Research And Development Engineer jobs at FANUC America - 3291 jobs

Seattle, Washington, United States Machine Learning and AI The System Intelligence Machine Learning (SIML) organization is looking for Research Engineers with a strong foundation in Machine Learning and Computer Vision to develop the next generation of multi-modal Human Sensing technologies. You will be part of a fast-paced, impact-driven Applied Research organization building foundation models for facial and full-body perception, and working on cutting-edge machine learning that is at the heart of the most loved features on Apple platforms including Apple Intelligence, Camera, Photos, Visual Intelligence, etc. These innovations form the foundation of the seamless, intelligent experiences our users enjoy every day! Description As a Machine Learning Research Engineer, you will be responsible for designing and developing cutting-edge AI/ML models for Human Sensing, with a focus on building robust cross-domain identity recognition systems. Multi‑modal Human Sensing is a foundational capability that powers intelligent experiences based on key human traits such as identity, expression, clothing, action, gesture, gaze and human‑object interaction. Major Apple Intelligence experiences such as personalized Natural Language Search, Memories Creation, as well as personalized Image Generation are powered by our ability to learn robust representations of visual human traits. Efficient real‑time visual human sensing powers flagship Photography experiences such as Cinematic mode and Photographic Styles, communication experiences such as Center Stage, and paves the way for more natural human‑device interactions, e.g., with the DockKit framework. YOUR PRIMARY RESPONSIBILITIES WILL INCLUDE: Designing, implementing, and deploying state‑of‑the‑art visual recognition systems. Building foundation models for facial and full‑body perception. Driving data quality excellence through strategic dataset curation, validation, and generation to support world‑class model development. Building tools and frameworks for systematic failure analysis, identifying edge cases, and driving continuous model improvement. Directly interacting with all cross‑functional stakeholders to gather product requirements and translating these into actionable plans for ML research and development. Effectively communicating results and insights to partners and senior leaders, providing clear and actionable recommendations. Staying current with the latest trends, technologies, and standard methodologies in machine learning, multi‑modal foundation models, computer vision and natural language understanding. Actively contributing to Apple's ML community by disseminating research ideas and results, enhancing shared infrastructure, and mentoring fellow practitioners. Minimum Qualifications Master's or Ph.D. in Computer Science, Computer Engineering, or related fields; or equivalent professional experience in ML research and development. Proficient in Python, PyTorch or equivalent deep learning frameworks. Proven track record of designing and implementing solutions using modern ML architectures. Background in research and innovation, demonstrated through publications in top‑tier journals or conferences, patents, or impactful software developments. Preferred Qualifications Expert‑level knowledge of state‑of‑the‑art methods in face recognition or other facial analysis and biometric systems. Hands‑on experience training multi‑modal large language models. Experience with on‑device ML, model optimization, or production ML systems. 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 $171,600 and $258,100, 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. Apple accepts applications to this posting on an ongoing basis. #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 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. The Raytheon Mechanical Engineering (ME) Organization leads the mechanical hardware design, development and production of radar, sonar, torpedo, and combat system equipment. The ME Team uses state-of the-art tools, processes, technology, and Raytheon's Six Sigma principles. ME's capabilities encompass a broad range of technical disciplines which include engineering, manufacturing, technical services, materials, processes, analysis, test, and documentation. The Air Defense Ground Equipment (ADGE) Department leads mechanical design, development, and integration of platform systems. This includes shelter systems, hardware integration, cable & interconnections, as well as facility development, and site integration. The department is comprised of individuals with technical expertise and experience in hardware design, integration, and production support. The ADGE department is looking for a full-time Mechanical Engineer II - Design Engineer, located in Tewksbury, MA (Onsite). As a Mechanical Engineer II/Design Engineer you will support the design and development of rugged military electronics, transition product to production and provide sustainment support to operations and supply chain. You will participate as an integral member of a mechanical or cross functional team and will perform component/assembly modeling and documentation generation, release, and change incorporation. An explicit requirement of the MEII role is the growth of your design and problem-solving skills in support of product development and manufacturing. This is an onsite role. Responsibilities to Anticipate: Design: Investigate and resolve change requests from manufacturing or suppliers Development of rework and/or modification procedures Teaming/Communication: Interface with other engineering disciplines, non-technical disciplines, and suppliers to develop design solutions and resolve technical challenges. Work with limited supervision and meet commitments for assigned schedule, financial, and technical goals. Support and participate in design peer reviews, resolving action items, and conduct trade studies to make sound technical decisions. Mentor and guide less experienced engineers. Qualifications You Must Have: 2 years Mechanical Engineering experience, preferably in the design of hardware for use in Military environments. Experience with concept definition through detailed design, transition to production, and production support. Experience with 3D CAD design tools and related product data management tools. 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. Qualifications We Prefer: Technology and expertise: Advanced degree in mechanical engineering, or hardware systems design Familiar with Electronics Packaging, design and development of Electronic Systems, sub-Systems, Modules, Circuit Card Assemblies, Printed Wiring Boards, and interconnect. Supporting RF, Digital, and Power products. Experience in design, fabrication, and integration of electronic assemblies, shelter assemblies, power distribution equipment packaging. Working knowledge of Military and Commercial Specifications Drawing creation including communication of required functional and performance requirements. Knowledge in geometric dimensioning and tolerancing Familiar with ECAD development process. Proven ability to develop technical solutions to complex user requirements. Tools: Experience using CREO CAD design and documentation tools. Experience with PDM or similar product data management tool Familiarity with Configuration and Data Management. Proficient with Microsoft Office Suite (Word/Excel/Power Point/Project) Leadership: Demonstrated team player, a self-driven leader with excellent collaboration skills, interpersonal skills, and positive interactions in a teaming environment. Demonstrated ability to multi-task. Excellent communication, technical writing, and presentation skills. Willingness to travel (domestic and international) This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: ************************************************ 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

A leading technology company in Seattle is seeking a Large Machine Learning Model Optimization Engineer. You will drive the development of on-device ML models, collaborate across teams, and implement optimization techniques for performance improvement. A BS degree and strong Python skills are required, alongside a passion for shipping machine learning models. The role offers a competitive salary ranging from $139,500 to $258,100, along with comprehensive benefits and stock options. #J-18808-Ljbffr

Description Logistics Type: 6+ month contract to hire (C2H is a must have). Location: Willis Tower, downtown Chicago, IL - 5 days on-site, after conversion only 4 days on-site required. This team is looking for someone passionate about machine learning who can join a startup-like division. They are on the cutting edge of AI initiatives. This team supports many ongoing AI initiatives all centered around medical devices, so healthcare/med device/pharma experience is highly preferred. Role Summary Drive the technical execution of AI initiatives by bridging advanced algorithm research with scalable engineering. You will own the completion and future evolution of the PAI AI Development foundation, stand-up production‑grade MLOps, and act as the connective tissue between data, infrastructure, and algorithm teams. Key Responsibilities End‑to‑end design & delivery of ML solutions (data ingestion, feature engineering, training, validation, deployment, monitoring). Architecting a highly available, secure, cloud/on‑prem hybrid ML infrastructure. Lead implementation of CI/CD for models (testing, rollout, rollback, governance). Partner with algorithm scientists to translate ideas into production‑ready code. Ensure regulatory & privacy compliance (HIPAA, GDPR, SaMD) in pipelines. Evaluate emerging GenAI tools, multimodal techniques, and HW accelerators; pilot where valuable. Mentor scientists and engineers, establish coding standards, and conduct design reviews. Required Qualifications 8+ yrs software / ML engineering, incl. 3+ yrs architecting production ML systems. Strong domain knowledge and experience in medical signal and image processing. Background or experience with medical devices is strongly preferred. Deep expertise in Python; proficiency in one systems language (C++/Go/Java). Strong working knowledge of PyTorch/TensorFlow/JAX, distributed training, and GPU optimization. Hands‑on with Docker, Kubernetes, ML orchestration (Kubeflow, Airflow, Prefect), and model registries (MLflow). Experience operating in a regulated or mission‑critical environment. Proven record of leading project teams or mentoring ML scientists and engineers; comfortable making architectural decisions and rallying others around them. Preferred Qualifications Background in signal processing, computer vision, or multimodal learning. Prior involvement in FDA 510(k) / SaMD submissions or clinical‑grade ML products. Experience with data security, anonymization, synthetic data, and federated learning. Publications, patents, or open‑source leadership are a plus. Demonstrated ability to scale yourself through others - e.g., setting coding standards, running design reviews, or leading guilds/chapters. Soft Skills: Strategic mindset, bias for action, excellent written & verbal communication, team‑first attitude. Benefits BCBS Medical with 3 plans to choose from (PPO and high‑deductible PPO plans with Health Savings Program). Delta Dental plan with 2 free cleanings and insurance discounts. EyeMed Vision with annual check‑ups and discounts on lenses. Life and accidental death insurance paid by company. John Hancock 401(k) retirement plan with discretionary company match. Voluntary insurance programs such as hospital indemnity, identity protection, legal insurance, long‑term care, and pet insurance. Flexible work environment with some remote working opportunities. Strong fun and teamwork environment. Learning, development, and career growth. #J-18808-Ljbffr

Country: United States of America Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. 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. Raytheon is currently seeking a Principal Test Equipment Design Engineer to join the Sensor Test Solutions (STS) Department. This is an excellent position for engineers with a background in electrical design and software programming/automation, along with a desire to apply those skills to developing, building, and integrating advanced test platforms and architectures. You will be joining a project team responsible for the development of test solutions and architectures for various programs within Raytheon. Typical test development applications include analog/digital, RF, High Power, and embedded software/firmware design activities. Test architectures include a blend of customized and COTS Automatic Test Equipment (ATE), along with custom electro-mechanical holding fixtures and associated interface cabling and harnessing. Engineers in this role will also have exposure to the full lifecycle development process - from the requirements definition phase of the test solution design process through the verification and final system sell-off in a production facility or field/depot environment. What You Will Do Work with internal and external partners on the design and deployment of complex factory test systems Lead development of test hardware, software, and/or firmware through its development cycle, from requirements definition through deployment at manufacturing or customer facilities. These test capabilities may span disciplines (Power, RF, Analog, Digital) and domains (hardware, software, firmware) Work with Prime Engineering, Production, and Operations teams early in development cycle to identify capability and capacity needs for manufacturing test and ensure smooth deployment to manufacturing facilities Actively identify test readiness issues and optimizations through the development lifecycle Lead medium-to-large sized teams to meet project budget, schedule, and performance commitments Provide technical leadership to employees in support of their specific work assignments Engage in personal technical growth and encourage technical growth in peers and junior engineers through mentoring activities Prepare and clearly present project status to functional and program leadership Understand and report financial & earned value status for monthly reporting cycle Proactively manage and mitigate Risks and Opportunities Support Manufacturing operations, including on-site troubleshooting and debugging, both independently and in collaboration with design engineering teams Contribute to cost, schedule, and technical solutions for bid and proposal development Qualifications You Must Have Typically requires a Bachelor's in Science, Technology, Engineering, or Mathematics (STEM) Minimum of eight (8) years of relevant engineering experience Experience in an engineering design and development environment with at least four (4) years of direct experience with Test Equipment design and development tasks Experience leading technical teams and projects US Citizen - Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Ability to obtain Interim Secret U.S. government issued security clearance is required prior to start date Qualifications We Prefer Experience with project management tools such as MS Project, Jira/Confluence, and Earned Value Management System (EVMS) tracking software Experience with decision-making and problem-solving skills Experience with National Instruments' TestStand, LabWindows/CVI, and/or LabVIEW Digital, and/or Analog, and/or RF, and/or power supply test hardware design experience Experience with routine use and/or automation of commercial test and measurement equipment, i.e. Oscilloscopes, DMMs, network analyzers, power supplies, etc. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Eligibility Learn More & Apply Now! This is an onsite role. Employees who are working in onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Raytheon will sponsor clearance. Interim Secret Clearance required prior to start. This position requires the eligibility to obtain a security clearance. The Defense Industrial Security Clearance Office (DISCO), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: ************************************************ Raytheon Information - ******************************************* 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 101,000 USD - 203,000 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: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issues security clearance is required prior to start date Job Description 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. Manufacturing Engineers develop and improve manufacturing processes by studying products and manufacturing methods. They provide premier engineering and manufacturing support expertise to enable on-time, lowest cost hardware delivery with performance and reliability that exceed customer expectations. They execute across all phases of a program including proposal capture, process development, transition to production, and production support. Manufacturing Engineers design, control, and improve the manufacturing process and system design through a collaborative effort with the value stream team. You would apply your skills to implement improvements that reduce cycle time and cost and improve productivity, while maintaining a high level of safety in the manufacturing environment and quality within the product. The Manufacturing Engineering team in Andover, MA is seeking a second shift manufacturing engineer. What You Will Do Developing, maintaining, and reviewing Manufacturing Data Packages (MDPs) including assembly instructions, workflow/routing, labor standards, tool and fixture designs Supporting a manufacturing area as part of cross-functional team by guiding the production team through process troubleshooting and incorporation of engineering changes into the MDP Dispositioning non-conforming material with root cause and corrective action analysis as required Driving Continuous Improvement through process improvements to improve cycle time, reduce ergonomic risk to assemblers, automate, reduce costs (both direct and indirect) using CORE principles and data driven decision making Providing real-time technical support to manufacturers and fabricators; in-house as well as the supply base. Leading corrective action investigations to prevent recurrence Ability to travel as required Qualifications You Must Have Typically Requires a Bachelor's degree in Science, Technology, Engineering or Math (STEM) and minimum 2 years of prior relevant experience. 1 year of manufacturing experience. 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. Qualifications We Prefer Knowledge and ability to apply Six Sigma and/or DFMA principles and techniques Technical drawing interpretation, Geometric Dimensioning and Tolerancing (GD&T) Proficiency with CAD solid modeling tools (preference for CREO/ProE) and/or simulation tools Experience with designing, programming, maintaining, and troubleshooting automated tooling and machinery Experience with Refurbishment/Repair or Warranty requirements and processing of Government Furnished Material (GFM) or Equipment (GFE) Development of Specialized Tooling (Jigs, Fixtures, Packaging) experience Experience with military and industry standards Experience in developing manufacturing processes for electromechanical assemblies Experience in developing work cell layouts Conducting safety/ergonomic assessments Experience with MRL and TRL (Manufacturing Readiness Level and Technology Readiness Level) Assessments Solid understanding of configuration management practices Experience with cable and harness fabrication, including crimping requirements Experience with electromechanical integration of piece parts and subassemblies, including a knowledge of cable and harness routing techniques Familiarity with standard material handling practices, especially as they pertain to Electrostatic Discharge mitigation requirements Experience with the implementation of lifting and movement requirements for various sized assemblies and equipment Familiarity with Paint, Plating, Chromate / Chemical Conversions processes Master's degree Active DoD security clearance What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation assistance is not available Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. 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 68,900 USD - 131,100 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: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issues security clearance is required prior to start date 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. This is a 2nd shift role that includes an 8% shift premium Manufacturing Engineers develop and improve manufacturing processes by studying products and manufacturing methods. They provide premier engineering and manufacturing support expertise to enable on-time, lowest cost hardware delivery with performance and reliability that exceed customer expectations. They execute across all phases of a program including proposal capture, process development, transition to production, and production support. Manufacturing Engineers design, control, and improve the manufacturing process and system design through a collaborative effort with the value stream team. You would apply your skills to implement improvements that reduce cycle time and cost and improve productivity, while maintaining a high level of safety in the manufacturing environment and quality within the product. The Manufacturing Engineering team in Andover, MA is seeking a second shift manufacturing engineer. What You Will Do Developing, maintaining, and reviewing Manufacturing Data Packages (MDPs) including assembly instructions, workflow/routing, labor standards, tool and fixture designs Supporting a manufacturing area as part of cross-functional team by guiding the production team through process troubleshooting and incorporation of engineering changes into the MDP Dispositioning non-conforming material with root cause and corrective action analysis as required Driving Continuous Improvement through process improvements to improve cycle time, reduce ergonomic risk to assemblers, automate, reduce costs (both direct and indirect) using CORE principles and data driven decision making Providing real-time technical support to manufacturers and fabricators; in-house as well as the supply base. Leading corrective action investigations to prevent recurrence Ability to travel as required Qualifications You Must Have Typically Requires a Bachelor's degree in Science, Technology, Engineering or Math (STEM) and minimum 2 years of prior relevant experience. 1 year of manufacturing experience 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 Qualifications We Prefer Knowledge and ability to apply Six Sigma and/or DFMA principles and techniques Technical drawing interpretation, Geometric Dimensioning and Tolerancing (GD&T) Proficiency with CAD solid modeling tools (preference for CREO/ProE) and/or simulation tools Experience with designing, programming, maintaining, and troubleshooting automated tooling and machinery Experience with Refurbishment/Repair or Warranty requirements and processing of Government Furnished Material (GFM) or Equipment (GFE) Development of Specialized Tooling (Jigs, Fixtures, Packaging) experience Experience with military and industry standards Experience in developing manufacturing processes for electromechanical assemblies Experience in developing work cell layouts Conducting safety/ergonomic assessments Experience with MRL and TRL (Manufacturing Readiness Level and Technology Readiness Level) Assessments Solid understanding of configuration management practices Experience with cable and harness fabrication, including crimping requirements Experience with electromechanical integration of piece parts and subassemblies, including a knowledge of cable and harness routing techniques Familiarity with standard material handling practices, especially as they pertain to Electrostatic Discharge mitigation requirements Experience with the implementation of lifting and movement requirements for various sized assemblies and equipment Familiarity with Paint, Plating, Chromate / Chemical Conversions processes Master's degree Active DoD security clearance What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation assistance is not available Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. 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 68,900 USD - 131,100 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. The Materials and Process Engineering Department, which functions within Mechanical Engineering, is looking for a Materials Engineer to join our team in Andover, MA. This role is to support program hardware design and development and production activities. A qualified candidate will have background and experience in metallurgy and evaluating materials and processes used within product design and/or manufacturing. This position will offer a qualified candidate the opportunity to support material selections during design, development, and manufacturing of hardware, and support failure analysis activities associated with a wide range of product applications. The role will involve evaluation of a variety of materials, with a focus on metals and coatings, and validation and verification that materials and processes used on product meet design and program requirements. Tasks will require critical thinking to solve challenging problems and careful attention to detail on procedures and documentation of results. Collaboration with design engineers, manufacturing engineers, subject matter experts, and suppliers is required. A candidate must be able to manage and coordinate a wide variety of simultaneous tasks within set schedule requirements. What You Will Do: Evaluation of materials and processes based on conformance to specifications and design and performance requirements Working closely with design personnel in the selection and approval of materials and finishes in new and updated designs Supporting product production and supplier support activities Providing evaluation and resolution to technical, operational, and supplier problems related to materials and processes Participate in analysis and documentation of technical positions for alternate materials, obsolescence, and failure analysis Ensure labor costs and estimated completion schedules provided by the Materials and Process Engineering Sections are negotiated, understood, and met product/program commitments The Principal Materials Engineer job is in Andover, MA and the position is onsite. Qualifications You Must Have: Typically requires a Bachelor of Science degree in Materials Science and Engineering or Metallurgy and a minimum of 8 years of prior relevant experience. In absence of a degree, 12+ years of experience. An advanced degree in a related field may be substituted for additional years of experience Experience in metal alloy systems (i.e. Aluminum, Carbon Steel, Alloy Steel, Corrosion Resistant Steel, High Temperature Materials, and Specialty Alloys) Experience in metal design and development Qualifications We Prefer: Experience in evaluation of metals for use in products Experience working on programs, projects, or products associated with the Defense Industry Experience working with engineering drawings Experience with metal manufacturing methods including Casting, Forging, Mill Products, Heat Treatment, Furnace Brazing, Additive Manufacturing Experience working with and evaluation of suppliers performing special manufacturing processes Experience with common industry standards for metals and metal manufacturing including Aerospace Materials Specifications, American Welding Society, and ASTM International. Experience with corrosion fundamentals and mitigation techniques Experience with mechanical and/or chemical analysis methods and characterization techniques Experience related to Material Review Boards, Material and Process Change Boards, Risk Boards, and Engineering Review Boards Experience with project milestones such as preliminary design reviews and critical design reviews Earned Valued certification or experience Ability to write concise technical reports summarizing analyses Demonstrated ability to lead and complete scientific based projects including failure analysis and obsolescence investigations Proficient in Microsoft Office products (Word, Excel, PowerPoint) Strong communication, interpersonal, planning and time management skills ABET is the preferred, although not required, accreditation standard. Demonstrated ability to work effectively with coworkers from different communities and cultures Demonstrated ability to work with colleagues who represent a variety of background of work and conflict resolution styles What We Offer: Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. #LI-SM4 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 107,500 USD - 204,500 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 Type: DoD Clearance: Secret Security Clearance Status: Active and existing security clearance required after day 1 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. Raytheon provides premier engineering and manufacturing support expertise to enable on-time, lowest cost hardware delivery with performance and reliability that exceed customer expectations. Our work involves electronic hardware for radar, missile, and combat systems. An opportunity exists for a mechanical/manufacturing engineer to join the SAW Factory team responsible for production of microelectronic assemblies. This is a 2nd shift position, which includes an 8% added pay differential Provide microelectronic hardware operations engineering support to the SAW Module Microelectronics Assembly Area, with a focus on process improvement, cycle time reduction, defect prevention and the introduction of new hybrid electronic modules to production. Individuals will be required to participate in process improvement initiatives, establishment of process base line metrics, and SPC implementation and process data analysis. What You Will Do Translating engineering design requirements into formal manufacturing process documentation Programming for manufacturing automation Dispositioning of discrepant hardware Leading corrective action investigations to prevent recurrence. Participate in process improvement initiatives. Manufacturing process development and maintenance Conducting safety / ergonomic assessments Qualifications You Must Have Typically requires a Bachelor's degree in Science, Technology, Engineering or Math (STEM) and a minimum 2 years of prior relevant experience. 1 year of experience in CAD for designing tooling, fixtures and 3D fixturing. Qualifications We Prefer Knowledge of RF Microelectronic products Experience with the manufacturing processes and transition to production of new products and processes to support volume manufacturing Experience with supporting a microelectronics assembly production floor, (process and/or quality focus). Experience with related military and industry standards and specifications disposition non-conforming material with root cause and corrective action analysis Experience supporting and programming Wire and Ribbon bonding equipment. Experience supporting and programming Die attach and Dispense equipment. Working Knowledge of MIL-PRF-38534 and MIL-STD-883 Strong organization skills with ability to manage multiple tasks simultaneously. Innovative mindset that drives continuous improvement and keeps pace with advances in technology. Proven written and oral communication skills, including presentation skills. Demonstrated hands-on mechanical aptitude with the ability to work across disciplines. Adaptability to varying work assignments. Active DoD Clearance (Secret) What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation assistance is not available Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. 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 68,900 USD - 131,100 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 Type: DoD Clearance: Secret Security Clearance Status: Active and existing security clearance required after day 1 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. Raytheon provides premier engineering and manufacturing support expertise to enable on-time, lowest cost hardware delivery with performance and reliability that exceed customer expectations. Our work involves electronic hardware for radar, missile, and combat systems. An opportunity exists for a mechanical/manufacturing engineer to join the SAW Factory team responsible for production of microelectronic assemblies. This is a 2nd shift position, which includes an 8% added pay differential Provide microelectronic hardware operations engineering support to the SAW Module Microelectronics Assembly Area, with a focus on process improvement, cycle time reduction, defect prevention and the introduction of new hybrid electronic modules to production. Individuals will be required to participate in process improvement initiatives, establishment of process base line metrics, and SPC implementation and process data analysis. What You Will Do Translating engineering design requirements into formal manufacturing process documentation Programming for manufacturing automation Dispositioning of discrepant hardware Leading corrective action investigations to prevent recurrence. Participate in process improvement initiatives. Manufacturing process development and maintenance Conducting safety / ergonomic assessments Qualifications You Must Have Typically requires a Bachelor's degree in Science, Technology, Engineering or Math (STEM) and a minimum 2 years of prior relevant experience. 1 year of experience in CAD for designing tooling, fixtures and 3D fixturing. Qualifications We Prefer Knowledge of RF Microelectronic products Experience with the manufacturing processes and transition to production of new products and processes to support volume manufacturing Experience with supporting a microelectronics assembly production floor, (process and/or quality focus). Experience with related military and industry standards and specifications disposition non-conforming material with root cause and corrective action analysis Experience supporting and programming Wire and Ribbon bonding equipment. Experience supporting and programming Die attach and Dispense equipment. Working Knowledge of MIL-PRF-38534 and MIL-STD-883 Strong organization skills with ability to manage multiple tasks simultaneously. Innovative mindset that drives continuous improvement and keeps pace with advances in technology. Proven written and oral communication skills, including presentation skills. Demonstrated hands-on mechanical aptitude with the ability to work across disciplines. Adaptability to varying work assignments. Active DoD Clearance (Secret) What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation assistance is not available Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. 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 68,900 USD - 131,100 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

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data - securing and protecting private information more effectively - Elastic's complete, cloud‑based solutions for search, security, and observability help organizations deliver on the promise of AI. What is the Role As a Consulting Engineer - Search, you will play a pivotal role in helping our customers realize the value of Elastic's Solutions. Acting as a trusted technical advisor, you will work with enterprises to design, deliver, and scale architectures that improve application performance, infrastructure visibility, and end‑user experience. You'll collaborate with Elastic's Professional Services, Engineering, Product, and Sales teams to accelerate adoption of the Elastic Observability platform, ensuring customers maximize the value of their data while achieving business outcomes. This is a highly impactful role, with opportunities to guide strategy, lead complex implementations, and mentor both customers and teammates. What You Will Be Doing Translate business and technical requirements into scalable, outcome‑driven solutions built on the Elastic Stack. Lead end‑to‑end delivery of customer engagements - from discovery and design through implementation, enablement, and optimization. Partner with customers to architect, deploy, and operationalize Elastic solutions that drive measurable value and adoption. Provide technical oversight, guidance, and enablement to customers and teammates throughout project lifecycles. Collaborate cross‑functionally with Sales, Product, Engineering, and Support to ensure successful outcomes and continuous improvement. Capture and share best practices, lessons learned, and solution patterns across the Elastic Services community. Contribute to internal enablement, mentoring, and a culture of continuous learning and collaboration Apply your expertise to optimize queries, tune clusters, and handle high query/indexing throughput at enterprise scale. Collaborate with product and engineering teams to identify product improvements, extensions, and defects based on field feedback Operationalize vector search (e.g., kNN, ANN, hybrid embeddings) with Elastic's vector capabilities and ML models or similar. Profile and tune queries for high‑QPS environments with sub‑second latency targets. What You Bring 5+ years as a consultant, engineer, or architect with deep expertise in Enterprise Search technologies and concepts, including generative AI. Hands‑on experience deploying Elastic Search solutions or similar platforms (Solr, Algolia, AWS OpenSearch, Palantir, Unbxd, e‑commerce site search engines). Strong experience in custom search solution design, query development, relevancy tuning, and NLP use cases. Expertise in distributed systems and large‑scale application infrastructure. Proficiency in at least one programming language; knowledge of open‑source machine learning/AI frameworks preferred. Knowledge or certification in Kubernetes, Linux, Java, databases, Docker, AWS/Azure/GCP, Kafka, Redis, VMs, Lucene. Familiarity with DevOps practices: Docker, Kubernetes, Terraform, CI/CD. Ability to manage delivery from proof‑of‑concept through production rollout, while mentoring client teams for long‑term success. Familiarity with modern NLP and AI ecosystems (transformers, Hugging Face, vector DBs like Pinecone or Weaviate) as applied to search. Strong communication and presentation skills, with experience working directly with customers to gather requirements and deliver solutions. Bachelor's, Master's, or PhD in Computer Science, Engineering, or related field, or equivalent experience. Comfortable working in highly distributed teams, both remote and on‑site when needed. May require significant travel to customer sites to support engagements and solution implementations; candidates should be comfortable with varying levels of travel based on business needs. Bonus Points: Elastic Certified Engineer certification. Experience at a Big 4 consulting firm. Hands‑on experience with Ansible, Terraform, JavaScript, ECK/Kubernetes. Familiarity with machine learning and AI applied to search solutions. Experience contributing to open‑source projects or documentation. Public speaking experience at conferences, meetups, or enterprise workshops. Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below. These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future. An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company‑matched 401k with dollar‑for‑dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well‑being. The typical starting salary range for this role is: $110,900-$175,500 USD The typical starting salary range for this role in the select locations listed above is: $133,200-$210,700 USD Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you're looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn't matter if you're just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes encryption software and technology that is subject to U.S. export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Russia, Syria, the Crimea Region of Ukraine, the Donetsk People's Republic (“DNR”), and the Luhansk People's Republic (“LNR”). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement. #J-18808-Ljbffr

is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company's three core products are , a visual messaging app that enhances your relationships with friends, family, and the world; , an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, .teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We're deeply committed to the well-being of everyone in our global community, which is why are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.We're looking for a Principal Machine Learning Engineer to join the Content Relevance team Snap!What you'll do:* Drive the technical roadmap of the Content Relevance team and optimize our personalized video recommendation systems* Advance the core ML capabilities and design, implement, and scale the overall architecture of the content recommendation systems, ensuring scalability, performance, and reliability* Collaborate with cross-functional teams to align on machine learning strategies to meet company objectives* Stay up-to-date with the latest technology in machine learning and apply this knowledge to tackle complex problems in innovative ways* Collaborate with leadership to up-level the ML tech stack and improve the performance of the organization* Work across teams to understand product requirements, evaluate trade-offs, and deliver the solutions needed to build innovative products or services* Advocate for and apply best practices when it comes to availability, scalability, operational excellence, and cost management* Provide technical direction that influences the entire company Knowledge, Skills & Abilities:* Strong understanding of machine learning and deep learning approaches and algorithms, and their applications to advertising, recommendation, and/or search domain* Experience setting the direction for a team whose primary output is online ranking / recommendation models* Ability to design, train, and optimize advanced machine learning models* Excellent programming and software design skills* Ability to proactively learn new concepts and technology and apply them at work* Skilled at solving ambiguous problems and leading and executing complex technical initiatives* Strong collaboration and mentorship skills Minimum Qualifications:* BS in technical field such as computer science, mathematics, statistics or equivalent years of experience* 9+ years of post-Bachelor's machine learning experience; or a Master's degree in a technical field + 8+ year of post-grad ML experience; or a PhD in a related technical field + 5+ years of post-grad ML experience* 2+ years of experience with technical leadership or acting as the domain-expert to a technical organization* Experience developing and shipping performant and scalable machine learning models for recommendation or ranking use cases Preferred Qualifications:* Experience with recommendation systems* Experience with TensorFlow, PyTorch, or related deep learning frameworks* Advanced degree in a related field such as machine learning, computer vision, or mathematics* Experience partnering with cross-functional executives and management across a globally distributed organization and exercising sound judgment* Track record of delivery in rapidly changing, highly collaborative, multi-site, multi-stakeholder environments* Experience working with a diverse group of engineers* Experience contributing to AI publications If you have a disability or special need that requires accommodation, please don't be shy and provide us some ."Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week. At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).: Snap Inc. is its own community, so we've got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap's long-term success!CompensationIn the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position.These pay zones may be modified in the future.:The base salary range for this position is $276,000-$414,000 annually.:The base salary range for this position is $262,000-$393,000 annually.:The base salary range for this position is $235,000-$352,000 annually.This position is eligible for equity in the form of RSUs. #J-18808-Ljbffr

is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company's three core products are , a visual messaging app that enhances your relationships with friends, family, and the world; , an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, . teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We're deeply committed to the well-being of everyone in our global community, which is why are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.We're looking for a Principal Machine Learning Engineer to join the Ad Marketplace team at Snap!What you'll do:* Drive the technical roadmap of our Ad Marketplace and Pacing teams, advancing the sophistication of our systems, optimize ad spend and delivery, and make our auction more efficient.* Design, implement, and scale machine learning models and control systems to efficiently and optimally run our ad marketplace.* Collaborate with cross-functional teams to set and align on machine learning strategies to meet company objectives.* Stay up-to-date with the latest technology in machine learning and apply this knowledge to tackle complex problems in innovative ways.* Work across teams to understand product requirements, evaluate trade-offs, and deliver the solutions needed to build innovative products or services.* Advocate for and apply best practices when it comes to availability, scalability, operational excellence, and cost management.* Provide technical direction that influences the entire ML community.Knowledge, Skills & Abilities:* Strong understanding of machine learning and deep learning approaches and algorithms, and their applications to advertising, recommendation, and/or search domain.* Experience leading teams or roadmaps focused on recommendation, personalization, or generative AI.* Ability to design, train, deploy, and optimize state-of-the-art machine learning models for performance, reliability, and scale.* Excellent programming and software engineering skills, with an emphasis on clean design and production-readiness.* Ability to quickly learn new technologies and apply them effectively in ambiguous problem spaces.* Skilled at solving ambiguous problems and leading and executing complex technical initiatives.* Strong collaboration, communication, and mentorship abilities.Minimum Qualifications:* 9+ years of post-Bachelor's machine learning experience; or a Master's degree in a technical field + 8+ year of post-grad ML experience; or a PhD in a related technical field + 5+ years of post-grad ML experience.* 2+ years of experience with technical leadership or acting as the domain-expert to a technical organization.* Experience developing and shipping performant and scalable machine learning models for recommendation or ranking use cases.Preferred Qualifications:* Advanced degree in a related field such as machine learning, computer vision, or mathematics.* Experience in online advertising (including ad ranking, auction, marketplace optimization) or other online two-sided markets (e.g., job markets and matching).* Experience with TensorFlow, PyTorch, or related deep learning frameworks.* Track record of delivery in rapidly changing, highly collaborative, multi-site, multi-stakeholder environments.* Experience contributing to AI publications.If you have a disability or special need that requires accommodation, please don't be shy and provide us some ."Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week. At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).: Snap Inc. is its own community, so we've got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap's long-term success!CompensationIn the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position.These pay zones may be modified in the future.:The base salary range for this position is $276,000-$414,000 annually.:The base salary range for this position is $262,000-$393,000 annually.:The base salary range for this position is $235,000-$352,000 annually.This position is eligible for equity in the form of RSUs. #J-18808-Ljbffr

WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next‑generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE AMD's Data Center Platform Engineering Group (DPEG) is designing, developing, and delivering innovative technology infrastructure enabling the digital world. We create cloud‑enabling server/rack solutions that help the world's leading companies turn their ideas into reality. Our customers are future‑focused and so are we, always a step ahead of the next challenge. As experts in engineering, manufacturing, and supply chain, we're the bridge between problem and solution for the world's leading OEM & ODM partners and cloud services providers. Our customers depend on us to solve their most complex server/rack design needs. Come and join our Data Center Platform Engineering Group where we are building amazing, powered products with amazing people. AMD is searching for a dynamic and experienced Principal Member of Technical Staff to own system design support, rack‑level bring‑up, and critical customer engagement for our cutting‑edge AMD Instinct™ product line. In this high‑visibility role, you will act as the technical bridge between AMD's internal system architects, platform development teams, and our OEM partners. You will not only influence the design and architecture of AI solutions but also lead hands‑on debug and validation efforts at customer locations. As a technical leader, you will drive engineering, root cause analysis, and influence future roadmap stories based on field execution. KEY RESPONSIBILITIES System Architecture & Design Support Solution Optimization: Partner deeply with customers to architect and optimize Rack‑Scale AI solution deployments using AMD Instinct GPUs. Design Reviews: Provide support of design reviews for customer platform/rack designs; proactively flag areas for modification to improve quality, performance and competitive advantage. Bring‑Up, Debug & Validation Documentation & Best Practices: Deliver comprehensive technical documentation, best practices, and reference architectures to streamline the adoption and deployment of AMD AI platforms. Hands‑on Engineering: Drive hands‑on rack, platform, and component‑level debug and validation. This includes complex stress testing, issue reproductions, and deep‑dive root cause analysis. Issue Resolution: Lead customer issue resolution efforts, gathering diagnostics, managing critical escalations, and driving long‑term process improvements to ensure customer success. System Firmware Debug & Deployment: Lead debug efforts for system firmware (BIOS, BMC) during initial bring‑up and large‑scale deployment phases. Ensure seamless integration between hardware, firmware, and software stacks, and resolve interaction issues in customer environments. End‑Customer Debug & Sustaining: Own the technical support interface for end customers, provide high‑level engineering for deployed fleets. Leadership & Strategy Cross‑Functional Alignment: Represent debug progress, technical insights, and status with clarity and impact at the leadership level, ensuring alignment and accountability across cross‑functional teams. Roadmap Influence: Provide regular, detailed technical feedback from the field to directly influence AMD's software and hardware roadmaps. Future Architecture: Drive future product architecture decisions by leveraging unique insights gained from deep customer execution engagement. Mentorship: Build a culture of ownership, accountability, and technical excellence within the team, while actively mentoring senior engineers and emerging technical leaders. PREFERRED EXPERIENCE Advanced experience in system architecture, hardware/firmware debug, and customer‑facing engineering roles (HPC or AI/ML focus preferred). Deep understanding of Server/Rack system architecture (x86, GPU, PCIe, Interconnects). Strong proficiency in System Firmware (BIOS/UEFI, BMC/OpenBMC) debug, update flows, and deployment strategies. Experience with system bring‑up and debugging tools (oscilloscopes, logic analyzers, ITP, JTAG). Knowledge of power delivery, thermal management, and mechanical form factors in datacenter environments. Leadership: Proven track record of leading technical teams through complex problem‑solving scenarios and interacting with executive leadership. Travel: Ability to travel to customer, factory and company locations. ACADEMIC CREDENTIALS Bachelors, Masters, or PhD in Electrical Engineering, Computer Engineering, or Computer Science. LOCATIONS Seattle, WA.; Austin, TX.; Secaucus, NJ.; Santa Clara, CA. This role does not support visa sponsorship. #LI-CB1 Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee‑based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third‑party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's “Responsible AI Policy” is available here. This posting is for an existing vacancy. #J-18808-Ljbffr

A leading technology firm in Seattle is seeking a Principal Machine Learning Engineer to enhance generative recommendations within its content products. The successful candidate will lead innovative projects, improve personalization, and influence strategy within a diverse team. Qualifications include a strong foundation in machine learning and experience with generative models. A commitment to collaboration and a focus on user engagement are essential. Competitive compensation and benefits are offered as part of the role. #J-18808-Ljbffr

A leading technology company in Seattle is seeking a Principal Machine Learning Engineer to enhance its Ad Marketplace. The ideal candidate will drive the technical roadmap, design machine learning models, and collaborate across teams to optimize ad delivery. Applicants should have 9+ years of relevant experience and strong programming skills, with advanced degrees preferred. This role offers competitive compensation including substantial equity options, in a fast-paced environment focused on innovation and collaboration. #J-18808-Ljbffr

A leading technology company in Seattle is seeking a Principal Machine Learning Engineer for the Content Relevance team. The role involves driving the technical roadmap and optimizing personalized video recommendation systems. Ideal candidates should have extensive experience in machine learning and a strong background in programming and collaboration. This position offers competitive compensation, flexible work arrangements, and a commitment to diversity and well-being. #J-18808-Ljbffr

A leading tech company in Seattle is looking for a Principal Machine Learning Engineer to enhance AI-powered contract intelligence solutions. The candidate should have over 10 years of experience in building machine learning products and at least 4 years in ML frameworks such as Pytorch and TensorFlow. This role offers a hybrid work environment promoting flexibility, teamwork, and professional growth, backed by comprehensive compensation and benefits. #J-18808-Ljbffr

Company is helping our client find a Manufacturing Diagnostics Engineer to support the bring-up, validation, testing, and troubleshooting of the company's products, as well as the development and implementation of diagnostic systems and infrastructure. In this role, you'll develop, refine, and scale test processes for the electrical and firmware systems of the company's primary drive module subassembly, which is ultimately assembled onto the vehicle. The ideal candidate has strong debugging and diagnostic skills, hands-on experience with automotive networking and firmware testing, and enjoys working cross-functionally in a fast-paced manufacturing environment. As a Manufacturing Diagnostics Engineer, you will: Serve as the first line of defense for electrical, firmware, and functional issues on the drive module manufacturing assembly, including software, firmware, harnessing, networking (CAN, LIN, Automotive & Standard Ethernet, GMSL), hardware, and infrastructure. Troubleshoot and resolve electrical and firmware issues at the manufacturing supplier (e.g., flashing firmware, updating test sequences, repairing harness connectors, terminals, and wires). Work closely with multidisciplinary engineering teams to interpret component- and vehicle-level requirements and translate them into scalable, system-level validation test scripts and cases.7 Develop work instructions, troubleshooting guides, and workaround documentation for operators on the manufacturing line. Design and implement next-generation diagnostic architectures to support higher-volume production in future manufacturing lines. Daily tasks Responsibilities Serve as the first line of defense for all electrical and functional issues on the drive module manufacturing assembly including but not limited to software / firmware, harness, networking (CAN, LIN, Automotive and Standard Ethernet, GMSL, etc.), hardware, and infrastructure issues. Resolve electrical and firmware issues at manufacturing supplier by flashing firmware, updating test sequences, repairing harness connectors / terminals / wires, etc. Work closely with multidisciplinary engineers to collect and interpret the component and vehicle level requirements and translate them into scalable system-level validation test scripts and test cases Develop work instructions and troubleshooting / workaround guides for operators on the Manufacturing line Design and implement future manufacturing lines involving the next generation diagnostic architecture to support higher volume production Required skills Qualifications Bachelor's degree in a relevant area such as Electrical Engineering or Computer Science. Very strong troubleshooting and debugging skills and experience, including reading, troubleshooting, and injecting packets over various network protocols such as CAN, LIN, and Ethernet 2-4 years of experience with automotive controller integration testing or test script development / programming in high-level languages such as Python Experience with Github or similar tools for software management Strong background in Linux and shell / bash / terminal scripting Bonus Qualifications Master's degree in a relevant area such as Computer Science or Engineering Experience with integration and automation of manufacturing and test equipment Background in creating, reading, and writing to tables in SQL database Experience with computer network engineering, TCP / IP protocols, communication over API Business driver of role As a Manufacturing Diagnostics Engineer, you will be a part of the team that executes processes to bring up, validate, test, and troubleshoot the company products as well as implements diagnostic systems / infrastructure. You will develop and improve our processes for testing the electrical and firmware systems of the primary drive module subassembly that is ultimately assembled onto the company vehicle.