Infrastructure Engineer jobs at MITRE - 8241 jobs

A leading technology company is looking for a Machine Learning Infrastructure Engineer in Sunnyvale, California. You will develop data ecosystems and infrastructure for ML projects, partnering closely with engineers and scientists. Candidates should have a Bachelor's in Computer Science and experience with cloud providers, as well as strong programming skills in Python. This is an opportunity to be a part of innovative projects that influence the next generation of technology. #J-18808-Ljbffr

Country: United States of America Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance: DoD Clearance: Secret At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. An exciting opportunity exists at Raytheon for a Layout Support Engineer II to join our semiconductor foundry services team within the RF Microelectronics/Module Design & Foundry Services Department. As a Layout Engineer you will be responsible for creating layouts to the specifications of the engineering team, and to perform design checks and physical verification on RF Integrated Circuits (RFIC) and Monolithic Microwave Integrated Circuits (MMIC) using the Cadence Virtuoso Tool Suite. You will also be responsible for preparing designs for photomask order and delivery into Raytheon's III-V Semiconductor Fab, while constantly communicating with the design and production teams. This role requires onsite presence, based in Andover, MA What You Will Do: Provide layout support to MMIC/RFIC Design Team Verification using Design Rule Checking (DRC) and Layout Versus Schematic (LVS) Reticle building and photomask ordering Data Check, Documentation, and Peer Reviewing Qualifications You Must Have: Typically requires a Bachelor's Degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 2 years experience with integrated circuit layout and physical verification. The ability to obtain and maintain a US security clearance. U.S. citizenship is required as only U.S. citizens are eligible for a security clearance Qualifications We Prefer: Experience with integrated circuit layout and physical verification using Cadence Virtuoso software tools Familiarity with semiconductor processing and concepts, e.g. technologies like GaAs, GaN, SOI Programming skills such as scripting, Skill, Python, etc. Knowledge of the Linux Operating System. Proven ability to work within a team environment. Strong oral and written communication skills. Detail oriented, ability to follow documented instructions and procedures. Experience with CAD software tools. Experience with Microsoft Office Tool Suite. What We Offer: Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Trust, Respect, Accountability, Collaboration, and Innovation. As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 66,000 USD - 130,000 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms

Country: United States of America Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance: DoD Clearance: Secret At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. An exciting opportunity exists at Raytheon for a Layout Support Engineer II to join our semiconductor foundry services team within the RF Microelectronics/Module Design & Foundry Services Department. As a Layout Engineer you will be responsible for creating layouts to the specifications of the engineering team, and to perform design checks and physical verification on RF Integrated Circuits (RFIC) and Monolithic Microwave Integrated Circuits (MMIC) using the Cadence Virtuoso Tool Suite. You will also be responsible for preparing designs for photomask order and delivery into Raytheon's III-V Semiconductor Fab, while constantly communicating with the design and production teams. This role requires onsite presence, based in Andover, MA What You Will Do: Provide layout support to MMIC/RFIC Design Team Verification using Design Rule Checking (DRC) and Layout Versus Schematic (LVS) Reticle building and photomask ordering Data Check, Documentation, and Peer Reviewing Qualifications You Must Have: Typically requires a Bachelor's Degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 2 years experience with integrated circuit layout and physical verification. The ability to obtain and maintain a US security clearance. U.S. citizenship is required as only U.S. citizens are eligible for a security clearance Qualifications We Prefer: Experience with integrated circuit layout and physical verification using Cadence Virtuoso software tools Familiarity with semiconductor processing and concepts, e.g. technologies like GaAs, GaN, SOI Programming skills such as scripting, Skill, Python, etc. Knowledge of the Linux Operating System. Proven ability to work within a team environment. Strong oral and written communication skills. Detail oriented, ability to follow documented instructions and procedures. Experience with CAD software tools. Experience with Microsoft Office Tool Suite. What We Offer: Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Trust, Respect, Accountability, Collaboration, and Innovation. As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 66,000 USD - 130,000 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms

Apply info_outline X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Sunnyvale, CA, USA. Bachelor's degree or equivalent practical experience. 2 years of experience with coding in C++, Python and g3Python. Preferred qualifications Master's degree or PhD in Computer Science, or a related technical field. 2 years of experience in software architecture. 2 years of experience in customer engagement. 2 years of experience in project execution. About the job Hydra is the next generation storage system for ML post-training data. The system is currently used mainly by Gemini and growing rapidly. It powers major Gemini tools such as Gemini Data Studio, Gemini Atlas Leaderboard, and critical OneRecipe/Gemini researcher workflows. Gemini and Google AI research are evolving very fast, which translates to exponentially increasing data sizes and rapidly evolving user requirements. We are working on improving the performance and reliability of the existing Critical User Journeys (CUJs) to speed up Gemini AI research, supporting new features to meet new AI research requirements, refining Hydra APIs and data models to allow rapidly increasing data sizes, designing the system in extensible ways for faster introduction of new features and reduction in development churn, etc. The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google . Responsibilities Improve Hydra's read/query/write patterns throughout its storage layer and serving stack. This includes analyzing Spanner hotspotting/lock contention/resource usage/issues, improving Hydra's Spanner/Lightning schema design, improving Hydra's Spanner/F1 queries, supporting new features in F1 Query (e.g., full-text search predicate pushdown) for Hydra's use cases, etc. Implement data isolation models to allow Hydra to be used by all Google Product Areas for their post training needs. Collaborate with various DeepMind/CoreML/CloudML/Search teams and AI researchers to gather requirements for feature development and performance optimization. Implement new features to meet rapidly evolving Google AI research needs. For instance, Hydra is currently working on better supporting ML model eval, LLM distillation, semantic search, etc. Improve extensibility of the system by leveraging technologies such as Spanner remote Universal Dashboard Framework (UDF). Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. #J-18808-Ljbffr

San Francisco Bay Area, California, United States Software and Services The iPhone revolutionized how people live, communicate, and connect. The iPad changed how people define a computer. Come help build the iconic user experiences and delightful interfaces that millions of customers use and love every day. The Notifications and Focus team is looking for a creative, customer-focused engineer to help push the iOS and iPadOS user experience forward. Come work with an energetic, hardworking team of engineers, multi-functional teams, and world‑class designers to deliver the best mobile experience on the planet! Description Are you passionate about building software that is used by millions of people every day? Have you ever wondered what backs the notification system employed by iOS, watch OS, vision OS, and mac OS? How services like Focus interact with the rest of the system to allow for personalization and intentional use? How all of the beautiful, fluid animations in iOS are achieved? How to make services and technologies that fundamentally make iOS, well… iOS? As an engineer on the Notifications and Focus team, your responsibilities will range from defining, designing, and implementing new features and interfaces, to fixing bugs, iterating on features, and focusing on performance. You should have a strong understanding of object‑oriented software design, good debugging skills, and an eagerness to tackle tough problems and learn from amazing teammates. Minimum Qualifications Bachelor of Computer Science or equivalent work experience Strong sense of ownership and accountability Comfortable operating in ambiguity and defining the right solution, not just implementing one Knowledge of Apple's development APIs and experience developing apps with UIKit or SwiftUI Exceptional problem solving, critical thinking, and communication skills Preferred Qualifications Familiar with the challenges of working in large codebases Versed in modern software development methodologies Excellent object‑oriented programming and design skills Excellent understanding of optimization and performance issues across OS software layers At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . Apple accepts applications to this posting on an ongoing basis. #J-18808-Ljbffr

Astronics Test Systems is looking for a Field Service Engineer to join our Customer Support team. The role will be primarily remote, based out of the New York City area, with significant time spent at customer locations. The team is responsible for supporting the hardware and software necessary to perform functional and diagnostic testing on various electrical assemblies (Unit Under Test, or UUT). You will diagnose and repair a large range of electronic and electro-mechanical equipment, striving to provide First-Time Fixes. Solutions include both hardware and software elements. You will also work closely with Orlando office to set priorities and schedules. In this role, you will be the liaison to NYCT MTA and KRC, facilitating communication, attending design reviews, and closing out project items. Additionally, you will be responsible for providing training to customers on-site. ? Principal Duties and Responsibilities: Understand all aspects of the existing System Self-Test hardware and software package for test systems sold by Astronics. Assemble, calibrate, and install equipment such as ATE/BTE, PXI, and LXI instruments, DMMs, oscilloscopes, power supplies, and custom test equipment as necessary. Tune and troubleshoot equipment for proper operation. Implement test requirements defining input signals to the UUT and determine the corresponding outputs. Generate software using languages including LabView, C, Python, and environments like TestStand and TestCue to control test station assets. Perform troubleshooting as required to determine failure conditions during development. Aid in the development of improvements and changes as required by Engineering. Use revision control software for all source and document data. Provide product demos and on-site training to future and end users. Willingness to travel frequently, up to 70%, to customer sites. Ability to work within both group and individual environments. Train customers on how to use our systems in formal and informal classes. ? Job Specifications To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. ? Qualifications: Experience and understanding in the application of principles, theories, concepts, practices and standards relating to modern software-defined architectures. Analytical reasoning and problem solving with knowledge in performing root cause analysis and recommending correct action to resolve test failures. Experience with using communication and/or bench test equipment to include but not limited to oscilloscope, multimeter and audio generator. Knowledge of RF Measurements. Experience with software development in C, C++ and C#.? Knowledge of Labview desired. Good communication and interpersonal skills. 3-5 years? experience within a technical troubleshooting, customer facing position Ability to be comfortable, calm and flexible while working in a shifting environment ? Preferred Qualifications: * LabView Certification. ? Education/Experience: Bachelor?s degree in Electrical/Electronics Engineering (BSEE) ? Computer Skills: * Experience with software development languages, such as C, C++, C#, MATLAB, and LabVIEW. * Proficient in Microsoft Office. ? Additional Details: Liaison Responsibilities: On-site at NYCT MTA and KRC facilities for meetings and reviews, acting as a go-between for project managers and customers. Attend on-site design reviews, general meetings, and facilitate communication between engineering, project management, KRC, and OEMs. Assist in closing project open items and send official communication. ? Disclaimer:? The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification.? They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. ? Employment Eligibility Requirements: An offer of employment is contingent on successfully passing a drug test and background check Due to federal contract obligations, must be a US Citizen or Permanent Resident ? Astronics Test Systems offers a competitive benefit package including: Stay Healthy - Health, dental, vision, disability, life insurance, FSA, HSA, as well as voluntary life/AD&D, voluntary critical illness, accident prevention and hospital indemnity Save for the Future - 401K & Employee Stock Purchase Plan Find Balance - Employee Assistance Program & Wellness Program Time for You - Generous Paid Time Off, Paid Holidays and Paid Parental Leave Professional Growth - Tuition Reimbursement Program ? Accommodation Request Astronics Test Systems is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. If you need special assistance or an accommodation while seeking employment, please e-mail *********************************** or call: ************. We will make a determination on your request for reasonable accommodation on a case-by-case basis. ? EOE Statement?- All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status.

Cupertino, California, United States Machine Learning and AI The Siri organization is looking for passionate Machine Learning Systems Engineers to join us in developing and shipping state-of-the-art generative AI technology to advance Siri and Apple Intelligence for Apple's customers. Siri is being elevated by the huge opportunities that AI brings.The organization is responsible for training on-device & cloud models, evaluating various approaches, pushing the envelope with the latest generative AI research developments, and ultimately delivering product critical models that power Siri and Apple Intelligence experiences. These models ship across a wide range of products at Apple, including iPhone, Mac, Apple Watch and more, enabling millions of people around the world to get things done every day. Our team provides an opportunity to be part of an incredible research and engineering organization at Apple. By joining the team, you will work with highly talented machine learning researchers and engineers, and work on meaningful, challenging and novel problems. Description As a Machine Learning Systems Engineer, you will work closely with Siri modeling teams and other cross-functional teams to optimize model training and inference. You will be working across the ML stack at Apple, finding opportunities to make models performant, train quicker, and run faster on Apple's custom Apple Silicon. You will be joining a team that spans data, modeling, evaluation, deployment and working with engineers across ML infrastructure, inference, and framework teams. You will write production-level code to train and deploy models that will impact Apple's customers and enrich their lives. You are an ideal candidate if you: Are not afraid of CUDA OOM or NCCL errors Can dig deep into an ML library to understand how tiny details impact the model Can understand complex ML systems that include data, training pipeline, export, and inference engine Minimum Qualifications Experience in model lifecycle of training, evaluation, and deployment of models Strong understanding of Machine Learning (ML) model architectures (e.g. Transformers, CNN) and ML training loop Strong proficiency in Python and ML framework such as PyTorch Bachelor's degree in Computer Science, Engineering, or related discipline, or equivalent industry/project experience Preferred Qualifications Collaborative with experience working in large inter-teams projects Expertise in ML and LLM optimization such as quantization, KV Cache, Speculative Decoding Familiarity with ML training methodologies such as FSDP, DDP, and other parallelism Experience in an LLM training/eval library such as HuggingFace transformers, lm evaluation harness, Megatron-LM. Experience in optimizing LLM models and deploying LLM models Proficiency in a compiled programming language (e.g. Swift, C/C++, Java) At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . #J-18808-Ljbffr

A leading technology company is seeking a Machine Learning Engineer to contribute to the development of Siri. You will work on designing and optimizing machine learning algorithms and collaborate cross-functionally at Apple. The ideal candidate will have strong programming skills and experience in machine learning. Salary base range is $126,800 to $220,900, with additional benefits including stock options and comprehensive healthcare. #J-18808-Ljbffr

A leading technology company based in San Francisco is looking for a creative engineer to enhance the iOS and iPadOS user experience on the Notifications and Focus team. Responsibilities include defining, designing, and implementing innovative features, fixing bugs, and improving performance. The ideal candidate should hold a Bachelor in Computer Science, demonstrate ownership, communication skills, and experience with UIKit or SwiftUI. Competitive compensation and comprehensive benefits are offered, including employee stock programs. #J-18808-Ljbffr

A global technology company is looking for a skilled Machine Learning Engineer specializing in Computer Vision to develop innovative AI solutions for smart manufacturing. Responsibilities include designing scalable ML infrastructure, implementing deep learning models, and debugging complex algorithms in production environments. Candidates should have a strong foundation in software development along with practical experience in image processing and machine learning. This full-time role offers a competitive salary range of $141,000-$202,000, plus bonuses and equity. #J-18808-Ljbffr

A healthcare technology company is seeking a Research Engineer to enhance ML infrastructure for medical imaging. You will manage data pipelines and contribute to production-ready systems. Ideal candidates have 3+ years' experience in production ML systems, strong Python skills, and familiarity with cloud technologies. This role involves collaboration with researchers and rapid prototype development. #J-18808-Ljbffr

A tech company in San Francisco is seeking an innovative AI Engineer to design and integrate cutting-edge AI capabilities. The ideal candidate will have over 2 years of experience, proficiency in AI/ML, and strong communication skills. This role involves collaborating with teams, developing AI systems, and addressing scalability challenges in a fast-paced environment. The team operates on-site in San Francisco five days a week. #J-18808-Ljbffr

A leading tech company is seeking a Storage Infrastructure Engineer for Machine Learning in Sunnyvale, CA. This role involves optimizing data storage systems for machine learning post-training data. Candidates should have strong programming skills in C++, Python, and a passion for enhancing data models. The position offers a competitive salary range of $141,000-$202,000 along with bonuses, equity, and benefits. Ideal candidates have a Bachelor's degree and relevant experience in software architecture, customer engagement, and project execution. This is an excellent opportunity to contribute to cutting-edge AI research. #J-18808-Ljbffr

Stytch is the platform for user authentication and anti-fraud tooling. We make it simple for developers to build complex authentication flows in minutes. We're looking for an experienced Solutions Engineer who thrives on educating, problem-solving, and building relationships with developers at industry leading companies. In this role, you will be responsible for understanding the needs of our customers, communicating solution designs, and leading technical evaluations. Throughout that path, you'll be serving as the auth subject matter expert with our customer's engineering team to drive a smooth and speedy evaluation. This is a hybrid, full-time position based in the SF Bay Area. We aren't looking for someone to be in-office 5 days per week, but are looking for someone who is excited to collaborate in-person on a weekly basis (2-3 days per week in-office). What Excites You A collaborative environment, working with prospective customers and internal teams to push our product forward Serving as a confident technical resource and voice for our customers Learning - our product suite and problem space is continually evolving, and staying on top of those changes is critical to success Building strong relationships with prospective customers to ensure a successful evaluation What Excites Us Demonstrated ability to communicate credibly and effectively at all levels; everyone from a CTO to a software engineer Grit - tenacity, curiosity, and drive to find the solution that works for customers and collaborate closely with engineering and product to give feedback and push for new features when needed Ability to read and write code - our product and customers are highly technical and we often share example apps and code snippets to help them understand our product Familiarity with modern web services and APIs. Experience with authentication protocols (SAML/OAuth), MFA, IdP is a bonus Enthusiasm to work in a high-growth environment and to help build processes and tools as needed Want You'll Do Lead technical customer conversations to identify, qualify and address customers' authentication use cases, requirements and constraints Collaborate with the sales team to demonstrate the business and technical value of Stytch Lead technical demos and POCs of Stytch's authentication platform Codify learnings from customer deployments into repeatable implementation methodologies and playbooks Develop technical domain expertise of authentication and authorization concepts and policies such as SAML, OIDC, and OAuth Partner with our Product organization to help shape our roadmap based on prospect and customer feedback, challenges and growth drivers Expected on-target earnings (OTE) for this position is between $140,000 - $180,000 with a base/variable split of 80%/20%. The anticipated OTE range is not inclusive of full benefits including equity, health care insurance, time off, paid parental leave, etc. We're looking to hire a GREAT team and that means hiring people who are highly empathetic, ambitious, and excited about building the future of user authentication. You should feel empowered to apply for this role even if your experience doesn't exactly match up to our job description. We are committed to building a diverse, inclusive, and equitable workspace where everyone feels like they belong. We look forward to hearing from you. Stytch participates in e-verify and will provide the federal government with your form I-9 information to confirm that you are authorized to work in the United States. #J-18808-Ljbffr

Pulse is tackling one of the most persistent challenges in data infrastructure: extracting accurate, structured information from complex documents at scale. We have a breakthrough approach to document understanding that combines intelligent schema mapping with fine‑tuned extraction models where legacy OCR and other parsing tools consistently fail. We are a small, fast‑growing team of engineers in San Francisco powering Fortune 100 enterprises, YC startups, public investment firms, and growth‑stage companies. We are backed by tier 1 investors and growing quickly. What makes our tech special is our multi‑stage architecture: Layout understanding with specialized component detection models Low‑latency OCR models for targeted extraction Advanced reading‑order algorithms for complex structures Proprietary table structure recognition and parsing Fine‑tuned vision‑language models for charts, tables, and figures If you are passionate about the intersection of computer vision, NLP, and data infrastructure, your work at Pulse will directly impact customers and shape the future of document intelligence. What we are looking for 5 days in‑office at our San Francisco office Eager to learn and adapt quickly Prior startup or founding experience is a plus About the Role As a Solutions Engineer at Pulse, you will work at the intersection of customer deployments and core engineering. You will help design, deploy, and operate Pulse in real production environments, often inside customer infrastructure, with a strong focus on reliability, performance, and accuracy. This role is hands‑on and technical. You will work closely with customer engineering teams while partnering with Pulse's platform, ML, and product teams to ensure successful deployments and continuous improvements. Responsibilities Deploy, operate, and debug Pulse services in Kubernetes‑based environments Work directly with customers to support production rollouts, pilots, and ongoing operations Configure and optimize extraction pipelines, schemas, and validation workflows Diagnose accuracy, latency, and infrastructure issues across distributed systems Build internal tools and customer‑facing utilities in Python to support deployments Support API integrations, webhooks, and downstream data delivery workflows Collaborate with core engineering to surface product gaps and improve platform reliability Own operational excellence for customer‑facing deployments, including monitoring and incident response Requirements 2+ years building and operating production systems, new grads with strong infra experience considered Strong experience with Kubernetes, including deploying, debugging, and operating services in production Proficiency in Python for backend services, tooling, and automation Experience working with APIs, distributed systems, and asynchronous workflows Comfort working directly with customer engineering teams on technical deployments Strong debugging skills across application, infrastructure, and data layers Clear written and verbal communication, with a bias toward ownership and execution Nice to have Experience running workloads on AWS, GCP, or Azure Familiarity with Docker, Helm, Terraform, or similar tooling Experience with observability tooling (metrics, logs, tracing) Background in data infrastructure, ML platforms, or document processing systems Sponsorship Sponsorship available. Compensation and benefits Competitive base salary plus equity, performance‑based bonus, relocation assistance for Bay Area moves, daily meal stipend, medical, vision, and dental coverage. #J-18808-Ljbffr

A dynamic tech firm in San Francisco is seeking a Solutions Engineer to bridge customer deployments and engineering operations. This role focuses on deploying and operating the Pulse service within customer environments, emphasizing reliability and accuracy. Ideal candidates will have over 2 years of experience with Kubernetes and Python, with strong skills in debugging and working directly with customers. Competitive compensation, including salary and benefits, is offered. #J-18808-Ljbffr

Mini-Circuits designs, manufactures and distributes integrated circuits, modules, and sub-systems for high-performance radio frequency (RF) and microwave applications. With design, sales, and manufacturing locations in over 30 countries, Mini-Circuits' products are used in a range of wired and wireless communications applications. Our products are also used in detection, measurement, and imaging applications, including military communication, guidance, and electronic countermeasure systems, commercial, scientific, military land, sea, and aircraft; automotive systems, medical systems, and industrial test equipment. Mini-Circuits sells its products to over 20,000 customers globally through our direct sales force, applications engineering staff, and sales representatives, as well as through our extensive website. Position Summary Design, validate, and scale automated production test systems and robotic device handlers for RF and Microwave components. This role is responsible for enabling standardized architectures, throughput improvement, global alignment, and long-term scalability of automated test processes. Salary Range $100,000 - $125,000 per year Job Function Define, design, and validate standardized robotic test handlers, adaptable across multiple RF product lines. Drive new handler integrations and improvements, document FPY, OEE, and operator experience metrics. Collaborate with global teams (Brooklyn, Florida, India, Malaysia) to ensure alignment, backup-site readiness, and standardized deployment. System Design & Development Analyze test and assembly processes to identify candidates for automation based on capacity, efficiency, and process control needs. Develop scalable, modular designs for automated handlers, including mechanical, electrical, vision, and control systems. Specify and integrate sensors (vision, position, presence), robotic arms, conveyors, and fixturing for precision RF component handling. Incorporate RF test-specific requirements (grounding, thermal, high-frequency probing, shielding). Prepare proposals, resource/budget estimates, and project plans for new automation initiatives. Lead cross-functional reviews and maintain stakeholder communication from concept to qualification. Manage vendor engagement, procurement, build, and qualification of handler systems. Documentation & Training Create system specifications, qualification/buy-off plans, operation and maintenance procedures. Train users and support personnel on deployed automation platforms. Drive continuous improvement in throughput, FPY, reliability, and maintainability. Track and implement engineering changes and upgrades into future designs. Stay current with emerging automation technologies (vision, robotics, motion systems, AI-driven inspection) and evaluate for Mini-Circuits applications. Qualifications BS/MS degree in Mechanical, Electrical, Mechatronics, or Control Systems Engineering. Minimum 5 years of relevant experience. Experience with robotic systems, automated handlers, or precision motion/vision-based automation. Familiarity with high-mix/low-to-medium volume manufacturing environments. Controls programming experience (PLC, microcontrollers in C/C++, or equivalent). Data collection and analysis skills (Excel, JMP, Python). Preferred Knowledge Experience with automated inspection systems (AOI, Keyence, Cognex vision). Knowledge of RF test process requirements and challenges. Conveyor/robot integration, pneumatic actuators, precision fixturing. Understanding of Lean Manufacturing, OEE analysis, and ROI calculations. Exposure to manufacturing ERP and PLM systems (SAP, Arena PLM, etc.). Skills Strong communication and documentation skills. Ability to lead cross-functional teams and vendor collaborations. Capable of balancing hands‑on design/build/debug with strategic project leadership. 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 and hear. The employee frequently is required to stand, walk, sit and use hands to operate a computer keyboard. The employee is occasionally required to reach with hands and arms. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, and ability to adjust focus. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Additional Requirements/Skills Must be a US citizen or US permanent resident Ability and willingness to abide by Company's Code of Conduct Occasional travel, some overnight, as required Benefits Comprehensive Medical, Dental, and Vision plans 401(K) and Profit‑Sharing Programs Disability Insurance Life Insurance Employer‑Sponsored Wellness Plans Hospital & Accident Indemnity Insurance Employee Benefit Advocate & Employee Assistance Program ul> Disclaimer: The listed qualifications and requirements for each position are intended as guidelines. Mini-Circuits reserves the right to hire outside of these guidelines at Management's discretion. Mini-Circuits is an Equal Opportunity Employer and does not discriminate on the basis of actual or perceived age, race, creed, color, national origin, sexual orientation, military status, sex, disability, predisposing genetic characteristics, marital status, familial status, gender identity, gender dysphoria, pregnancy‑related condition, and domestic violence victim status or protected class characteristic, or any other protected characteristic as established by federal or state law. #J-18808-Ljbffr

US Citizen Only with Active Secret Clearance Technical Requirements: * Tools: Mastery of Cameo Systems Modeler (No Magic) or IBM Rhapsody. * Standard: OMG SysML certification. * Traceability: Linking requirements in DOORS to system architecture models. * Scope: Modeling the "Digital Twin " of the UAV powertrain for the predictive maintenance pod.

About the Team OpenAI's Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI's supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI. About the Role We're seeking a Networking Operating System Firmware Engineer to help bootstrap and scale the switching layer of our AI supercomputers. In this role, you'll build and maintain custom SONiC NOS images from scratch, working across the Linux kernel, switch ASIC SAI/SDKs, platform drivers, control-plane services, and orchestration layers. You will validate, configure, and optimize switch platforms used across our high-bandwidth cluster fabric, ensuring performance, reliability, availability, and seamless integration with fleet automation. You'll collaborate with hardware and systems teams and guide vendors to meet stringent technical expectations. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design, develop, and maintain custom SONiC NOS images for large-scale bleeding-edge AI fabrics. Integrate and configure Linux kernel components, device drivers, switch ASIC SDKs, and SAI layers. Bring up new switch platforms (thermal/fan control, power monitoring, transceiver management, watchdogs, OSFP CMIS, LEDs, CPLDs, etc.). Extend and customize SONiC services for routing, telemetry, control-plane state, and distributed automation. Work with hardware teams to validate ASIC configurations, link bring-up, SerDes tuning, buffer profiles, and performance baselines. Evaluate switch silicon SDK releases, track vendor deliverables, and define platform requirements with vendors and ASIC partners. Debug complex issues spanning kernel, platform drivers, SONiC dockers, routing agents, orchestration services, hardware signals, and network topology. Integrate switches into fleet-wide monitoring, remote diagnostics, telemetry pipelines, and automated lifecycle workflows. Develop robust CI/build pipelines for reproducible NOS builds and controlled rollout across the fleet. Support factory bring-up and qualification all the way through mass deployment. Collaborate, architect, implement, and deploy novel networking protocols and technologies to achieve maximum performance and reliability at AI factory scale. You might thrive in this role if you: Proven experience working with SONiC or comparable NOS stacks (FBOSS, Cumulus Linux, Arista EOS, Junos PFE-level integration, etc.). Experience with updating OpenConfig gNMI interfaces and YANG data models. Strong background in Linux kernel, network device drivers, and low-level OS internals. Experience integrating Broadcom / Marvell / NVIDIA / Intel ASIC SDKs and SAI implementations. Proficiency in C, C++ and Python; familiarity with Rust/Go is a plus. Deep understanding of L2/L3 forwarding, ECMP, RoCE, BGP, QoS, PFC, buffer tuning, and telemetry. Hands‑on experience with hardware platform bring‑up and board‑level debugging. Familiarity with CI/CD pipelines, distributed config/state management, and large‑scale automation. Strong cross‑functional problem solving in high‑performance, distributed environments. Ability to lead teams to deliver a project end to end. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general‑purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Aff… Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US‑based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non‑public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non‑compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. #J-18808-Ljbffr