Manufacturing Engineer jobs at Astronics - 2646 jobs

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

The AI Production Engineering team at Meta is responsible for building and maintaining the tools and components that support the company's AI training services - directly impacting Llama and Meta's overall transformative GenAI efforts. This includes developing and optimizing the software and hardware used for data loading, job scheduling, and other critical components of the AI training process.As a member of this team, you will work closely with other engineers and researchers to ensure that our AI training infrastructure is reliable, efficient, and scalable. You will also have the opportunity to contribute to the development of new AI technologies and techniques, and to help drive the advancement of the field.Production Engineering is a hybrid software/systems group that ensures Meta's services and products run smoothly and have the capacity for future growth. Production Engineers work with Meta's product and infrastructure teams, sometimes embedded in those teams, collaborating in building and scaling technology solutions. Managing a Production Engineering team requires a comprehensive understanding of a wide range of technologies, a focus on growing and developing the skills and talents of your team, and a relentless drive toward high-value projects and ruthless prioritization. Required Skills: Manager, Production Engineering Responsibilities: Support and lead engineers and managers working on Meta's products and services, at different layers of the stack, on challenges related to scalability, reliability, performance and efficiency of systems Understand and contribute to technical architectures, capacity plans, tooling needs, automation plans, product launch plans and create comprehensive plans for prioritizing technical and resourcing challenges Drive technical architecture discussions, even on subjects you haven't had direct experience working with Develop lasting partnerships with product management, program management, network engineering, software engineering and other related groups to build and improve our ever-growing large-scale distributed infrastructure and product environment Empower engineers and managers to develop their careers, matching their strengths with projects tailored to their skill levels, long-term skill development, personalities, and work styles Help build and enrich an healthy work environment Assess employee performance on an ongoing basis, address under-performance, and recognize and promote performance Work closely with dedicated recruiting staff to expand the team including interviewing candidates, participating in conferences/events, and on-boarding new employees Balance the need to “keep things running” with allocating time to long-term, high-impact projects Minimum Qualifications: Minimum Qualifications: 6+ years of direct management experience in a technology role BS or MS in Computer Science, Engineering, or a related technical discipline, or equivalent experience Experience with systems, networking, and troubleshooting Experience drafting and reviewing code Experience with building teams and/or organizations, including hiring and managing performance Communication and cross-collaboration experience Public Compensation: $213,000/year to $293,000/year + bonus + equity + benefits Industry: Internet Equal Opportunity: Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com. #J-18808-Ljbffr

A leading technology firm in Seattle seeks a Machine Learning Engineer to optimize inference for advanced model architectures. You will build solutions serving millions of customers, mentor engineers, and work with cutting-edge technologies. This role requires strong leadership, cloud application knowledge, and GPU programming expertise. A competitive compensation package, including stock options and comprehensive benefits, is offered. #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: 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 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 launcher systems, shelter systems, missile hardware, 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 Principal Mechanical Engineer Lead to support Patriot Missile GEM-T major components and sub-assemblies, including obsolescence upgrades, procurement and supplier support located in Tewksbury, MA. (Onsite) What You Will Do Support design specification development through production qualification and release including ensuring design is manufacturable Ensure the suppliers are successful in completing major design and production reviews on schedule. Participate in design peer reviews and conduct trade studies to promote sound technical decisions. Provide responses to supplier questions related to general design expectations and interpretation of the relevant specifications. Provide guidance on Raytheon expectations for design rigor, level of TDP & MDP documentation required, typical analysis approach, and other similar topics. Connect suppliers with Raytheon subject matter experts as required. Collaborate with other engineering disciplines, non-technical disciplines, and suppliers to develop robust design solutions and resolve technical challenges. Work with limited supervision and meet technical, schedule, and monetary commitments. Apply knowledge and experience in technical problem solving and hardware development in an engaged team environment. Drawing generation, drawing release, and drawing change incorporation Qualifications You Must Have Typically requires a Bachelor's degree and 8 years of professional experience in Mechanical Engineering or related Engineering role. Experience in engineering design, development and/or production support Experience with Geometric Dimensioning and Tolerancing (GD&T) and ASME drawing and documentation standards and procedures The ability to obtain and maintain a U.S. government issued security clearance and US passport is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Qualifications We Prefer Experience using Computer Aided Design (CAD) tools Previous experience with design reviews including preparation of chart decks, generating design artifacts for presenting to suppliers and customers Mechanical or Electrical Engineering discipline degree with 2+ years of experience working within small electromechanical or gyroscope similar assembly/products. Familiarity with Earn Value Management (EVMS) ASME Y14.5 GD&T (Geometric Dimensioning and Tolerancing) experience Strong CAD design experience (CREO, AutoCAD preferred) 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: 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 Department Overview: The Air Defense Ground Equipment Mechanical Design Department is responsible for the mechanical design, development, and integration of critical defense platform systems. This includes radar and communications shelters, electronic subsystems, launchers, hardware integration, and system interconnects. We are currently seeking a motivated and driven Principal Mechanical Engineer to join our Ground Equipment Design Team. The ideal candidate will bring a blend of technical expertise, mechanical hardware design experience, system integration skills, and a strong background in program execution and production support. Role is an On-Site role in Tewksbury or Andover, MA Key Responsibilities: Perform mechanical design, development, and documentation of components, subassemblies, and major end items for defense systems, aligned with system requirements. Oversee small to mid-sized cross-functional engineering teams as the technical execution lead across all phases-from proposal generation and program initiation through design and into production. Serve as the technical focal point for mechanical or cross-functional teams within an Integrated Product Team (IPT) environment. Provide support for product integration with domestic and international factories and suppliers. Collaborate with engineering and non-engineering disciplines, and suppliers, to resolve technical challenges and develop robust design solutions. Work independently with minimal supervision while ensuring schedule, cost, and technical commitments are met. Support and participate in design peer reviews, and conduct trade studies to enable sound technical decision-making. Apply mechanical engineering knowledge to solve problems and support hardware development in a fast-paced, team-oriented environment. Mentor and guide junior engineers, fostering growth and knowledge sharing within the team. Required Skills: Minimum of 8 years of experience in Mechanical Engineering, including at least 3 years of hands-on design and development of mechanical equipment (preferably in military or defense environments). Proven experience spanning concept development, detailed design, transition to production, and sustainment. Strong background in mechanical design, material selection, and manufacturing processes. Proficiency in CAD design tools, specifically Pro/ENGINEER (ProE) and CREO, including Large Assembly Management. Familiarity with Product Data Management (PDM) systems: part structures, CNs (Change Notices), PRECOs (Preliminary Engineering Change Orders), and initial releases. Demonstrated creative problem-solving capabilities. Desired Skills: Master of Science in Mechanical Engineering or equivalent years of experience in a related role or discipline. Excellent communication, technical writing, presentation, and interpersonal skills. Working knowledge of Military and Commercial Specifications. Experience with: Design and integration of electronic and shelter assemblies Power distribution equipment packaging Rack system integration Troubleshooting electromechanical systems Interconnects, Cables, and Harness systems CNC machined components and welded assembly design ASME Y14.5 Geometric Dimensioning & Tolerancing (GD&T) proficiency. Experience with structural design and analysis. Strong skills in mechanical CAD modeling and drafting. Understanding of manufacturing systems and electromechanical production environments. Experience working within an Integrated Product Team, collaborating across Engineering, Operations, Supply Chain, and Quality teams. Ability to work effectively under pressure, meet deadlines, and manage priorities with minimal conflict. Flexibility and willingness to adapt to varied and evolving assignments. Strong team leadership and collaboration skills. Prior experience managing engineering risk and opportunity, as well as contributing to or leading proposal efforts. Earned Value Management (EVM) and Estimate at Completion (EAC) experience. Active or prior Secret Clearance is a plus. Required Education: Bachelor of Science (BS) in Mechanical Engineering or a related technical field. Security Requirements: U.S. Citizenship is required. Only U.S. citizens are eligible for a U.S. security clearance. The candidate must have the ability to obtain and maintain a U.S. security clearance. RTX Corporation is an Aerospace and Defense company that provides advanced systems and services for commercial, military and government customers worldwide. It comprises three industry-leading businesses - Collins Aerospace Systems, Pratt & Whitney, and Raytheon. Its 185,000 employees enable the company to operate at the edge of known science as they imagine and deliver solutions that push the boundaries in quantum physics, electric propulsion, directed energy, hypersonics, avionics and cybersecurity. The company, formed in 2020 through the combination of Raytheon Company and the United Technologies Corporation aerospace businesses, is headquartered in Arlington, VA. The following position is to join our RTX Corporate, Enterprise Services, Research Center or BBN team: What We Offer: Whether you're just starting out on your career journey or are an experienced professional, we offer a robust total rewards package with compensation; healthcare, wellness, retirement and work/life benefits; career development and recognition programs. Some of the benefits we offer include parental (including paternal) leave, flexible work schedules, achievement awards, educational assistance and child/adult backup care. Requires advanced to expert knowledge of work area typically obtained through advanced education combined with experience. May have broad knowledge of project management. Requires substantial knowledge of RTX projects, programs or systems in order to provide enhancements within job area. Typically requires: A University Degree or equivalent experience and minimum 8 years prior relevant experience, or An Advanced Degree in a related field and minimum 5 years experience Engineering/Other Technical Positions: Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 8 years of prior relevant experience unless prohibited by local laws/regulations. 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

Meet The Team Cisco Webex is the world's #1 business collaboration and customer engagement platform. It is used across all industries in the world being used to support governments, business, education, and more, including use by 85% of Fortune 500 business. The workplace of the future will be powered by AI, and we, Collaboration AI, is the team responsible for building AI/ML intelligent experiences within Cisco's Webex portfolio. The team is made up of multiple major AI fronts to enrich the collaboration use cases. This, in the order of processing pipeline, includes audio codec technologies, automatic speech recognition (ASR), text-to-speech (TTS), natural language processing (NLP) using and training LLMs and beyond, and gen‑AI evaluation methodologies, both metric-based and subjective testing. In addition, videos are empowered via computer vision (CV) and additional contextual information by employee graphs, and much more. We aim to build the next-generation AI solutions in collaboration software, devices, and APIs - from digitizing the in‑meeting, enhancing distributed team efficiency and improving all aspects of people connection. Your Impact In this role, you will be responsible for conducting applied NLP research to advance our Language AI features. This includes, but not limited to, hierarchical summarization, internationalization, evaluation of generated texts, human alignment, and more fundamentally, a crucial set of techniques that can utilize the existing pre‑/mid‑/post‑trained LLM model checkpoints to the best extent, by, for instance, fine‑tuning, adaptation, model surgery/editing, and reinforcement learning to customize models for the business need, for cloud, on‑prem, and on‑device deployment. Your duties will include innovating and employing cutting‑edge technologies with the consideration of practical product launch, which concerns optimization of performance, scalability, safety, reliability, and measurable generation quality. Staying up to date with the latest advancements in AI and machine learning (ML) is expected, as is suggesting how new technologies might be implemented. Addressing and resolving any modeling issues that arise from product applications will be an integral part of your responsibilities: Advance Collaboration AI's Language AI capabilities by researching, prototyping, and implementing next‑generation LLM technologies Conduct rigorous applied NLP research following systematic methodology: establish benchmarks, evaluate baselines, perform ablation studies, and deliver actionable recommendations Develop and evaluate NLP models that address specific business requirements Balance technical trade‑offs (performance, latency, cost, quality) to determine optimal production solutions Collaborate with product managers and stakeholders to translate research into production features Write production‑ready code with appropriate testing, documentation, and deployment considerations Pursue publication opportunities at top‑tier NLP and ML conferences Minimum Qualifications Recent graduate or in your final year of studies toward a PhD, or Master's degree with 3+ years of post‑graduation work experience in related fields. Relevant fields include Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related STEM program Strong foundation in machine learning and natural language processing, including familiarity with transformer architectures, common training schemes, and evaluation methodologies Proficiency in Python and experience with at least one deep learning framework Demonstrated NLP or ML research experience through publications, technical reports, thesis work, or significant contributions to related projects Preferred Qualifications At least one NLP or ML research paper published in a top‑tier conference, such as ACL, EMNLP, ICLR, ICML, NeurIPS, etc. Experience in using cloud services such as AWS, Google Cloud Platform, and Azure, for model training and deployment. Experience writing production‑quality Python code including testing, documentation, and code review practices Familiar with LLM benchmarking methods and experience analyzing benchmark datasets Experience collaborating with cross‑functional teams to deliver production ML solutions Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: Individual pay is determined by the candidate's hiring location, market conditions, job‑related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long‑term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: 10 paid holidays per full calendar year, plus 1 floating holiday for non‑exempt employees 1 paid day off for employee's birthday, paid year‑end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco Non‑exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full‑time employees Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next Additional paid time away may be requested to deal with critical or emergency issues for family members Optional 10 paid days per full calendar year to volunteer For non‑sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance‑based incentive pay on top of their base salary, which is split between quota and non‑quota components, subject to the applicable Cisco plan. For quota‑based incentive pay, Cisco typically pays as follows: .75% of incentive target for each 1% of revenue attainment up to 50% of quota; 1.5% of incentive target for each 1% of attainment between 50% and 75%; 1% of incentive target for each 1% of attainment between 75% and 100%; and Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non‑quota‑based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $181,000.00 - $270,300.00 Non‑Metro New York state & Washington state: $165,300.00 - $240,600.00 For quota‑based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non‑exempt, will participate in a unique time off program to meet local requirements. Cisco is an affirmative action and equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status or any other legally protected basis. Cisco will consider for employment, on a case‑by‑case basis, qualified applicants with arrest and conviction records. #J-18808-Ljbffr

A leading technology company in Seattle is seeking a Machine Learning Engineer to advance features in Apple products. The ideal candidate will have 1+ years of experience in machine learning, particularly in natural language processing and reinforcement learning. Responsibilities include developing RL technologies, collaborating with teams, and enhancing LLM capabilities. A master's or Ph.D. in a related field is preferred, along with a growth mindset and ability to adapt to new technologies. Competitive salary range is $139,500 to $258,100, along with extensive benefits. #J-18808-Ljbffr

Meet the Team We are an agile team with a startup feel and a strong bias for action. We move fast, embrace failure as part of the process, and stay focused on solving real‑world problems for defenders on the front lines. Our team blends deep expertise in AI, cybersecurity, and platform engineering. We are driven by a shared belief that the only way to outpace hackers is through AI advancements that free up humans to tackle real threats and more challenging problems. This is a place for builders who thrive in ambiguity, challenge the status quo, and care deeply about making a meaningful impact. If you're energized by tough problems, excited to shape the future of cyber defense, and eager to work alongside passionate experts, you'll feel right at home. Your Impact Design and build agentic workflows that combine detection signals, context, and playbooks to automate threat triage and response. Prototype and test new AI features -from enrichment agents to incident summarization-working closely with security SMEs to validate real-world utility. Develop an AIOps pipeline to enable rapid experimentation with prompts, models, and RAG systems, using clear, measurable success criteria to evaluate iterations. Evaluate model outputs for accuracy, reliability, and usability, then prototype and deploy improvements based on structured feedback and testing. Collaborate with product and platform teams to co‑design AI‑enhanced TDIR workflows that are intuitive, scalable, and immediately useful to analysts. Contribute to the core architecture powering AI‑native security operations, helping to shape how Splunk and Cisco scale trusted automation across the enterprise. Minimum QualificationsSecurity: Security Operations Experience - Understanding of security operations concepts, including detection, triage, investigation, and response. Security Telemetry Fluency - Comfortable working with common data sources such as endpoint logs, network traffic, authentication events, or cloud audit trails-and understanding how they're used in detection and investigation workflows. Engineering Experience: Senior‑Level Python Development - Consistent record building scalable backend services, APIs, and automation workflows in Python. DevOps/SecOps Practices - Proficient with CI/CD pipelines, version control (GitHub/GitLab), Jira, and automated testing frameworks. Security Automation - Experience building and integrating with product APIs to drive SecOps efficiency. Cross‑Functional Collaboration - Comfortable partnering with product managers, security SMEs, and engineers to iterate quickly and deliver impactful solutions. AI/LLM: Prompt Engineering & LLM Integration - Skilled in crafting, testing, and optimizing prompts for large language models. Ideally, you have contributed to or shipped an AI‑powered feature or product, and understand the nuances of integrating LLMs into real‑world workflows-including usability, performance, and trust considerations. AI Evaluation & Experimentation - Capable of designing experiments to evaluate LLM output for accuracy, usability, performance, and cost Preferred Qualifications SOAR/SIEM Familiarity - Experience working with security data and/or tools such as SIEM/SOAR platforms (e.g., Splunk), whether from a practitioner, developer, or automation perspective. Splunk Enterprise Security (ES) Experience - Familiarity with ES architecture, correlation searches, notables, and risk‑based alerting. Bonus if you've worked with Splunk's APIs, internals, or have experience developing on the Splunk platform. Security Operations Background - Former Tier 3 SOC analyst or equivalent, with experience automating SecOps workflows and building scalable, resilient detection infrastructure. RAG and Vector Search Implementation - Hands‑on experience developing retrieval‑augmented generation pipelines and working with vector databases (e.g., FAISS, Pinecone). LLM Fine‑Tuning and Embeddings - Exposure to fine‑tuning large language models or generating custom embeddings for domain‑specific tasks in cybersecurity. Security Data Engineering - Experience building and maintaining pipelines for ingesting, parsing, and normalizing large‑scale security telemetry. UX and Human Factors for Analysts - Background or interest in designing intuitive, AI‑assisted analyst workflows with a focus on usability, trust, and decision support. Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: The starting salary range posted for this position is $291,500.00 to $369,100.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job‑related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long‑term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: 10 paid holidays per full calendar year, plus 1 floating holiday for non‑exempt employees 1 paid day off for employee's birthday, paid year‑end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco Non‑exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full‑time employees Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next Additional paid time away may be requested to deal with critical or emergency issues for family members Optional 10 paid days per full calendar year to volunteer For non‑sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance‑based incentive pay on top of their base salary, which is split between quota and non‑quota components, subject to the applicable Cisco plan. For quota‑based incentive pay, Cisco typically pays as follows: .75% of incentive target for each 1% of revenue attainment up to 50% of quota; 1.5% of incentive target for each 1% of attainment between 50% and 75%; 1% of incentive target for each 1% of attainment between 75% and 100%; and Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non‑quota‑based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $291,500.00 - $424,400.00 Non‑Metro New York state & Washington state: $259,400.00 - $377,600.00 For quota‑based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non‑exempt, will participate in a unique time off program to meet local requirements. Cisco is an Affidavit Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records. #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

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

MEP Project Engineer - High-Rise Construction (Miami, FL) G&E Partners is partnered with a leading high-rise General Contractor in Miami that is actively expanding its project teams due to a strong pipeline of luxury residential and mixed-use tower projects. This is a fully on-site role supporting complex, multi-story builds and offers long-term career progression within a growing Florida operation. Responsibilities Support MEP scopes across all phases of high-rise construction Coordinate with mechanical, electrical, plumbing, and fire protection subcontractors Review submittals, RFIs, shop drawings, and MEP schedules Track procurement and long-lead equipment (switchgear, generators, chillers, etc.) Assist with inspections, testing, and commissioning activities Work closely with Project Managers, Superintendents, and BIM/VDC teams Maintain documentation and ensure compliance with contract requirements Requirements 1-5+ years of experience in construction, ideally with a GC or large MEP subcontractor Exposure to high-rise, multifamily, hospitality, or large commercial projects preferred Strong understanding of mechanical, electrical, and plumbing systems Degree in Construction Management, Engineering, or related field preferred Comfortable working fully on-site in Miami Why Join Career-defining high-rise projects (30+ to 100+ stories) Strong project backlog and long-term stability Clear path into MEP Project Management Competitive salary, bonus, and full benefits package

Description & Requirements Data: Bloomberg runs on data, and in the Data department, we are responsible for acquiring, interpreting, and supplying data insights to our clients. Our Data teams work to collect, analyze, process, and publish the data which is the backbone of our iconic Bloomberg Terminal - the data which ultimately moves the financial markets! We're responsible for delivering this data, news, and analytics through innovative technology - quickly and accurately. The Team: The Data Management Lab (DML) sits within the Data organization and supports Data's pursuit of data management excellence by aligning industry best practices with Bloomberg's established expertise in financial market data. DML empowers our data professionals to make their products "ready-to-use," through promoting increased data discoverability, accessibility, appraisability, interoperability, and analysis-readiness. As a core component of the Quality Methods & Insights (QMI) group, the Process Engineering (PE) team supports the design and optimization of operational processes for our data manufacturing pipelines. We are passionate about how our people and technology work in concert, leveraging a suite of powerful tools built by infrastructure engineers. In partnership with Data Quality and Business Intelligence, we advance the Data Management Lab's mission by empowering data teams with advances in observability, instrumentation, and analysis to meet the evolving needs of Bloomberg's clients. We are undergoing a strategic evolution, transitioning from a tactical implementation focus to a strategic enablement and empowerment role. We are seeking a visionary leader to manage our multi-disciplinary Process Engineering team, which includes Industrial Engineers and Process Systems Specialists. As the Team Lead, you will be instrumental to this transformation. You will define the strategystrategies for how we analyze, govern, and innovate within our data manufacturing pipelines, leading a high-impact team that blends advanced analytical rigor with practical systems governance. The ultimate goal of this evolution is to deliver significant business impact through improved product quality, increased operational efficiency, and effective risk management. You'll Be Trusted To: Set the Strategic Vision for Process Excellence: Define the team's roadmap for analyzing, governing, and innovating within our data manufacturing pipelines. Establish clear operating models with engineering, data, and product teams to drive effective collaboration. Build a Strategic Portfolio of Initiatives: Develop and manage a portfolio of process improvement initiatives, using systematic frameworks to prioritize efforts and ensure every project aligns directly with the core business goals of improved product quality, effective risk management, and increased operational efficiency. Lead and Mentor a High-Performing Team: Guide and develop a team of specialists in Industrial Engineering and Process Engineering. Foster a culture of innovation, methodological rigor, and shared ownership, empowering the team to become strategic enablers. Foster Deep Collaboration with QMI Partners: Work in close partnership with the Data Quality and Business Intelligence teams to create a unified approach to process excellence. Leverage their insights to inform process design and ensure your team's initiatives directly support data quality and analytical goals. Identify & Quantify Process Optimization Opportunities: Oversee deep-dive investigations to identify systemic bottlenecks and inefficiencies, specifically to identify opportunities to reduce effort through AI-driven automation or process re-design. Champion the use of advanced Industrial Engineering & Operations Research methodologies to quantify these opportunities and solve complex resource challenges. Drive Innovation Through Prototyping and Evaluation: Guide the prototyping of novel solutions to validate their impact and measure ROI before broader implementation. Lead the evaluation of new technologies and tools to enhance our operational capabilities. Oversee Process Governance and Knowledge Transfer: Establish and enforce best practices for our core workflow technologies (e.g., Jira). Promote knowledge sharing and develop training to federate process expertise across the organization. Act as a Key Strategic Partner: Interface with senior leadership in Data, Product, and Engineering. Translate complex business needs into a clear, actionable vision for process innovation and excellence, ensuring your team's work delivers measurable business impact. You'll Need to Have: Please note we use years of experience as a guide, but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role. Deep expertise in advanced quantitative process analysis and Operations Research methodologies (e.g., simulation, optimisation, SPC, process mining). A proven track record of leading analytical or technical projects that deliver measurable business impact (e.g., in efficiency, quality, or risk management) from conception through to completion. Exceptional strategic thinking, problem-solving, and stakeholder management skills; able to thrive in a relationship-driven environment to establish credibility, influence senior leaders, and drive change across a large organization. 8+ years of relevant professional experience, including 3+ years in a formal leadership or management role, guiding technical or analytical teams. An advanced degree (MSc/PhD) in Industrial Engineering, Operations Research, Systems Engineering, or a related quantitative field. We'd Love to See: Experience in an analytical, technical, or decision-science consulting role (or a similar internal consulting role), focused on operational or systems-level transformation. Professional certification in a process improvement methodology (e.g., Lean Six Sigma Black Belt, CMQ/OE, TOC). Professional certification in project management (e.g., PMP, PRINCE2, CSM). Experience applying these methodologies in complex operational environments such as manufacturing, supply chain, or logistics. Experience managing hybrid teams that include both deeply analytical (quantitative) and technical (systems-focused) specialists. A strong understanding of modern data stacks and how they can be leveraged to improve operational monitoring and analysis. Does this sound like you? Apply if you think we're a good match. We'll get in touch to let you know what the next steps are! Salary Range = 135000 - 230000 USD Annually + Benefits + Bonus The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level. We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns. Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.

Mini-Circuits designs, manufactures and distributes integrated circuits, modules, and sub‑systems for high‑performance radio frequency (RF) and microwave applications. With design, sales and manufacturing locations in over 30 countries, Mini‑Circuits' products are used in a range of wired and wireless communications applications. Our products are also used in detection, measurement and imaging applications, including military communication, guidance and electronic countermeasure systems, commercial, scientific, military land, sea and aircraft; automotive systems, medical systems, and industrial test equipment. Mini‑Circuits' sells its products to over 20,000 customers globally through our direct sales force, applications engineering staff, sales representatives, as well as through our extensive website. Position Summary: The Reliability Engineer is responsible for conducting reliability studies of existing products and coordinating new product qualification prior to market release. The candidate will work in collaboration with various teams including Reliability, Design Engineering, Product Engineering, Failure Analysis and Project Management teams. Salary Range: $99,000 - $117,000 per year Job Function: Participate in the product development meetings and guide the team to develop reliable products that meet internal specifications and customer requirements. Develop qualification plans for new products, primarily MMICs but also support other product lines including but not limited to Low Temperature Co‑Fired Ceramics, PCBA products, RF accessories and Core & Wire Products. Analyze new products for similarity with existing released products in terms of package, die process and design to determine Qualification by Similarity, thus streamlining qualification testing. Design and execute both device level and package level qualification tests including but not limited to MSL pre‑conditioning, Thermal cycling, UHAST, HTSL, ESD and Life Tests. Define ESD Human Body Model (HBM) and Charged Device Model (CDM) tests as per JEDEC standards. Collaborate with Engineering Test Teams to execute Accelerate Life Tests, High Temperature Operating Life Test. Execute Mechanical stresses such as Vibration, Mechanical Shock, Constant Acceleration & Bend Testing. Co‑ordinate with external labs for outsourced tests. Review RF Test data before and after stresses to analyze changes in performance. Collaborate with Failure Analysis teams to understand the root cause of failures. Identify and record any non‑conformities. Monitor solution implementations to verify effectiveness of corrective actions. Ensure On‑Time Completion of Qualification activities and escalator any potential delays. Present Qualification results with all relevant stakeholders to help Design teams initiate changes to improve reliability performance. Prepare written reports summarizing the results of product performance and failure analysis for both internal purposes as well as customer review. Interface with customers and suppliers on product reliability as required. Interface with supplier to purchase lab equipment. Support reliability assessments originating from production of released products or customer returns. Makes decisions within area of specialty, manages medium to large projects. Promotes ISO9001/AS9100 Quality. The duties, responsibilities and expectations described above are not a comprehensive list and additional tasks may be assigned to the member, within the scope of the position. Qualifications: BS in Mechanical Engineering, Electrical Engineering, Materials, Reliability, Industrial Engineering or Physics. Advanced degree preferred. 3‑5 years' experience as a Reliability Engineer in Semiconductor or equivalent industry. Familiarity with common industry standards including JEDEC, MIL‑STD‑883, MIL‑STD‑202 and AEC‑Q. Experience with Reliability Qualification by Similarity. Experience with Environmental, Mechanical and ESD stresses. Experience with problem solving methodologies and leading root cause analysis. Experience with customer returns failure analysis support. Must have familiarity with failure analysis techniques including Scanning Acoustic Microscopy (SEM), Radiographic Inspection (X‑Ray), Cross‑Section methods. Familiarity with MTTF, MTBF Calculations. Experience with Reliability prediction modeling and tools like Weibull++ (or equivalent reliability software) Experience with Data analysis tools including Advanced Excel, JMP, Minitab. Ability to analyze component performance data in reliability tests, including large variety of test parts and multiple design variations. Experience with Design of Experiments, FMEA, product design reviews and DFM. Excellent written and oral communication skills. Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to talk and hear. The employee frequently is required to stand, walk, sit and use hands to operate a computer keyboard. The employee is occasionally required to reach with hands and arms. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, and ability to adjust focus. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Additional Requirements/Skills: Ability and willingness to abide by Company's Code of Conduct. Occasional travel, some overnight, as required (up to 10%). Disclaimer: The listed qualifications and requirements for each position are intended as guidelines. Mini‑Circuits reserves the right to hire outside of these guidelines at Management's discretion. Mini‑Circuits is an Equal Opportunity Employer and does not discriminate on the basis of actual or perceived age, race, creed, color, national origin, sexual orientation, military status, sex, disability, predisposing genetic characteristics, marital status, familial status, gender identity, gender dysphoria, pregnancy‑related condition, and domestic violence victim status or protected class characteristic, or any other protected characteristic as established by federal or state law. #J-18808-Ljbffr

Data Device Corporation (DDC) invites you to explore career opportunities with a world leader in high-reliability connectivity, power, and control solutions for the Aerospace, Defense, and Space industries. Our dedication to quality products, on-time delivery, and superior support supports critical missions for our customers. This position is 100% onsite at our Bohemia, NY office with occasional travel to manufacturing location in Mexico. The pay range for this position is between $120,000 and $150,000 annually, and we will rely on previous experience. This position requires a U.S Person or a person who can qualify for a Department of State or Department of Commerce License. Position Summary: The Senior Design Engineer is responsible for developing new magnetics related components based on customer or marketing inputs. They shall have working knowledge of transformer design, property of materials, electrical testing, and design for manufacturability. Performance will be measured on creating designs that meet or exceed customer requirements, timely transition of new designs from concept to production readiness, collaboration with production in suggesting and implementing productivity projects. Key Position Accountabilities: Design and Development: Plan, conceptualize, and develop new magnetics components using new and innovative technology. Design analog circuits related to high frequency data bus and video signal transmission. Provide material and labor estimates to Sales for customer requests for pricing. Equipment and Materials Research: Actively seek out opportunities improve existing processes by keeping up with new equipment and material releases. Seek out ways to integrate new equipment and materials to improve productivity. Collaboration: Work closely with engineers, managers, and other design professionals in the development of prototypes, sustaining efforts, and integration of systems into manufacturing processes. Support the transition of designs from concept to prototype and to full-scale production. Mentoring and Design Review: Coach junior engineers in solving design issues. Responsible for project management of Design Reviews. Testing and Validation: Create, review, and verify test setups. Support the execution of testing procedures required for product acceptance and qualification. Collaborate with internal and external facilities to validate design performance against defined specifications. Engineering Analysis: Perform calculations to support CapEx return on investment decisions. Material Selection and Development: Choosing the right material for a specific application, considering factors like strength, durability, cost and environmental impact. Documentation and Compliance: Create, review, and maintain technical drawings, specifications, and product documentation using a mix of CAD (SolidWorks preferred), MS Word, and digital images. Ensure designs and processes meet industry and regulatory standards, including internal engineering standards and product definition procedures. Continuous Improvement: Apply problem-solving skills to identify areas of improvement in existing designs or manufacturing processes, making recommendations and providing solutions to enhance efficiency, quality, and cost-effectiveness. Failure Analysis: Ability to assist QA Department with technical support for internal and external CARs. Required Knowledge, Skills and Abilities: Mathematical and Analytical Skills: Strong ability to apply engineering fundamentals, and statistical methods to create innovative, reliable, cost effective design solutions that translate into more design wins. Design Skills: Strong knowledge of electromagnetic theory, magnetic circuit design, and magnetic material properties. Analog Circuit Design: Working understanding of analog and digital electronics, signal integrity, power and thermal management is a plus. Simulation experience with LTspice or similar is a plus. Problem Solving and Innovation: Excellent troubleshooting and critical thinking skills with the ability to propose innovative and creative solutions to complex design challenges. Communication Skills: Strong verbal and written communication skills, with the ability to present technical information clearly to both technical and non-technical stakeholders for internal and external customers. Excellent interpersonal skills to work collaboratively across teams. Bilingual in English and Spanish is beneficial. Adaptability: Ability to work on several projects at once and shift priorities as needed to meet company goals Attention to detail: High attention to detail with the ability to conduct rigorous reviews of designs, calculations, and test procedures to ensure compliance with specifications and quality standards. Printed Circuit Board Design: Ability to design and convert schematics into PCB layout drawings using OrCAD, Mentor, Altium, or similar is a plus. Qualifications: Bachelor of Science degree in Engineering discipline required. Bachelor's or Master's Degree in Electrical Engineering preferred 7+ years of related experience. Working Knowledge of Military Specifications. Experience in Military/Aerospace industry a plus. This position operates in a mix of office, manufacturing, and lab-based environment. Some travel may be required for process review at other manufacturing plants or supplier locations. Physical Demands: Must be able to remain stationary during design and analysis sessions. Having good manual dexterity and basic soldering / assembly skills to assist in building test and assembly fixtures is a plus. Ability to lift and move up to 25 pounds of testing or prototyping equipment. Frequent communication with cross-functional teams; ability to convey complex technical details clearly and effectively. This is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. This job description indicates, in general the nature and levels of work, knowledge, skills, abilities and other essential functions (as covered under the ADA) expected of the incumbent. Duties, responsibilities and activities may change at any time with or without notice as required. Data Device Corporation is an Affirmative Action/Equal Opportunity Employer and is committed to providing equal employment opportunity (EEO) for all persons in all facets of employment. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, gender, sexual orientation, gender identity, national origin, citizenship status, marital status, genetic information, disability, protected veteran status or any other legally protected status. #J-18808-Ljbffr

A global consulting firm seeks a Principal in Manufacturing Consulting who will lead and manage engagements, improving client operations through strategic consulting. Candidates should have a minimum of 12 years of relevant experience, particularly in the manufacturing sector, along with a solid grasp of technologies such as AI and IoT. This role offers opportunities for career growth and requires effective stakeholder engagement and extensive travel. Benefits include comprehensive medical coverage and a 401(k) plan. #J-18808-Ljbffr

We invite you to discover the excitement, diversity, rewards and excellence of a career at TRITECH Communications. With $100 million in annual revenues and 350+ employees, TRITECH is one of the nation's leading technology system integrators serving clients in corporate, education, healthcare and government industries. Our OneSource business model provides clients with a single source for the design, installation and maintenance of large / complex Audio Visual, Communications, PoE Lighting and Electronic Security Systems. Our corporate headquarters is located in Garden City, NY and the company operates four regional operations centers in New York City, Boston, Miami, Tampa and Washington DC. The AV Design Engineer will be responsible for executing and leading the full design process from ideation to production. You will draw new designs and update our current designs for new and current customers. Additionally, you will provide engineering support to our technical staff for design/build engagements. Responsibilities Lead the development of preliminary system design drawings, construction documents, equipment specifications and cost proposals. Work with our business units and end users to lead the technology design and discussion, analyze current client technology, listen to goals and challenges to help achieve desired outcomes. Create sales proposals in coordination with Estimating team for clients. Work with Program Manager and Project Team to verify system functionality through out implementation process. Develop and maintain knowledge of current and new technologies. Provide sales and technical staff with lessons learned on both a pre and post sales basis. Qualifications: Minimum 5 years working experience in the audio-visual or electronics field Preferred experience in the architectural or construction design space CTS and CTS-D certification preferred Proficiency in CAD and Microsoft Office Suite Ability to manage multiple tasks and priorities Ability to create architectural plans and modify architects' drawings to incorporate into systems. Excellent written and verbal communication skills with internal and external stakeholders TRITECH is an Equal Opportunity Employer

Astronics Advanced Electronic Systems (AES) is seeking a Manufacturing Engineering Technician to join our Manufacturing Engineering Team in Kirkland, WA. This position will support our 2nd shift and will be eligible for a $2/hour shift differential. Hours are Mon - Thurs 12:00 pm - 10:30 pm. JOB SUMMARY The Manufacturing Engineering Technician will apply engineering theory and principles to problems of industrial layout or manufacturing production, usually under the direction of engineering staff ESSENTIAL JOB FUNCTIONS The Manufacturing Engineering Technian is a skilled specialist that applies company standards, policies, procedures, and best practices in performing the following: * Respond to issues on the production floor. * Assist with basic concerns following set processes and procedures, escalating to others when needed. * Quickly Responds to production line issues, such as tooling misalignments, machine stoppages, or incorrect work instructions. * Assist Manufacturing Engineers with time studies, maintaining Manufacturing instructions, initiating change requests, and uploading information into the ERP/ERS. * Perform evaluations and audits of current Manufacturing work instructions to make improvements with safety and quality in mind. * Regularly engage with operators on the production floor to ensure instructions are clear, accurate, and easy to interpret. * Flow work instruction feedback to Manufacturing Engineers and Assist in incorporating changes. * All other duties as assigned. MINIMUM QUALIFICATIONS Education/Experience: * Associate's degree in engineering, mechatronics, or another applicable technical field. * Demonstrates proficiency (typically 4-6 years of direct experience in the essential functions of the position). Competencies: As a skilled specialist, the Manufacturing Engineering Technician will display the following competencies: * Complex Problem Solving - Identifying complex problems and reviewing related information to develop and evaluate options and implement solutions. * Time Management (Of self and others)- Managing one's own time and the time of others to be able to complete a job on time as scheduled. * Flexibility of Closure - The ability to identify or detect a known pattern (a figure, object, word, or sound) that is hidden in other distracting material. * Selective Attention - The ability to concentrate on a task over a period without being distracted. * Comprehension - Understand and apply information conveyed in written and oral methods. * Communication - Communicate information and ideas, written and verbal, so others will understand. * Customer service - Understand and quickly respond to customer needs. * Problem Sensitivity - Tell when something is wrong or is likely to go wrong. * Deductive Reasoning - The ability to apply general rules to specific problems to produce answers that make sense. * Critical Thinking - Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems. * Troubleshooting - Determining causes of operating errors and deciding what to do about it. * Judgment and Decision Making -Considering the relative costs and the environment will affect outcomes. Technical Skills: * Utilization of Enterprise resource planning ERP software * Microsoft Office * Microsoft Excel * Electrical/electronic knowledge * Understanding of schematics/drawings and interworking's of machines/engines (i.e. AC/DC power conversion) * Mechanical - Knowledge of machines and tools, including their designs, uses, repair, and maintenance. * Engineering Fundamentals: Understanding engineering principles and theories, particularly those related to industrial engineering. * Manufacturing Processes: Knowledge of manufacturing production processes and the various techniques used. * Industrial Layout Design: Ability to design and optimize industrial layouts for efficiency and productivity. * Time and Motion Study: Expertise in conducting time and motion studies to analyze worker operations and identify opportunities for improving efficiency. * Process Improvement: Skills in identifying, recommending, and implementing process improvements to enhance productivity and efficiency. * Data Analysis: Proficiency in analyzing data from studies to draw meaningful conclusions and insights. * Quality Assurance: Understanding of quality assurance principles and practices to ensure that production standards are met. Work Environment: * Exposure to high voltage * Exposure to LN2 * Exposure to power tools * Exposure to chemicals * Moderate noise environment ELIGIBILITY REQUIREMENTS * As a US Department of Defense Contractor, Astronics is bound by International Traffic in Arms Regulations (ITAR). Must be a US Person under ITAR to be eligible. * An offer of employment is contingent on successfully passing a pre-employment background screen and drug test which includes screening for the use of cannabis. Base salary range for the Manufacturing Engineering Technician is $31.76 - $47.64. Mid-point is $39.70/hour. Several job-related and non-discriminatory factors including but not limited to experience in comparable roles, skill sets, training, education, licensure or certifications, other qualifications, market conditions and business needs influence actual salary offered. Astronics AES offers a competitive benefits package including: Stay Healthy - Health, dental, vision, disability, life insurance, FSA, HSA, as well as voluntary life/AD&D, voluntary critical illness, accident prevention and hospital indemnity Save for the Future - 401K & Employee Stock Purchase Plan Find Balance - Employee Assistance Program, Hybrid work arrangements Time for You - Generous Paid Time Off, starting at 120 hours, plus 12 Paid Holidays