systems engineer

Stanford University

The Department of Ophthalmology in the School of Medicine at Stanford University is launching an interdisciplinary Neuro-AI project dedicated to building a foundation model of the brain. This endeavor will involve multiple labs and faculty across the Stanford campus, including the Wu Tsai Neurosciences Institute, Stanford Bio-X, and the Human-Centered Artificial Intelligence Institute. Leveraging cutting-edge advances in electrophysiology and machine learning, this project aims to create a functional "digital twin" - a model that captures both the activity dynamics of the brain at cellular resolution and the intelligent behavior it generates, including perception, motor planning, learning, reasoning, and problem-solving. This ambitious initiative promises to offer unprecedented insights into the brain's algorithms of perception and cognition while serving as a key resource for aligning artificial intelligence models with human-like neural representations. As part of this project, we are seeking talented systems engineers with extensive experience in large scale data and compute clusters. As a Systems Engineer, you will be responsible for designing, deploying, and maintaining the compute infrastructure that supports our machine learning and data pipeline operations. This position promises a vibrant and cooperative atmosphere within the laboratories of Andreas Tolias ( ), Tirin Moore ( ) and other labs at Stanford University renowned for their expertise in perception, cognition, pioneering neural recording techniques, computational neuroscience, machine learning, and Neuro-AI research. Duties include: <ul><li> Design and develop complex and specialized equipment, instruments, or systems; coordinate detailed phases of work related to responsibility for part of a major project or for an entire project of moderate scope. </li><li> Develop technical and methodological solutions to complex engineering/scientific problems requiring independent analytical thinking and advanced knowledge. </li><li> Develop creative new or improved equipment, materials, technologies, processes, methods, or software important to the advancement of the field. </li><li> Contribute technical expertise, and perform basic research and development in support of programs/projects; act as advisor/consultant in area of specialty. </li><li> Contribute to portions of published articles or presentations; prepare and write reports; draft and prepare scientific papers. </li><li> Provide technical direction to other research staff, engineering associates, technicians, and/or students, as needed. </li><li> - Other duties may also be assigned </li></ul> What we offer: <ul><li> Work on a collaborative and uniquely positioned project spanning several disciplines, from neuroscience to artificial intelligence and engineering. </li><li> Work jointly with a vibrant team of researchers and scientists in a project dedicated to one mission, rooted in academia but inspired by science in industry. </li><li> Competitive salary and benefits. </li><li> Strong mentoring in career development. </li></ul> Application: In addition to completing the application, please send your CV and one page interest statement to: DESIRED QUALIFICATIONS: <ul><li> 3+ years of experience in designing, managing and running large-scale compute infrastructure in the context of machine learning </li><li> Experience with containerization technologies like Docker and orchestration platforms like Kubernetes or SLURM </li><li> Proficiency in scripting languages such as Python, Bash, or PowerShell </li><li> Strong knowledge of Linux/Unix systems administration </li><li> Ability to work effectively in a collaborative, multidisciplinary environment </li><li> Familiarity with modern distributed big data tools and pipelines such as Apache Spark, Arrow, Airflow, Delta Lake, or similar </li><li> Familiarity with machine learning frameworks like PyTorch or JAX </li><li> In-depth experience with cloud computing resources </li><li> Thorough knowledge of GPU-based HPCs in the context of machine learning. </li></ul> EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree and three years of relevant experience, or combination of education and relevant experience. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): <ul><li> Thorough knowledge of the principles of engineering and related natural sciences. </li><li> Demonstrated project management experience. </li></ul> CERTIFICATIONS & LICENSES: None PHYSICAL REQUIREMENTS : <ul><li> Frequently grasp lightly/fine manipulation, perform desk-based computer tasks, lift/carry/push/pull objects that weigh up to 10 pounds. </li><li> Occasionally stand/walk, sit, twist/bend/stoop/squat, grasp forcefully. </li><li> Rarely kneel/crawl, climb (ladders, scaffolds, or other), reach/work above shoulders, use a telephone, writing by hand, sort/file paperwork or parts, operate foot and/or hand controls, lift/carry/push/pull objects that weigh >40 pounds. </li></ul> - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. WORKING CONDITIONS: <ul><li> May be exposed to high voltage electricity, radiation or electromagnetic fields, lasers, noise > 80dB TWA, Allergens/Biohazards/Chemicals /Asbestos, confined spaces, working at heights ?10 feet, temperature extremes, heavy metals, unusual work hours or routine overtime and/or inclement weather. </li><li> May require travel. </li></ul> The expected pay range for this position is $126,810 to $151,461 annually. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. <img src="https://www.jobg8.com/Tracking.aspx?snYreeyfh7laxm24a959atA2EXWL5Ej6h" width="0" height="0" />

Machine Learning Systems Engineer (1 Year Fixed Term)

Omega Solutions, Inc

Objective:Suppport Sr System Administrator staff and support staff in technology areas of MicrosoftWindows Server, Active Directory, PKI, Microsoft Networking Infrastructure, and VMware Virtualinfrastructure. Virtual Server infrastructure running on VXRail, Lenovo, and Azure based VM39;s.This engagement will be a technical lead for a project to migrate data from HCA and save ontoSanta Clara County compute and storage resources.Required Skills & Abilities: Engineering System Administration for Active Directory, VMware Hardware solution Knowledge on Storage Area Network (SAN), Dell PowerScale, DellVXRail Ability to lead team and engage with other Senior Infrastructure Engineers and SystemAdministratorsCertifications & Educational Requirements: Microsoft Certified System Administrator<img src="https://www.jobg8.com/Tracking.aspx?qn2dWMJXE5PNUEx%2bXSVugw4TttS9wNzuq" width="0" height="0" />

Senior Systems Administrator/ Systems Engineer eRFO-ISD-FY25-023

Northrop Grumman

RELOCATION ASSISTANCE: Relocation assistance may be availableCLEARANCE TYPE: SecretTRAVEL: Yes, 25% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.At the heart of Defining Possible is our commitment to missions. In rapidly changing global security environments, Northrop Grumman brings informed insights and software-secure technology to enable strategic planning. We're looking for innovators who can help us keep building on our wide portfolio of secure, affordable, integrated, and multi-domain systems and technologies that fuel those missions. By joining in our shared mission, we'll support yours of expanding your personal network and developing skills, whether you are new to the field, or an industry thought leader. At Northrop Grumman, you'll have the resources, support, and team to do some of the best work of your career.We are looking for you to join our team as a Sr. Principal Quality Engineer based in Sunnyvale, CA.What you will get to do:<ul><li>Apply Lean and Six Sigma tools</li><li>Facilitate RCCA (Root Cause Corrective Actions) and track corrective actions plans and cases to closure</li><li>Facilitate improvement teams to solve complex technical problems utilizing DMAIC or related problem solving methodologies</li><li>Ensure compliance to contract quality requirements and AS9100 / ISO9001 Quality System processes on development and production programs</li><li>Establish and measure KPI's</li><li>Perform Surveillance and Risk Assessments</li><li>Train, mentor, and develop junior-level personnel, and participate in the design and implementation of training materials</li><li>Provide expertise and guidance to program teams and suppliers on quality assurance, quality systems, tools, training, problem solving, statistical analysis and continuous improvement</li><li>Perform statistical analysis on product yield/SPC/key characteristics data</li><li>Report status on tasks to program management, quality management and customers</li></ul>Basic Qualifications for the Sr. Principal Quality Engineer:<ul><li>Bachelor's degree in a related STEM discipline.</li><li>A minimum of 8 years of experience within one or more of the following areas: Mission Assurance, Industrial Engineering, Mechanical Engineering, Manufacturing, Systems Engineering, or equivalent expertise.</li><li>Possess Six-Sigma Green-Belt Certification</li><li>Must be able to obtain and maintain a Secret Clearance.</li><li>US Citizenship required.</li></ul>Preferred Qualifications for the Sr. Principal Quality Engineer:<ul><li>BS or MS in Mechanical, Manufacturing, Industrial or Systems Engineering</li><li>Six Sigma Black-Belt Certification</li><li>Experience with Statistical Software</li><li>ISO9000/AS9100 Audit Certification</li><li>Possess a current Secret Clearance</li></ul>Primary Level Salary Range: $124,900.00 - $187,300.00The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.<img src="https://www.jobg8.com/Tracking.aspx?KD66OVFTKeMUwhibyYhvgqFOxjN2kXETw" width="0" height="0" />

Sr Principal Engineer Quality

Bosch Group

Company Description "Invented for Life" drives us at Bosch and our vision of future mobility. Autonomous vehicles will change the way we move and at Bosch we are working on making this future a reality. We are now growing our team to solve some of the hardest automated driving problems, and are looking for experts for product engineering of AI-based Autonomous Driving systems. Job Description As the Senior Principal Engineer, E2E AI Training Framework for Autonomous Driving Systems, you will spearhead the development and optimization of the machinery that efficiently trains, optimizes, tests, and releases various E2E AI-based products (e.g. parking, driving, interior sensing) for different trim levels (entry, mid and high) within our L2+ ADAS stack. You will be responsible for defining and driving the technological roadmap for the AI machinery, ensuring its scalability, reliability, and performance. The ideal candidate must have prior industry experience in releasing AI-based L2+ systems, with a proven track record of translating innovative research into production-grade solutions. Key Responsibilities <ul><li>Define and drive execution of the technical roadmap and strategy for the E2E AI machinery, including training pipelines, optimization techniques, simulation and MLOps tooling.</li><li>Oversee the design, development, and testing of the E2E AI machinery and its interaction with data sources, model repositories, and development targets.</li><li>Collaborate closely with other functional tech leads (e.g. data engineering, infrastructure) to define and drive the overall architecture of the AI machinery ecosystem.</li><li>Guide the set-up of a development framework that enables fast evaluation and integration of emerging E2E AI solutions.</li><li>Guide the transition from research prototypes to production-ready solutions, ensuring performance optimization on automotive-grade hardware and scalability.</li><li>Leverage your prior industry experience in launching AI-based L2+ systems to implement best practices in system validation, testing (SIL/HIL), and continuous improvement.</li><li>Mentor and lead a high-caliber team of AI scientists and engineers, fostering a culture of innovation, collaboration, and technical excellence.</li></ul> Qualifications Basic Qualifications: <ul><li>Master's degree or Ph.D in Computer Science, Robotics, Electrical Engineering, AI, or a closely related field with a focus on autonomous systems</li><li>10+ years of experience in software development and system engineering for autonomous driving or ADAS applications</li><li>Proven industry experience in releasing AI-based L2+ systems, with a strong track record of successful product deployments</li><li>Deep knowledge of E2E AI stack solutions and training algorithms, including reinforcement learning, and imitation learning, as well as motion control and optimization techniques</li><li>Deep knowledge of AI frameworks such as TensorFlow and PyTorch</li><li>Deep knowledge in model optimization and embedded deployment of E2E AI stacks to embedded automotive hardware</li><li>Deep knowledge of cloud-based scalable training pipelines, MLOps, and CICD for training AI models with large-scale fleet datasets</li><li>Proven track record of leading the end-to-end development and successful deployment of complex AI-powered systems into production environments at scale</li></ul> Preferred Qualifications: <ul><li>Experience with simulation tools and testing methodologies (SIL/HIL) for autonomous systems.</li><li>Proficiency in programming languages such as Python and C++.</li><li>Strong understanding of automotive safety standards (ISO 26262, ASIL) and regulatory requirements for ADAS.</li><li>Exceptional leadership and communication skills, with the ability to inspire and manage cross-functional teams.</li><li>Strategic thinker with strong problem-solving abilities and a passion for innovation in autonomous driving technology.</li></ul> Additional Information The U.S. base salary range for this full-time position is $240,000 - $320,000. Within the range, individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. This range does not include annual bonus percentage nor any other monetary considerations for the total compensation package. Your Recruiter can share more details about the specific salary range for this position during the interview process. In addition to your base salary, Bosch offers a comprehensive benefits package that includes health, dental, and vision plans; health savings accounts (HSA); flexible spending accounts; 401(K) retirement plan with an attractive employer match; wellness programs; life insurance; long term disability insurance; paid time off; parental leave. Pay ranges included in the postings, when included, generally reflect base salary; certain positions may include bonus, or additional benefits. Equal Opportunity Employer, including disability / veterans Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date. <img src="https://www.jobg8.com/Tracking.aspx?00kgJ%2bE2%2bypDSv3RODr845gL0ZYlFuuId" width="0" height="0" />

Senior Principal Engineer- End-to-End AI Training Framework

RELOCATION ASSISTANCE: Relocation assistance may be availableCLEARANCE TYPE: SecretTRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems in air and space that impact people's lives around the world today, and for generations to come. Our work preserves freedom and democracy and advances human discovery and our understanding of the universe. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future; and have a lot of fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, but they are also making history.The Network Operations, Sustainment, Support and Modernization (N-OSSM) Operating Unit is looking for a Reliability Engineer to join our team based out of San Diego, CA. As a Reliability Engineer at Northrop Grumman, you will have a challenging and rewarding opportunity to be a part of our Enterprise-wide digital transformation. Through the use of Model-based Engineering, Dev Sec Ops and Agile practices we continue to evolve how we deliver critical national defense products and capabilities for the warfighter. Our success is grounded in our ability to embrace change, move quickly and continuously drive innovation. The successful candidate will be collaborative, open, transparent, and team-oriented with a focus on team empowerment & shared responsibility, flexibility, continuous learning, and a culture of automation.What you will get to do:The responsibilities include management interfaces with manufacturing, logistics support, design engineering, quality assurance, and test teams; coordination with other reliability programs; and key participants in the systems engineering organization. The Senior Principal Reliability Engineer will interface between the reliability organization and other functional elements of the programs, as well as with other reliability related disciplines and will define the resources needed, to perform reliability requirements.Key duties and responsibilities:• As a Reliability Engineer, you will provide reliability subject matter expert advice on assigned programs.• Participate in reliability engineering reviews.• Liaison with other reliability engineers and programs to ensure best practice and share knowledge.• Provide advice to Systems Engineers regarding their responsibilities in accordance with the Reliability Program.• Conduct independent reliability analysis as deemed necessary.• Ability to work across multiple disciplines.Basic Qualifications:• 8 Years with Bachelors in Science; 6 Years with Masters; 4 Years with PhD• Experience with Root Cause Analysis, FRACAS, FMEA/FMECA or related Reliability Engineering work• Must currently hold and be able to maintain an active DoD Secret clearance.• Must have the ability to obtain SAP security clearance. Preferred Qualifications:<ul><li>Practical hands-on experience performing: Reliability, Availability, Maintainability, FRACAS, ESS, Reliability Testing, Root Cause Analysis, FMEA/FMECA, Fault Tree Analysis, sparing analysis, and related engineering work.</li><li>Experience with Life Cycle Cost Analysis and Modeling</li><li>Experience in completing detailed risk analysis.</li><li>Experience in completing Basis of Estimates (BOE).</li><li>Current Active SAP security clearance.</li></ul>Primary Level Salary Range: $124,900.00 - $187,300.00The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.<img src="https://www.jobg8.com/Tracking.aspx?wVOXOKyF8SOQI2ezEpCJIPcAb2pMGKhQt" width="0" height="0" />

Sr Principal Engineer Reliability

RELOCATION ASSISTANCE: Relocation assistance may be availableCLEARANCE TYPE: SecretTRAVEL: Yes, 25% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.At the heart of Defining Possible is our commitment to missions. In rapidly changing global security environments, Northrop Grumman brings informed insights and software-secure technology to enable strategic planning. We're looking for innovators who can help us keep building on our wide portfolio of secure, affordable, integrated, and multi-domain systems and technologies that fuel those missions. By joining in our shared mission, we'll support yours of expanding your personal network and developing skills, whether you are new to the field, or an industry thought leader. At Northrop Grumman, you'll have the resources, support, and team to do some of the best work of your career.We are looking for you to join us as a Mission Assurance Engineer based in Sunnyvale, CA in the heart of Silicon Valley! This position is fully on-site (no remote or hybrid schedules).As a Mission Assurance professional for Quality and Mission Assurance, you are first and foremost committed to treating all people with respect. You model personal growth and are a feverish champion for continuous development both personally and for your team. You are someone that always chooses to act with integrity and you believe that high ethical and moral standards characterize who you are by the things you choose to do. You are someone that chooses to enable your team to achieve predictable and balanced results all while also satisfying the needs of both your internal and external customers. You have a track record that proves you know how to support a diverse, equitable and inclusive environment that will attract, retain, and encourage diverse and engaged talent. You choose to build trusted and valued partner relationships and you're effective at verbal and written communications. You choose to deliver perfection, strive for continuous improvement, and respond vigorously to change. You lastly, but certainly not least consistently work to ensure your team and the teams you support are armed with the information and tools needed for optimal performance. If this description describes you and you wish to join a fast-paced team that builds and executes strategies that result in sustainable value creation then we need you on our team!What You'll Get to Do:<ul><li>Interpret customer technical and MA requirements, as well as internal quality requirements, and ensure these requirements are integrated into program plans, quality plans, specifications, and product drawings.</li><li>Ensure program contract requirements are flowed down internally and to suppliers.</li><li>Ensure compliance with contract program, quality, organizational, and industry alert requirements.</li><li>Represent Mission Assurance at various program reviews and review boards including but not limited to Configuration Control Boards (CCB), Material Review Board (MRB), Program Management Reviews (PMR), Design/Peer Reviews, Manufacturing/Test Readiness Reviews and Corrective Action Boards (CAB).</li><li>Collaborate with engineering and manufacturing functions to ensure quality standards are in place</li><li>Drive solutions to technical and process problems with cross-functional teams</li><li>Responsible for developing Basis of Estimates to ensure sufficient Quality oversight on key Development and Sustainment captures and programs.</li><li>Drive concepts like Design Quality, Cost of Quality, FMEA and similar measures designed to help drive improvement.</li><li>Perform Root Cause and Corrective Action (RCCA) analysis, and Problem-Solving activities on program-specific, quality system and business system deficiencies.</li><li>Perform statistical analysis to assess the cost of and determine the responsibility for, products or materials that do not meet required standards and specifications</li><li>Assess program performance and risks; develop handling plans for Quality risks and opportunities. </li><li>Support the development, implementation and maintenance of quality policy and procedures within the Quality Management System (QMS) including supporting external audits and performing internal audits to assess conformance.</li><li>Review practices, procedures and processes seeking avenues to improve efficiency and effectiveness and reduce risk to product quality and personnel.</li><li>Provide oversight in discrepancy review and failure investigations, as well as cause and corrective action determinations. Analyze and interpret trends and execute improvements on key metrics.</li></ul>This position may be filled at the Principal or Sr. Principal level, depending on candidate experience.Basic Qualifications for the Principal Mission Assurance Engineer:<ul><li>A Bachelor's degree in a related STEM field with a minimum of 5 years of experience in Quality, Quality Engineering, Program Management, Engineering Management or Manufacturing; (OR 3 or more years of experience with a Master's degree).</li><li>Experience with quality engineering principles, manufacturing operations, product inspection, test & evaluation, reliability, root cause analysis, defect analysis, inspection methods, control of nonconforming material, product sell off, shipping and product support as they apply to quality.</li><li>Experience with ISO 9001 / AS9100 Quality Management System certification process.</li><li>The ability to obtain a DoD Secret clearance</li><li>U.S. citizenship required</li></ul>Basic Qualifications for the Sr. Principal Mission Assurance Engineer:<ul><li>A Bachelor's degree in a related STEM field with a minimum of 8 years of experience in Quality, Quality Engineering, Program Management, Engineering Management or Manufacturing; (OR 6 or more years of experience with a Master's degree).</li><li>Experience with quality engineering principles, manufacturing operations, product inspection, test & evaluation, reliability, root cause analysis, defect analysis, inspection methods, control of nonconforming material, product sell off, shipping and product support as they apply to quality.</li><li>Experience with ISO 9001 / AS9100 Quality Management System certification process.</li><li>The ability to obtain a DoD Secret clearance</li><li>U.S. citizenship required</li></ul>Preferred Qualifications for Both Levels:<ul><li>A BS Degree in an engineering discipline with Master's degree in an engineering or management field.</li><li>Defense Industry experience as a Program or Project Manager, Quality Manager, Engineering Manager or Manufacturing Management</li><li>Lean / Six Sigma Green or Black Belt certification to help drive continuous improvement.</li><li>CAM/Earned Value certification.</li><li>Current, active Secret Clearance, or higher or ability to acquire a Department of Defense Secret clearance.</li></ul>Primary Level Salary Range: $110,300.00 - $165,500.00Secondary Level Salary Range: $137,400.00 - $206,000.00The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.<img src="https://www.jobg8.com/Tracking.aspx?K8u%2f7NQsWgqKcFsE3oLreWS8zA9HQ%2f7os" width="0" height="0" />

Principal Engineer Mission Assurance

The Department of Ophthalmology's Enigma project is reimagining the experimental neuroscience pipeline with big data and AI at its core. A central goal of the project is to build a foundation model of the visual brain-a "digital twin" that captures neural activity and intelligent behavior at unprecedented scale and resolution. This ambitious project spans multiple institutes including the Wu Tsai Neurosciences Institute, Stanford Bio-X, and the Human-Centered Artificial Intelligence Institute, bringing together experts in systems neuroscience, AI, and engineering. This ambitious initiative promises to offer unprecedented insights into the brain's algorithms of perception and cognition while serving as a key resource for aligning artificial intelligence models with human-like neural representations. We are seeking a Science and Engineering Associate with strong mechanical and mechatronic design skills to develop next generation neurophysiology and intracortical brain-interfacing technology. The ideal candidate will play a critical role in prototyping lightweight, highly scalable, precisely controlled mechanical systems, e.g., precise linear actuation of Neuropixels probes, enabling the team to record neural activity and understand the brain at unprecedented scale. This role is ideal for individuals who thrive at the rapidly evolving interface of neuroscience, engineering, and software development, and want to contribute to a uniquely interdisciplinary effort. This position is embedded within a vibrant team of neuroscientists, engineers, and software developers led by Andreas Tolias ( toliaslab.org ), Tirin Moore ( ), and collaborators. Role & Responsibilities: <ul><li> Develop scalable and modular systems for neural recordings and animal behavior experiments </li><li> Design, prototype, and fabricate electro-mechanical components used in experimental neuroscience, including 3D-printed and machined parts </li><li> Design or integrate new approaches to miniaturized linear actuation and control, e.g., via piezoelectric motors, and online monitoring systems, e.g. via embedded cell-phone cameras and real-time, closed-loop computer vision software. </li><li> Maintain design libraries and documentation for versioning, reproducibility, and team collaboration </li><li> Collaborate closely with systems engineers and researchers to find creative solutions to evolving experimental needs </li><li> - Other duties may also be assigned </li></ul> DESIRED QUALIFICATIONS: <ul><li> Bachelor's or Master's degree in Mechanical Engineering, Biomedical Engineering, or a related field </li><li> Strong experience with CAD tools (e.g., Fusion, OnShape, SolidWorks) for mechanical design and prototyping. </li><li> Familiarity with software programming for system integration and control. </li><li> Experience with rapid prototyping using 3D printers and fabrication methods. </li><li> Practical understanding of fabrication tolerances, material selection, and mechanical fabrication processes. </li><li> Experience applying engineering principles to develop scalable and modular systems for experimental applications. </li><li> Ability to design, prototype, and fabricate electro-mechanical components. </li><li> Ability to write clear documentation, maintain design libraries for versioning and reproducibility, and perform </li><li>A dministrative duties related to research projects. </li></ul> EDUCATION & EXPERIENCE (REQUIRED): Associate Degree or certificate of completion in a related engineering or related scientific discipline and three years of relevant experience; or a combination of education and relevant experience. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): <ul><li> Experience applying scientific and engineering principles and practices to perform technical services and support. </li><li> Experience with data analysis, experimental process, design, and development of prototypes, equipment, and/or systems related to area of specialization. </li><li> Ability to write clear documentation, perform administrative duties, and research protocol maintenance related to research studies and/or scientific/engineering projects. </li><li> Experience with software applications, systems, or programs relevant for the job. </li><li> Ability to interpret and determine validity of data and check own work. </li><li> Ability to communicate, liaise, and work with staff, students, faculty, and outside vendors. </li><li> Ability to effectively supervise and train a diverse work staff. </li></ul> PHYSICAL REQUIREMENTS : <ul><li> Frequently grasp lightly/fine manipulation, perform desk-based computer tasks, lift/carry/push/pull objects that weigh up to 10 pounds. </li><li> Occasionally stand/walk, sit, twist/bend/stoop/squat, grasp forcefully. </li><li> Rarely kneel/crawl, climb (ladders, scaffolds, or other), reach/work above shoulders, use a telephone, writing by hand, sort/file paperwork or parts, operate foot and/or hand controls, lift/carry/push/pull objects that weigh >40 pounds. </li><li> - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. </li></ul> WORKING CONDITIONS: <ul><li> May be exposed to high voltage electricity, radiation or electromagnetic fields, lasers, noise > 80dB TWA, Allergens/Biohazards/Chemicals /Asbestos, confined spaces, working at heights ?10 feet, temperature extremes, heavy metals, unusual work hours or routine overtime and/or inclement weather. </li><li> May require travel. The expected pay range for this position is $95,970 to $116,993 annually. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. </li></ul><img src="https://www.jobg8.com/Tracking.aspx?4JvFlRdvJgOXd74q5qbfAT1keNr9l%2feCp" width="0" height="0" />

Engineer Associate (2 Year Fixed-Term)

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