineer to support a US government customer in Chantilly, VA. In this job you will work with other talented data scientists, software developers, and SMEs to apply the best practices and state of the art data science and machine learning processes. This role requires the ability to solve complex problems independently and collaboratively in a dynamic work environment. Strong communication skills are essential for translating technical concepts to non-technical stakeholders and delivering actionable insights. **Essential Job Duties** + Leverage data science and machine learning processes to answer mission challenges. + Develop and iterate rapid prototype solutions, leveraging open-source models and technologies where possible + Flexibility to support topics such as object detection, data triage, search/optimization, image/video analysis, facial recognition, behavior detection, and automated discovery. + Apply excellent problem-solving skills to address technical challenges, both independently and as part of a team in a fast-paced environment. + Comprehend project requirements and execute tasks accordingly, ensuring alignment with project goals and timelines. + Effectively communicate technical concepts and deliver results to non-technical leadership and stakeholders, facilitating informed decision-making. **Qualifications** **Minimum Requirements** + Existing TS/SCI (with poly). This security clearance requires U.S. citizenship. Candidates will not be nominated for new clearances. + Minimum 5 years of experience in a data science/engineer role. + Experience developing and using agentic AI frameworks including Autogen. + Experience with prompt engineering beyond traditional code writing and debugging. Understanding of how to craft prompts for discrete tasks such as data labeling and processing. + Experience with asynchronous Python development using frameworks like Ray and FastAPI. + Experience developing and deploying AI/ML models as part of production systems, implementing software development best practices for scalability and reliability. + Experience developing and applying advanced machine learning methods including clustering, regression, optimization, recommender engines, and artificial neural networks. + Deploying models into multi-node Ray clusters utilizing various GPU resources. + Experience with developing and deploying resources to cloud environments. + Experience working in Linux and Windows environments and managing resources for efficiency. + Demonstrated ETL expertise. **Preferred Qualifications** + Bachelor's degree in Data Science, Statistics, Computer Science, or a related field; OR equivalent experience. + Experience in the US Intelligence Community. **Additional Information** **Work Environment** + Office setting with a combination of desk work and meetings. **Working at SOSi** All interested individuals will receive consideration and will not be discriminated against for any reason. SOSi is an equal employment opportunity employer and affirmative action employer. All interested individuals will receive consideration and will not be discriminated against on the basis of race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity, genetic information, or protected veteran status. SOSi takes affirmative action in support of its policy to advance diversity and inclusion of individuals who are minorities, women, protected veterans, and individuals with disabilities.

i3 has an exciting opportunity for a machine learning (ML) engineer to support the development of DoD systems. The ML engineer will develop and program neural network (NN)-based software solutions. Additionally, the ML engineer will aid in the analysis of artificial intelligence (AI)-enabled systems. Pay Range $132,000 - 234,000 The pay range for this position is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, geographic location, and any applicable laws. Responsibilities Prototype and implement software-based ML systems. Work with ML architect to research applicability of various NN architectures to specific problems. Python/C++ programming and debug of a NN-based software suite. Optimization of NN architectures to maximize performance. Generate technical documentation. Qualifications Bachelor's degree in electrical engineering, computer engineering, computer science, mathematics, or related field. Minimum 3 years of experience in a related field. Experience applying different NN architectures to classification problems. Ability to create and maintain a research codebase that produces robust and reproducible results. Experience developing/debugging software in Python and C++. Working knowledge of at least one ML framework (e.g. Pytorch). Strong mathematical background (i.e. optimization theory, regularization techniques, linear algebra, etc.). U.S. Citizenship required. Other duties as assigned. Preferred Qualifications: Experience and system knowledge to debug a training run's performance end to end. Intuition about latency and throughput characteristics of CUDA graphs and tensor core arithmetic. Experience with VHDL or Verilog. Experience writing technical documentation. Clearance Requirements: Ability to obtain a SECRET security clearance. PHYSICAL DEMANDS The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to talk or hear. The employee frequently is required to stand; walk; handle or feel; and reach with hands and arms. The employee is occasionally required to sit; climb or balance; and stoop, kneel, crouch or crawl. The employee must be able to lift and/or move up to 10 pounds and occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and ability to adjust focus. Regular i3 hours are 8:00 a.m. - 5:00 p.m. Monday-Friday, however, additional hours may be required on occasion. Regular and punctual attendance is required. About i3 i3 is a technically diverse, 100% team member owned business, headquartered in Huntsville, Alabama specializing in missile and aviation systems engineering and logistic services, electronic warfare and electromagnetic effects analysis, UAS system integration and flight operations, full lifecycle C5ISR engineering services, cybersecurity and IT/IA innovative solutions and virtual training, simulation & serious game development and implementation. We have established a broad offering of products and capabilities collectively providing decades of experience supporting the full complement of DoD military services, Missile Defense Agency, National Aeronautics and Space Administration, and a variety of other Government organizations and private industry customers. Perks of being a team member owner include: Long-term financial security Higher job satisfaction Greater job security Personal and professional growth Great company culture Other outstanding benefits: Excellent insurance coverage 401(k) match Generous PTO Health and wellness incentives Tuition and certification reimbursement Countless opportunities to give back to the community through i3 Cares We work hard. We compete hard. We play hard. Apply now to join us!

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. The Copilots Engineering team is responsible for developing and maintaining Machine Learning and AI solutions leveraging our Gradient Platform. This team is responsible for innovating in this new area to bring new AI based solutions to cloud infrastructure operations. Continuing with our mission of DO simplicity our customers look to DO for innovation to improve infrastructure engineering, workload performance, and system reliability while lowering costs. Thus, building automations through DO's Gradient Platform is imperative to keep our customers focused on developing their business. We are seeking highly motivated and skilled engineers in US locations: Austin, Boston, Denver, San Francisco Bay Area, and Seattle. You will play a critical role to ensure product experiences at all stages of the developers' journeys enable a DO-simple method to scale their business. You will join a team providing smooth operation of the AI solutions, providing technical support, managing operations, and driving efficiency through automation. This is an exciting opportunity to be a part of building a new team, developing in the new fast paced AI market, and making a significant impact on our company's growth. What You'll Be Doing: Develop gRPC APIs written in Go Lang to deliver solutions to target customer's Jobs To Be Done (JTBD). Collaborate with the team to define OKRs, driven by our product strategy, and develop roadmap items to successfully deliver on Key Results. Contribute to authoring of technical documents to deliver on feature development. Developing and improving AI Agent performance, correctness, and knowledge bases. Maintain and contribute to operational excellence and the stability of the platform. Contribute to quality assurance tooling and synthetic testing to proactively identify and address potential customer impacting issues. Collaborate with product teams on existing and new product launches to enable seamless integrations of services. Contribute to the documentation of processes, and customer instructions. What You'll Add to DigitalOcean: Strong technical aptitude and problem-solving skills. Proficiency in Go to develop gRPC and REST APIs. Hands-on knowledge of microservices and distributed systems, including technologies like Docker, Kubernetes, Kafka, MySQL, and Redis. Experience utilizing Large Language Models (LLMs) to develop agentic solutions. Strong interest in direct collaboration with customers to define their key Jobs To Be Done, and translate into features. Excellent communication and collaboration skills in written and spoken forms. Author technical documents in architecture and task definition. Ability to work independently and manage multiple priorities in a fast-paced environment. A proactive and detail-oriented approach. Compensation Range: $114,160- $142,700 *This is a remote role #LI-Remote #LI-UK1 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. Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.

The Aerospace Corporation is the trusted partner to the nation's space programs, solving the hardest problems and providing unmatched technical expertise. As the operator of a federally funded research and development center (FFRDC), we are broadly engaged across all aspects of space- delivering innovative solutions that span satellite, launch, ground, and cyber systems for defense, civil and commercial customers. When you join our team, you'll be part of a special collection of problem solvers, thought leaders, and innovators. Join us and take your place in space. Information Systems and Cyber Division (ISCD) staff couple the latest in information system technologies, such as elastic compute clouds, containerization, microservices, real-time operating systems, and visualization frameworks, with expertise in cyber security, software architecture, software engineering, data science, Artificial Intelligence, process improvement, and software development to deliver responsive, resilient, high-performance software intensive systems to our Intelligence Community, DoD, and civilian customers. The Data Science and Artificial Intelligence Department (DSAID) seeks a creative and enthusiastic Machine Learning Engineer to join a diverse team of engineers, data scientists, and programmers with a passion for researching, prototyping, understanding, and building AI and data enabled tools across the space enterprise. We are a growing, innovative, and collaborative department that makes meaningful contributions to National Security Space (AF, NRO, etc.), and Civil and Commercial customers (NASA, MDA, DHS, etc.). This position is for the Machine Learning Engineering section, where we focus on translating cutting-edge AI research into robust, scalable, and production-ready machine learning solutions. We bridge the gap between theoretical ML solutions and real-world impact by optimizing and scaling ML models, designing and building robust ML software architectures, providing expertise in harnessing the latest advancements in compute hardware, and implementing MLOps and Trusted AI best practices. This is a full-time position based in Chantilly, VA which requires 100% onsite work. What You'll Be Doing DSAID's customers range from National Security Space (AF, NRO, etc.) to civil (NASA, NOAA, etc.) and commercial (commercial space, autonomous vehicles, etc.) DSAID applies data science and AI knowledge across the space enterprise, to Aerospace enterprise capabilities, and towards corporate workforce development and strategic focus areas Machine Learning Engineers learn and develop their skills by working on teams spanning disciplines, experience levels, and organizational boundaries. Primary functions include: Evaluation of technologies for use in scalable and resilient mission-critical applications in a production environment Coordinated development and execution of AI/ML experiments Coordinated development of proof-of-concept infrastructure configuration and software prototypes Collaboration with small, innovative teams to deliver features and products Written and verbal presentation of results to team members and stakeholders Reinforcing an environment of learning and progress with team members and others Focus on accountability and innovation in leadership competency development Duties, responsibilities and activities may change, or new ones may be assigned as needed Machine learning engineers must maintain a commitment to ongoing learning in order to stay current with government missions and the ever-changing climate of data science and AI. This requires both ongoing education in relevant domains, such as physics, math, and/or computer science, as well as an understanding of the existing systems and future objectives of government missions. What You Need to be Successful Minimum Requirements for the Machine Learning Engineer- Senior Member of Technical Staff Bachelors or Master's degree in Computer Science, Computer Information Systems, Electrical or Computer Engineering or related technical field(s) 5 or more years of experience in Data Scientist or Machine Learning Engineer or AI/ML Researcher role in any domain Strong proficiency in at least two different programming languages (e.g. Python, R, C/C++), and ML frameworks including familiarity with machine learning and deep learning libraries in Python Hands on experience with container orchestration tooling(Docker, Kubernetes, etc.) Experience with and understanding of software engineering concepts with an AI focus (MLOps/DevOps, ML Development Lifecycle, data structures, etc.) Working knowledge of Unix/Linux operating systems This position requires ability to obtain and maintain a security clearance, which is issued by the US government. U.S citizenship is required to obtain a security clearance. In addition to the above, the minimum requirements for the Machine Learning Engineer- Engineering Specialist : 8 or more years of experience in Data Scientist or Machine Learning Engineer or AI/ML Researcher role in any domain Demonstrated experience architecting, designing, or implementing enterprise-scale AI/ML solutions with multiple tenants and cloud integration Hands on Experience with MLOps and Data Engineering tools (e.g., MLFlow, Kubeflow, Neptune, Airflow, DVC) How You Can Stand Out It would be impressive if you have one or more of these: Advanced degree in Computer Science, Computer Information Systems, Electrical or Computer Engineering, or related field(s) Experience in designing or managing enterprise-level ML platforms and production-grade ML models at scale Familiarity with High Performance Computing hardware for ML (GPUs, TPUs), CUDA programming, and advanced ML optimization techniques and architectures Demonstrated ability to exercise judgement and critical thinking in a scientific discipline Experience implementing and guiding teams toward software development best practices Experience in SQL, NoSQL, Cypher and other big data querying languages Experience with big data frameworks (Hadoop, Spark, Flink etc.) Familiarity with data pipelining and streaming technologies (Apache Kafka, temporal, etc.) Demonstrated contributions to open-source software repositories (github, kaggle, etc.) Experience deploying ML models on cloud platforms (AWS, Azure, etc.) Domain expertise relevant to one or more customer organization mission areas (USSF, NRO, etc.) Active security clearance Leadership Competencies Our leadership philosophy is simple: every employee, regardless of level and role, can demonstrate leadership. At Aerospace, our commitment is our people. To cultivate our talent and ensure that we have a strong pipeline of future leaders, we want individuals who: Operate Strategically Lead Change Engage with Impact Foster Innovation Deliver Results Ways We Reward Our Employees During your interview process, our team will provide details of our industry-leading benefits. Benefits vary and are applicable based on Job Type. A few highlights include: Comprehensive health care and wellness plans Paid holidays, sick time, and vacation Standard and alternate work schedules, including telework options 401(k) Plan - Employees receive a total company-paid benefit of 8%, 10%, or 12% of eligible compensation based on years of service and matching contributions; employees are immediately eligible and vested in the plan upon hire Flexible spending accounts Variable pay program for exceptional contributions Relocation assistance Professional growth and development programs to help advance your career Education assistance programs A work environment built on teamwork, flexibility, and respect We are all unique, from various backgrounds and all walks of life, yet one thing bonds all of us to each other-the belief that we can make a difference. This core belief empowers us to do our best work at The Aerospace Corporation. Equal Opportunity Commitment The Aerospace Corporation is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, age, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender, gender identity or expression, color, religion, genetic information, marital status, ancestry, national origin, protected veteran status, physical disability, medical condition, mental disability, or disability status and any other characteristic protected by state or federal law. If you're an individual with a disability or a disabled veteran who needs assistance using our online job search and application tools or need reasonable accommodation to complete the job application process, please contact us by phone at ************ or by email at ****************************** . You can also review Know Your Rights: Workplace Discrimination is Illegal.

This role is with Mercor. Mercor uses RippleMatch to find top talent. At Mercor, we're building the talent engine that helps leading labs and research orgs move AI forward. Our latest initiative focuses on benchmarking and improving model performance and training speed across real ML workloads. If you're an early-career Machine Learning Engineer or an ML PhD who cares about innovation and impact, we'd love to meet you. What to Expect As a Machine Learning Engineer, you'll tackle diverse problems that explore ML from unconventional angles. This is a remote, asynchronous, part-time role designed for people who thrive on clear structure and measurable outcomes. Schedule: Remote and asynchronous-set your own hours Commitment: ~20 hours/week Duration: Through December 22nd, with potential extension into 2026 What You'll Do Draft detailed natural-language plans and code implementations for machine learning tasks Convert novel machine learning problems into agent-executable tasks for reinforcement learning environments Identify failure modes and apply golden patches to LLM-generated trajectories for machine learning tasks What You'll Bring Experience: 0-2 years as a Machine Learning Engineer or a PhD in Computer Science (Machine Learning coursework required) Required Skills: Python, ML libraries (XGBoost, Tensorflow, scikit-learn, etc.), data prep, model training, etc. Bonus: Contributor to ML benchmarks Location: MUST be based in the United States Compensation & Terms Rate: $80-$120/hr, depending on region and experience Payments: Weekly via Stripe Connect Engagement: Independent contractor How to Apply Submit your resume on Mercor's website Complete the System Design Session (< 30 minutes) Fill out the Machine Learning Engineer Screen (

This role is with Mercor. Mercor uses RippleMatch to find top talent. At Mercor, we're building the talent engine that helps leading labs and research orgs move AI forward. Our latest initiative focuses on benchmarking and improving model performance and training speed across real ML workloads. If you're an early-career Machine Learning Engineer or an ML PhD who cares about innovation and impact, we'd love to meet you. What to Expect As a Machine Learning Engineer, you'll tackle diverse problems that explore ML from unconventional angles. This is a remote, asynchronous, part-time role designed for people who thrive on clear structure and measurable outcomes. Schedule: Remote and asynchronous-set your own hours Commitment: ~20 hours/week Duration: Through December 22nd, with potential extension into 2026 What You'll Do Draft detailed natural-language plans and code implementations for machine learning tasks Convert novel machine learning problems into agent-executable tasks for reinforcement learning environments Identify failure modes and apply golden patches to LLM-generated trajectories for machine learning tasks What You'll Bring Experience: 0-2 years as a Machine Learning Engineer or a PhD in Computer Science (Machine Learning coursework required) Required Skills: Python, ML libraries (XGBoost, Tensorflow, scikit-learn, etc.), data prep, model training, etc. Bonus: Contributor to ML benchmarks Location: MUST be based in the United States Compensation & Terms Rate: $80-$120/hr, depending on region and experience Payments: Weekly via Stripe Connect Engagement: Independent contractor How to Apply Submit your resume on Mercor's website Complete the System Design Session (< 30 minutes) Fill out the Machine Learning Engineer Screen (

Requirements Bachelor's degree in Mechanical, Architectural, or related engineering discipline 5 or more years of experience with HVAC or mechanical system design (AHUs, ducting, fans, motors, or related systems) Familiarity with ASHRAE, ISO, ANSI, or similar mechanical/air quality standards Experience with filtration systems or air quality technologies in industrial, commercial, or laboratory environments Field experience in troubleshooting or optimizing filtration and air handling performance Preferred Skills and Certifications Experience with HEPA/ULPA, activated carbon, UVGI, or other advanced filtration systems Experience with specialized air systems (cleanrooms, BSL labs, high-purity manufacturing, or defense applications) Experience leading mechanical design projects through installation, submittals, and system startup Professional Engineering license (active or ability to reactivate) WE OFFER AN EXCEPTIONAL EMPLOYEE BENEFITS PACKAGE! Competitive Industry Pay 100% Employer-Paid Medical Insurance Premium HSA with Employer Contributions Dental and Vision Coverage Options Paid Holidays Paid Vacation and Sick leave Company Funded 401(k) and Profit Sharing Plans Employee Stock Ownership Plan (ESOP) Life and Disability Insurance Paid Parental Leave Discretionary Bonus Eligibility The annual pay range for the Mechanical Engineer position is $125,000 to $165,000. The posted pay range values provide the candidate with guidance on annual base compensation for the position, at a full time level of effort, exclusive of overtime, bonus, and benefits-related compensation, over a range of qualifications that may fit hiring objectives. Toyon Research Corporation will consider the individual candidate's education, work experience, applicable knowledge, skills and training, among other factors, when preparing an offer of employment. Pay Transparency Nondiscrimination Provision Equal Opportunity Employer including Disability and Veterans Applicant Privacy Notice Learn more about our company in our latest video, We are Toyon. The application window for this posting will remain open until the position is filled. Ref #2622a-G

Rocket Lab is an end-to-end space company delivering responsive launch services, complete spacecraft design and manufacturing, payloads, satellite components, and more - all with the goal of opening access space. The rockets and satellites we build, and launch enable some of the most ambitious and vital space missions globally, supporting scientific exploration, Earth observation and missions to combat climate change, national security, and exciting new technology demonstrations. Our Electron rocket has become the second most frequently launched U.S. rocket annually and has delivered more than 230 satellites to orbit, all while we work to develop Neutron, our upcoming medium-lift, reusable launch vehicle for larger constellation deployment. Our Space Systems business designs and builds our extensive line of satellites, payloads, and their components, including spacecraft that have been selected to support NASA missions to the Moon and Mars and components used on the James Webb Space Telescope. SPACE SYSTEMS At Rocket Lab, we're not just launching rockets - we're building the future of space. Our Space Systems team builds everything from complete spacecraft, precision payloads to the components and subsystems that allow them to thrive in space, like solar panels, flight software, star trackers, optical systems, separation systems, radios, and more. Our Space Systems team has enabled more than 1,700 missions, ranging from interplanetary exploration, in-space manufacturing to national security and defense initiatives. The team has built spacecraft, payloads, and components for missions to the Moon and Mars, working with partners including NASA, the Space Development Agency, and the U.S. Space Force. Whether it's a single high-performance spacecraft, constellation, or the vertically integrated components that help them get to space - our world class Space Systems team is empowering some of the boldest and most ambitious space missions. SENIOR MECHANICAL ENGINEER I/II, SPACE PAYLOADS - SECRET CLEARANCE Rocket Lab's Optical Systems division solves mission-critical space domain and Intelligence, Surveillance, and Reconnaissance (ISR) challenges for Department of Defense (DoD) and Intelligence Community (IC) customers. Our vision is to revolutionize the space-based payload market with innovative and novel designs for space, terrestrial, and airborne environments. Building on more than 20 years of electro-optical and infrared systems innovation from Geost, Optical Systems delivers solutions to the warfighter for responsive, scalable sensing solutions across all orbital domains. As a Senior Mechanical Engineer I/II based at our Optical Systems site in Tucson, AZ, you will have the opportunity to support multiple advanced space payload and IRAD programs. In this role you will contribute to technical programs across all phases, and be an integral part of the design, development, build, and test of flight hardware. To be successful in this role, you must bring curiosity, adaptability, a passion for teamwork, and keen attention to detail. Join a driven team of pioneers relentlessly tackling challenging projects, delivering on the impossible, and making an impact on the future of space! (Please note: this position can be hired at the Senior Mechanical Engineer I or Senior Mechanical Engineer II level) WHAT YOU'LL GET TO DO: Produce mechanical concepts and designs for a wide variety of hardware and projects Work with machine shops and vendors to complete fabrication of designs See designs through to successful integration and test Use investigative and trouble-shooting skills to assess issues and develop resolutions in the lab Work proactively to complete tasks with some modest direction Communicate effectively with direct supervisor, project management, customers, and team members across disciplines Significantly contribute to program and customer meetings and reviews Attend technical interchange meetings with team members and other project personnel, and represent the organization in matters pertaining to the development of the project(s) Provide status on assigned tasks and program schedules Provide document review and resolve technical engineering and integration issues Support travel as required, including working off-site QUALIFICATIONS YOU'LL BRING AS SENIOR MECHANICAL ENGINEER I: Bachelor's degree in engineering or other technical discipline Active Secret clearance with TS/SCI eligibility 5+ years of mechanical design experience Strong computer skills and experience with CAD modeling and drawing Ability to write clear and comprehensive technical documentation QUALIFICATIONS YOU'LL BRING AS SENIOR MECHANICAL ENGINEER II: Bachelor's degree in engineering or other technical discipline Active Secret clearance with TS/SCI eligibility 8+ years of mechanical design experience Strong computer skills and experience with CAD modeling and drawing Ability to write clear and comprehensive technical documentation THESE QUALIFICATIONS WOULD BE NICE TO HAVE: Experience with FEA/FEM Experience with FEA/FEM Experience with mechanism design Experience with materials engineering and processes Experience with environmental testing Experience with SolidWorks or NX Experience in implementation and understanding of Geometric Dimensioning & Tolerancing Experience as an REA (Responsible Engineering Authority) or familiarity with documentation process controls Experience with mechanical design associated with optical and electro-optical systems Hands-on expertise with optical systems, telescope systems, laser systems, and/or space systems Experience designing optical mounts for use in various demanding applications and environments Experience performing and working in a dynamic and high-visibility role Ability to manage time and resources in order to meet assigned deadlines Excellent written and verbal communication skills, and ability to problem solve Team player who incorporates a team-based success philosophy and seeks mentorship ADDITIONAL REQUIREMENTS: Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception, and the ability to focus. Regularly required to sit, use hands and fingers, operate computer keyboard and controls, and communicate verbally and in writing. Must be physically able to commute to buildings Occasional exposure to dust, fumes and moderate levels of noise. WHAT TO EXPECT We're on a mission to unlock the potential of space to improve life on Earth, but that's not an easy task. It takes hard work, determination, relentless innovation, teamwork, grit, and an unwavering commitment to achieving what others often deem impossible. Our people out-think, out-work and out-pace. We pride ourselves on having each other's backs, checking our egos at the door, and rolling up our sleeves on all tasks big and small. We thrive under pressure, work to tight deadlines, and our focus is always on how we can deliver, rather than dwelling on the challenges that stand in the way. Important information: FOR CANDIDATES SEEKING TO WORK IN US OFFICES ONLY: To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), Rocket Lab Employees must be a U.S. citizen, lawful U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum, or be eligible to obtain the required authorizations from the U.S. Department of State and/or the U.S. Department of Commerce, as applicable. Learn more about ITAR here. Rocket Lab provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment at Rocket Lab, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Applicants requiring a reasonable accommodation for the application/interview process for a job in the United States should contact Giulia Johnson at ***********************.This dedicated resource is intended solely to assist job seekers with disabilities whose disability prevents them from being able to apply/interview. Only messages left for this purpose will be considered. A response to your request may take up to two business days. FOR CANDIDATES SEEKING TO WORK IN NEW ZEALAND OFFICES ONLY: For security reasons background checks will be undertaken prior to any employment offers being made to an applicant. These checks will include nationality checks as it is a requirement of this position that you be eligible to access equipment and data regulated by the United States' International Traffic in Arms Regulations. Under these Regulations, you may be ineligible for this role if you do not hold citizenship of Australia, Japan, New Zealand, Switzerland, the European Union or a country that is part of NATO, or if you hold ineligible dual citizenship or nationality. For more information on these Regulations, click here ITAR Regulations.

Rocket Lab is an end-to-end space company delivering responsive launch services, complete spacecraft design and manufacturing, payloads, satellite components, and more - all with the goal of opening access space. The rockets and satellites we build, and launch enable some of the most ambitious and vital space missions globally, supporting scientific exploration, Earth observation and missions to combat climate change, national security, and exciting new technology demonstrations. Our Electron rocket has become the second most frequently launched U.S. rocket annually and has delivered more than 230 satellites to orbit, all while we work to develop Neutron, our upcoming medium-lift, reusable launch vehicle for larger constellation deployment. Our Space Systems business designs and builds our extensive line of satellites, payloads, and their components, including spacecraft that have been selected to support NASA missions to the Moon and Mars and components used on the James Webb Space Telescope. SPACE SYSTEMS At Rocket Lab, we're not just launching rockets - we're building the future of space. Our Space Systems team builds everything from complete spacecraft, precision payloads to the components and subsystems that allow them to thrive in space, like solar panels, flight software, star trackers, optical systems, separation systems, radios, and more. Our Space Systems team has enabled more than 1,700 missions, ranging from interplanetary exploration, in-space manufacturing to national security and defense initiatives. The team has built spacecraft, payloads, and components for missions to the Moon and Mars, working with partners including NASA, the Space Development Agency, and the U.S. Space Force. Whether it's a single high-performance spacecraft, constellation, or the vertically integrated components that help them get to space - our world class Space Systems team is empowering some of the boldest and most ambitious space missions. SENIOR MECHANICAL ENGINEER II/PRINCIPAL, SPACE PAYLOADS - ACTIVE TS/SCI CLEARANCE Rocket Lab's Optical Systems division solves mission-critical space domain and Intelligence, Surveillance, and Reconnaissance (ISR) challenges for Department of Defense (DoD) and Intelligence Community (IC) customers. Our vision is to revolutionize the space-based payload market with innovative and novel designs for space, terrestrial, and airborne environments. Building on more than 20 years of electro-optical and infrared systems innovation from Geost, Optical Systems delivers solutions to the warfighter for responsive, scalable sensing solutions across all orbital domains. As a Senior Mechanical Engineer II/Principal Mechanical Engineer based at our Optical Systems site in Tucson, AZ, you will have the opportunity to support multiple advanced space payload and IRAD programs. In this role you will contribute to and guide technical programs across all phases, and be an integral part of the design, development, build, and test of flight hardware. To be successful in this role, you must be comfortable driving mission critical solutions for prototype and production flight hardware, and bring adaptability, a passion for collaboration, and keen attention to detail. Join a driven team of pioneers relentlessly tackling challenging projects, delivering on the impossible, and making an impact on the future of space! (Please note: this position can be hired at the Senior Mechanical Engineer II or Principal Mechanical Engineer level) WHAT YOU'LL GET TO DO: Produce complex mechanical concepts and designs for a wide variety of hardware and projects Work with machine shops and vendors to complete fabrication of designs See designs through to successful integration and test Use investigative and trouble-shooting skills to assess issues and develop resolutions in the lab Work proactively to complete tasks with rare direction Communicate effectively with direct supervisor, project management, customers, and team members across disciplines Significantly contribute to program and customer meetings and reviews Attend technical interchange meetings with team members and other project personnel, and represent the organization in matters pertaining to the development of the project(s) Provide status on assigned tasks and program schedules Provide document review and resolve technical engineering and integration issues Support travel as required, including working off-site QUALIFICATIONS YOU'LL BRING AS SENIOR MECHANICAL ENGINEER II: Bachelor's degree in engineering or other technical discipline Active TS/SCI clearance 8+ years of mechanical design experience on space and/or optical programs Strong computer skills and experience with CAD modeling and drawing Ability to write clear and comprehensive technical documentation QUALIFICATIONS YOU'LL BRING AS PRINCIPAL MECHANICAL ENGINEER: Bachelor's degree in engineering or other technical discipline Active TS/SCI clearance 12+ years of mechanical design experience on space and/or optical programs Strong computer skills and experience with CAD modeling and drawing Ability to write clear and comprehensive technical documentation THESE QUALIFICATIONS WOULD BE NICE TO HAVE: Experience with FEA/FEM Experience with mechanism design Experience with materials engineering and processes Experience with environmental testing Experience with SolidWorks or NX Experience in implementation and understanding of Geometric Dimensioning & Tolerancing Experience as an REA (Responsible Engineering Authority) or familiarity with documentation process controls Experience with mechanical design associated with optical and electro-optical systems Hands-on expertise with optical systems, telescope systems, laser systems, and/or space systems Experience designing optical mounts for use in various demanding applications and environments Experience performing and working in a dynamic and high-visibility role Ability to manage time and resources in order to meet assigned deadlines Excellent written and verbal communication skills, and ability to problem solve Team player who incorporates a team-based success philosophy ADDITIONAL REQUIREMENTS: Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception, and the ability to focus Regularly required to sit, use hands and fingers, operate computer keyboard and controls, and communicate verbally and in writing Must be physically able to commute to buildings Occasional exposure to dust, fumes and moderate levels of noise WHAT TO EXPECT We're on a mission to unlock the potential of space to improve life on Earth, but that's not an easy task. It takes hard work, determination, relentless innovation, teamwork, grit, and an unwavering commitment to achieving what others often deem impossible. Our people out-think, out-work and out-pace. We pride ourselves on having each other's backs, checking our egos at the door, and rolling up our sleeves on all tasks big and small. We thrive under pressure, work to tight deadlines, and our focus is always on how we can deliver, rather than dwelling on the challenges that stand in the way. Important information: FOR CANDIDATES SEEKING TO WORK IN US OFFICES ONLY: To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), Rocket Lab Employees must be a U.S. citizen, lawful U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum, or be eligible to obtain the required authorizations from the U.S. Department of State and/or the U.S. Department of Commerce, as applicable. Learn more about ITAR here. Rocket Lab provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment at Rocket Lab, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Applicants requiring a reasonable accommodation for the application/interview process for a job in the United States should contact Giulia Johnson at ***********************.This dedicated resource is intended solely to assist job seekers with disabilities whose disability prevents them from being able to apply/interview. Only messages left for this purpose will be considered. A response to your request may take up to two business days. FOR CANDIDATES SEEKING TO WORK IN NEW ZEALAND OFFICES ONLY: For security reasons background checks will be undertaken prior to any employment offers being made to an applicant. These checks will include nationality checks as it is a requirement of this position that you be eligible to access equipment and data regulated by the United States' International Traffic in Arms Regulations. Under these Regulations, you may be ineligible for this role if you do not hold citizenship of Australia, Japan, New Zealand, Switzerland, the European Union or a country that is part of NATO, or if you hold ineligible dual citizenship or nationality. For more information on these Regulations, click here ITAR Regulations.

Job Description ABOUT ROCKET LAB Rocket Lab is an end-to-end space company delivering responsive launch services, complete spacecraft design and manufacturing, payloads, satellite components, and more - all with the goal of opening access space. The rockets and satellites we build, and launch enable some of the most ambitious and vital space missions globally, supporting scientific exploration, Earth observation and missions to combat climate change, national security, and exciting new technology demonstrations. Our Electron rocket has become the second most frequently launched U.S. rocket annually and has delivered more than 230 satellites to orbit, all while we work to develop Neutron, our upcoming medium-lift, reusable launch vehicle for larger constellation deployment. Our Space Systems business designs and builds our extensive line of satellites, payloads, and their components, including spacecraft that have been selected to support NASA missions to the Moon and Mars and components used on the James Webb Space Telescope. SPACE SYSTEMS At Rocket Lab, we're not just launching rockets - we're building the future of space. Our Space Systems team builds everything from complete spacecraft, precision payloads to the components and subsystems that allow them to thrive in space, like solar panels, flight software, star trackers, optical systems, separation systems, radios, and more. Our Space Systems team has enabled more than 1,700 missions, ranging from interplanetary exploration, in-space manufacturing to national security and defense initiatives. The team has built spacecraft, payloads, and components for missions to the Moon and Mars, working with partners including NASA, the Space Development Agency, and the U.S. Space Force. Whether it's a single high-performance spacecraft, constellation, or the vertically integrated components that help them get to space - our world class Space Systems team is empowering some of the boldest and most ambitious space missions. SENIOR MECHANICAL ENGINEER II/PRINCIPAL, SPACE PAYLOADS - ACTIVE TS/SCI CLEARANCE Rocket Lab's Optical Systems division solves mission-critical space domain and Intelligence, Surveillance, and Reconnaissance (ISR) challenges for Department of Defense (DoD) and Intelligence Community (IC) customers. Our vision is to revolutionize the space-based payload market with innovative and novel designs for space, terrestrial, and airborne environments. Building on more than 20 years of electro-optical and infrared systems innovation from Geost, Optical Systems delivers solutions to the warfighter for responsive, scalable sensing solutions across all orbital domains. As a Senior Mechanical Engineer II/Principal Mechanical Engineer based at our Optical Systems site in Tucson, AZ, you will have the opportunity to support multiple advanced space payload and IRAD programs. In this role you will contribute to and guide technical programs across all phases, and be an integral part of the design, development, build, and test of flight hardware. To be successful in this role, you must be comfortable driving mission critical solutions for prototype and production flight hardware, and bring adaptability, a passion for collaboration, and keen attention to detail. Join a driven team of pioneers relentlessly tackling challenging projects, delivering on the impossible, and making an impact on the future of space! (Please note: this position can be hired at the Senior Mechanical Engineer II or Principal Mechanical Engineer level) WHAT YOU'LL GET TO DO: Produce complex mechanical concepts and designs for a wide variety of hardware and projects Work with machine shops and vendors to complete fabrication of designs See designs through to successful integration and test Use investigative and trouble-shooting skills to assess issues and develop resolutions in the lab Work proactively to complete tasks with rare direction Communicate effectively with direct supervisor, project management, customers, and team members across disciplines Significantly contribute to program and customer meetings and reviews Attend technical interchange meetings with team members and other project personnel, and represent the organization in matters pertaining to the development of the project(s) Provide status on assigned tasks and program schedules Provide document review and resolve technical engineering and integration issues Support travel as required, including working off-site QUALIFICATIONS YOU'LL BRING AS SENIOR MECHANICAL ENGINEER II: Bachelor's degree in engineering or other technical discipline Active TS/SCI clearance 8+ years of mechanical design experience on space and/or optical programs Strong computer skills and experience with CAD modeling and drawing Ability to write clear and comprehensive technical documentation QUALIFICATIONS YOU'LL BRING AS PRINCIPAL MECHANICAL ENGINEER: Bachelor's degree in engineering or other technical discipline Active TS/SCI clearance 12+ years of mechanical design experience on space and/or optical programs Strong computer skills and experience with CAD modeling and drawing Ability to write clear and comprehensive technical documentation THESE QUALIFICATIONS WOULD BE NICE TO HAVE: Experience with FEA/FEM Experience with mechanism design Experience with materials engineering and processes Experience with environmental testing Experience with SolidWorks or NX Experience in implementation and understanding of Geometric Dimensioning & Tolerancing Experience as an REA (Responsible Engineering Authority) or familiarity with documentation process controls Experience with mechanical design associated with optical and electro-optical systems Hands-on expertise with optical systems, telescope systems, laser systems, and/or space systems Experience designing optical mounts for use in various demanding applications and environments Experience performing and working in a dynamic and high-visibility role Ability to manage time and resources in order to meet assigned deadlines Excellent written and verbal communication skills, and ability to problem solve Team player who incorporates a team-based success philosophy ADDITIONAL REQUIREMENTS: Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception, and the ability to focus Regularly required to sit, use hands and fingers, operate computer keyboard and controls, and communicate verbally and in writing Must be physically able to commute to buildings Occasional exposure to dust, fumes and moderate levels of noise WHAT TO EXPECT We're on a mission to unlock the potential of space to improve life on Earth, but that's not an easy task. It takes hard work, determination, relentless innovation, teamwork, grit, and an unwavering commitment to achieving what others often deem impossible. Our people out-think, out-work and out-pace. We pride ourselves on having each other's backs, checking our egos at the door, and rolling up our sleeves on all tasks big and small. We thrive under pressure, work to tight deadlines, and our focus is always on how we can deliver, rather than dwelling on the challenges that stand in the way. Important information: FOR CANDIDATES SEEKING TO WORK IN US OFFICES ONLY: To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), Rocket Lab Employees must be a U.S. citizen, lawful U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum, or be eligible to obtain the required authorizations from the U.S. Department of State and/or the U.S. Department of Commerce, as applicable. Learn more about ITAR here. Rocket Lab provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment at Rocket Lab, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Applicants requiring a reasonable accommodation for the application/interview process for a job in the United States should contact Giulia Johnson at ***********************.This dedicated resource is intended solely to assist job seekers with disabilities whose disability prevents them from being able to apply/interview. Only messages left for this purpose will be considered. A response to your request may take up to two business days. FOR CANDIDATES SEEKING TO WORK IN NEW ZEALAND OFFICES ONLY: For security reasons background checks will be undertaken prior to any employment offers being made to an applicant. These checks will include nationality checks as it is a requirement of this position that you be eligible to access equipment and data regulated by the United States' International Traffic in Arms Regulations. Under these Regulations, you may be ineligible for this role if you do not hold citizenship of Australia, Japan, New Zealand, Switzerland, the European Union or a country that is part of NATO, or if you hold ineligible dual citizenship or nationality. For more information on these Regulations, click here ITAR Regulations.

Fibertek is a leading developer of laser and electro-optic systems for the aerospace community, with key contributions to lasers for atmospheric sensing, laser communications, and lidar sensors for NASA, DoD, and commercial customers. We are looking for a highly motivated individual to join our Mechanical Engineering Department onsite in Herndon, VA. As the Senior Mechanical Engineer, you will design and develop complex laser and electro-optical systems for military and/or aerospace applications. Duties include project team technical leadership from project inception through delivery. The responsibilities require full knowledge of military/aerospace design cycles and general design requirements and development of robust design solutions to meet laser performance specifications. Duties would also include creating detailed CAD models and drawings, analyzing systems thermally and structurally, initiating procurements, supporting assembly and testing of systems, preparing technical reports, and participating in design review meetings. Essential Duties & Responsibilities * Leading technical team efforts to create mechanical system laser design solutions and architecture. * Detailing design CAD models and drawings. * Analyzing systems thermally and structurally * Initiating procurements. * Supporting assembly and testing of systems. * Preparing technical reports. * Leading design review meetings. * Creating new concepts in support of business development opportunities. Job Requirements Experience and Expertise Required * Experience in the design and analysis of electro-optical systems for military and/or aerospace applications * Experience in the design of thermal control systems, packaging of electronics, precision mechanisms, and sealed enclosures * Expertise in Creo software * Experience with ANSYS software a plus * Proficient with Microsoft Office Suite * Excellent verbal and written communication skills * Excellent organizational skills and attention to detail * Excellent time management skills with a proven ability to meet deadlines * Excellent problem-solving and communication skills * On-site only * BS in Mechanical Engineering required, MS preferred * 15 years relevant experience minimum FIBERTEK, Inc. is a recognized leader in advanced lasers, lidars and laser communication systems providing our DoD, NASA and aerospace customers discriminating capabilities. We pride ourselves in our innovation and customer success focused culture enabled by a creative and relaxed work environment. Fibertek fosters a progressive learning environment that values inspiration, promotes professional challenge and encourages personal growth. We offer a competitive and incentivized compensation package with excellent benefits. Fibertek, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment based on individual merit, skills, and experience. Fibertek does not engage in nor permits any discrimination in the workplace.

Fibertek is a leading developer of laser and electro-optic systems for the aerospace community, with key contributions to lasers for atmospheric sensing, laser communications, and lidar sensors for NASA, DoD, and commercial customers. We are looking for a highly motivated individual to join our Mechanical Engineering Department onsite in Herndon, VA. As the Senior Mechanical Engineer, you will design and develop complex laser and electro-optical systems for military and/or aerospace applications. Duties include project team technical leadership from project inception through delivery. The responsibilities require full knowledge of military/aerospace design cycles and general design requirements and development of robust design solutions to meet laser performance specifications. Duties would also include creating detailed CAD models and drawings, analyzing systems thermally and structurally, initiating procurements, supporting assembly and testing of systems, preparing technical reports, and participating in design review meetings. Essential Duties & Responsibilities Leading technical team efforts to create mechanical system laser design solutions and architecture. Detailing design CAD models and drawings. Analyzing systems thermally and structurally Initiating procurements. Supporting assembly and testing of systems. Preparing technical reports. Leading design review meetings. Creating new concepts in support of business development opportunities. Requirements Experience and Expertise Required Experience in the design and analysis of electro-optical systems for military and/or aerospace applications Experience in the design of thermal control systems, packaging of electronics, precision mechanisms, and sealed enclosures Expertise in Creo software Experience with ANSYS software a plus Proficient with Microsoft Office Suite Excellent verbal and written communication skills Excellent organizational skills and attention to detail Excellent time management skills with a proven ability to meet deadlines Excellent problem-solving and communication skills On-site only BS in Mechanical Engineering required, MS preferred 15 years relevant experience minimum

Job Code:25-207 Location:Arlington, VA - Hybrid FT/PT Status:Full Time Required Clearance:Ability To Obtain a Secret Clearance We are seeking an exceptional Robotics Engineer (Technical SETA - DARPA BTO Support) to serve as Science, Engineering, Technology, and Analysis (SETA) support to the DARPA Biological Technologies Office (BTO). In this role, you will contribute to the advancement of cutting-edge biotechnology through the development of autonomous systems for tactical combat casualty care (TCCC), including stand-off casualty assessment, evacuation, and surgical interventions in austere environments. The successful candidate will possess a strong background in sensor technology, robotic training methodologies, and rigorous testing protocols. Experience with medical devices is highly desirable. You will collaborate closely with Program Managers (PMs) and a multi-disciplinary SETA team to iteratively develop innovative program concepts, incorporating feedback from peers and leadership. Your expertise will complement that of subject matter experts in medicine and machine learning, collectively driving the creation of advanced autonomous technologies to support field operators, such as combat medics and surgeons, with the ultimate goal of improving warfighter survivability. Our team comprises DARPA veterans and individuals bringing fresh perspectives from outside the agency. Regardless of background, a crucial element of success in this role is the ability to rapidly understand and adhere to agency expectations for effective program execution. Collaboration is paramount, and you will work closely with technical subject experts across diverse fields to achieve program goals aimed at revolutionizing TCCC. Responsibilities * Provide expert technical support to Program Managers (PMs) during ideation, offering insights and guidance to develop and refine program concepts. This involves continuous collaboration with PMs and cross-functional teams to create compelling program pitches that effectively communicate ideas and incorporate feedback. * Conduct proactive and rigorous analytical assessments of state-of-the-art technologies to support PMs in evaluating potential solution development pathways. * Engage with and gather information from key opinion leaders in academia, industry, and government. Analyze ongoing developments through scientific journals, public competitions, and research awards to ensure the team's understanding remains current and relevant. * Provide expert scientific and technological guidance to PMs and internal stakeholders, empowering them to make informed decisions related to program strategy and execution. * Communicate complex technical concepts clearly and effectively across a variety of media (face-to-face meetings, virtual collaboration platforms, email, and telephone) to facilitate knowledge transfer and understanding. * Foster a collaborative environment by working effectively within interdisciplinary teams, bridging the gap between subject matter experts and operational users. Qualifications Required: * An advanced degree (Master's or Ph.D. preferred) in an engineering discipline, such as Robotics, Mechanical Engineering, or Electrical Engineering. * Demonstrated experience in the development of autonomous systems (UAV, UGV, and UUV) across a range of payload capacities and dexterity levels. * Proficiency in the design, training, prototyping, and rigorous testing of autonomous robotics systems operating in air, land, and sea environments. * Expertise in perception sensor systems, large-scale signal acquisition, and advanced analysis techniques using cutting-edge machine learning tools. * Advanced proficiency in Python and C++ programming languages. * Practical experience with robotics frameworks, such as ROS. * A strong understanding of mechanical and electrical engineering principles, with a particular emphasis on control systems and sensor integration. * Excellent organizational and time-management skills. * The ability to effectively communicate complex ideas and design insights to a broad audience. * Must possess, or be able to obtain, a minimum SECRET security clearance; up to TS/SCI eligibility as required by the position. Preferred: * Experience in the design and development of systems for medical applications. * Knowledge of the FDA medical device approval process. * Experience participating in or managing robotics competitions. Strategic Analysis, Inc. is an Equal Opportunity employer and is committed to non-discrimination in employment. All qualified applicants will receive consideration for employment without regard to race, color, religions, sex (including pregnancy, sexual orientation, or gender identity), national origin, disability (physical or mental), age (40 or older), protected veteran status, genetic information (including family medical history) or any other characteristic protected by law. This policy includes but is not limited to the following employment actions: recruitment, hiring, firing, promotion, demotion, compensation, fringe benefits, training, mentoring and sponsorship programs.