Engineering Technician jobs at Northrop Grumman - 4694 jobs

San Francisco Bay Area, California, United States Hardware Apple is looking for a world class display optical engineer to lead the design, development and qualification activities of the next generation display technology and products. Description This individual will serve as a focal point in managing new display technology development and drive the implementation of critical technology platforms to improve display performance, from design conception to hardware and experience prototyping, and to final products. You will be involved in system modeling to assist in design and validation. You will work with a diverse and multidisciplinary group of very hardworking colleagues. You will be a directly responsible individual and collaborate with multi-functional teams and suppliers to understand design tolerance and sensitivities, optimize system-level performance based on critical metrics, and validate system designs through engineering builds and design of experiments. A successful candidate needs to be comfortable with new technology, a flexible problem solver, meticulous in attention to detail, highly independent, and motivated to get results. You should be able to tackle problems outside of your respective technical area, have strong presentation and communication skills, and thrive in a hands‑on environment that values engineering excellence and innovation. You will be part of something big; come join us! Responsibilities Define display architecture, requirements along with actionable test/qualification plans Develop simulation models and hardware test vehicles Drive module qualification including issue failure analysis and corrective action Collaborate with system team to drive module specification and convergence Host regular supplier meetings to drive engineering activities to meet project milestones and convergence on any open issues Investigate new display technologies, perform detail tradeoff studies, and generate new approaches to further enhance display performance Minimum Qualifications Masters and a minimum of 5 years relevant industry experience Proficiency in optical design and simulation software for illumination (e.g., LightTools, Zemax OpticStudio Non‑Sequential, Speos) Proficiency with a data analysis and scripting language (e.g., MATLAB, Python, JMP) for modeling, simulation, and test automation Hands‑on experience with lab equipment for optical characterization (e.g., spectrometers, imaging colorimeters, goniophotometers) Preferred Qualifications Ph.D. in a related field Expertise in light source technology (eg mini‑LEDs, micro‑LEDs) Experience developing and implementing comprehensive test plans for optical system Familiarity with color science, color calibration, and display/lighting metrology standards Experience taking a hardware product from concept through to mass production Experience in building compelling hardware or experience prototypes Strong presentation and communication skills An eagerness to take on new challenges, learn new skills, and continually develop by staying open-minded & curious. Strong sense of personal ownership, with the ability to comprehensively handle tasks from start to finish independently At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . Apple accepts applications to this posting on an ongoing basis. #J-18808-Ljbffr

AIML - Data Engineer, Machine Learning Platform Technologies Seattle, Washington, United States Machine Learning and AI Join us in building the machine learning platform that enables teams at Apple to build Apple Intelligence and many other intelligent experiences across hardware, software and service products. As a Machine Learning Data Platform Engineer, you'll design and build the scalable dataset management platform that enables teams across Apple to discover, curate, version, share, process, and consume ML datasets with enterprise-grade compliance and governance. We're looking for an engineer with deep expertise in big data infrastructure and a passion for building platforms that make ML practitioners more productive. You'll work at the intersection of large-scale data systems, ML workflows, and data governance. Description In this role, you'll be architecting and building Apple's next-generation ML dataset management platform. This platform enables ML teams across the company to efficiently manage the full lifecycle of datasets, from initial curation and annotation through versioning, model training and evaluation, sharing, and compliance. You'll design scalable infrastructure that supports dataset operations at massive scale while maintaining strong governance guarantees. Your work will include building data lineage tracking systems, implementing automated compliance workflows, creating intuitive APIs and SDKs for dataset access, and ensuring seamless integration with ML training and evaluation pipelines. You'll collaborate with teams building customer-facing ML features across iOS, mac OS, and other Apple platforms, as well as compute infrastructure teams and ML framework owners. Your platform work directly enables the ML innovations that millions of customers experience daily. This role offers the opportunity to have broad impact across Apple's ML initiatives and to shape how thousands of ML practitioners build the intelligent experiences our customers love. Minimum Qualifications Bachelor's degree in Computer Science, related field, or equivalent practical experience. 10+ years building and scaling data infrastructure for petabyte-scale ML workloads with high reliability Deep expertise in modern data technologies (Apache Iceberg, Spark, S3, distributed systems), data modeling, schema evolution, and efficient storage formats (Parquet, Arrow, ORC) Experience building data pipelines that handle diverse ML data types: structured/tabular data, unstructured media (images, video, audio), embeddings, and multimodal datasets Proven track record building dataset management systems including versioning, metadata management, discovery, and integration with production ML training pipelines Experience designing data governance frameworks including lineage tracking, access control, retention policies, and compliance workflows Experience with cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes) Strong cross-functional collaboration skills to understand diverse stakeholder needs and articulate technical decisions across ML engineering, data science, legal, and product teams Preferred Qualifications Hands-on experience curating or managing datasets for production ML models Experience with data cataloging systems, metadata platforms, MLOps tools, or ML training frameworks Knowledge of privacy-preserving technologies and data quality/validation frameworks Note: Apple benefits and compensation information are provided as part of the overall package and are subject to eligibility requirements and plan terms. The base pay range for this role is between $201,300 and $302,200, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to participate in discretionary employee stock programs, and may be eligible for stock units and Apple stock purchase programs. You'll also receive benefits including comprehensive medical and dental coverage, retirement benefits, discounts on products and services, and reimbursement for approved education-related expenses. This role may be eligible for discretionary bonuses, commissions, or relocation assistance. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant. #J-18808-Ljbffr

Seattle, Washington, United States Machine Learning and AI Join us in enabling the next generation of intelligent experiences in Apple's products and services with the latest advancements in Generative AI and Large Language Models! We are looking for a very experienced, machine learning engineer, who has also worked in ML infrastructure. Ideally, you should have experience with shipping intelligent features, end-to-end, and from idea to production. You should also have experience in building ML infrastructure to enable others to iterate faster and expertise in certain ML domains (preferably in Gen AI and LLM). You will help find novel solutions for our ML problems and collaborate with all ML teams at Apple to optimize our platform. Are you ready to impact billions of our users? Description You''ll be part of Apple's internal Machine Learning Platform group that enables ML teams to iterate their projects faster, from: data engineering, labeling, training, online and offline evaluation, experimentation and more. Bring your expertise to help us define and build the next set of features (given the new challenges in the latest advancement of generative AI and large language models). You will also partner closely with our customer and other internal partner ML teams cross the company to help further adopt and apply our platform, gain feedback and iterate our products (services, SDK and web UI) to be more user friendly and scalable. Minimum Qualifications A minimum of 3 years as tech lead 8 years of proven experience in machine learning related software engineering, such as: product, infrastructure, frameworks or tools Strong expertise in machine learning domains, such as: CV, NLP, recommender systems, Gen AI or LLMs (preferred) Proficient in ML training and deployment frameworks, like: Tensorflow, PyTorch, Faster Transformer, TensorRT, vLLM Proficient in cloud computing and data processing infrastructure and tools: Kubernetes, Ray, PySpark, SQL Ability to clearly and concisely communicate technical and architectural problems, while working with partners to iteratively find solutions Bachelors in Computer Science, related field or equivalent experience Preferred Qualifications Strong expertise in machine learning domains, such as: CV, NLP, recommender systems, Gen AI or LLMs At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $171,600 and $302,200, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . #J-18808-Ljbffr

We're looking for a staff software engineer to lead a team scaling the distributed systems running Asana's in‑house web framework, LunaServer. You will help us ensure high availability and performance as we support higher throughput from ever larger customers. The LunaServer Infrastructure team owns and supports the production services that run Asana's business logic and asynchronous task queue. As the Tech Lead of the team, you will help us anticipate scaling challenges and plan work for the team to solve those problems. We work closely with other teams in the backend infrastructure group to build and retain customer trust in Asana as the platform for their critical workflows. This role is based in our San Francisco office with an office‑centric hybrid schedule. The standard in‑office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in‑office requirements. What you'll achieve: Work with other engineering leaders to set an ambitious and compelling roadmap for a team of 5‑7 backend engineers Design and implement reliable, performant, and scalable distributed systems backing Asana's webservers and Developer API Improve and evolve how we schedule, run, and manage our asynchronous task queue Lead large projects with other backend engineers through all stages of development, from design and implementation to deployment and iteration Mentor other engineers on the team on topics such as project leadership and system design principles Collaborate closely with other infrastructure teams at Asana to define how user data in the Work Graph is accessed Support framework and product engineers to build new product functionality at scale, quickly Ensure high customer trust by participating in an on‑call rotation for our team's services About you: 6+ years of engineering experience building and operating reliable backend services, with 3+ years of experience leading projects and initiatives You have experience setting direction for and leading large initiatives (spanning across multiple teams, and perhaps organizations) You have a passion for mentoring other engineers to help them create and maintain production‑quality infrastructure You are skilled at communicating technical concepts and constraints to cross‑functional partners in product and sales You demonstrate curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision‑making You have experience managing Node.js services in production You are familiar with infrastructure‑as‑code and container orchestration technologies like Terraform and Kubernetes At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we'll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $248,000 ‑ $316,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long‑term savings or retirement plans In‑office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. #LI‑Hybrid #LI‑AA1 About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office‑centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. Join Asana's Talent Network To stay up to date on job opportunities and life at Asana. #J-18808-Ljbffr

A leading real estate information firm is looking for an Associate Machine Learning Engineer to develop and implement cutting-edge machine learning algorithms. The role involves collaboration with researchers and engineers on projects involving computer vision, deep learning, and 3D data analysis. Candidates should have a bachelor's degree in computer science or related field, Python programming skills, and relevant internship experience. An annual salary between $82,300 - $179,000 is offered along with a benefits package. #J-18808-Ljbffr

Join our amazing team of professionals at Sigma! We believe in truly taking care of our associates to ensure they feel empowered to be their best selves at work. You are not just applying for a job, this is the start of a new career with a fast-growing, innovative global food organization. Ready for your next opportunity? Come join our table! LOCATION This is an onsite role that requires the candidate to be located in Seminole, OK, but is open to OKC candidates who are willing to make the commute. R&D Technologist Position Summary Oversee the development of new products, research emerging products, processes, and trends, and identify and evaluate third party co-packers. Essential Job Functions Research new ingredients and technologies to apply in Snacks and Emerging Products and Processes. Develop new products. Define recipes and production processes. Define production parameters to assure production consistency. Create technological approval procedures for Raw Materials, Ingredients and Packaging. Identify and evaluate third party co-packers. Analytical evaluation of prototypes, create a prototype approval process. Other duties as assigned. Minimum Qualifications Bachelor's degree in Food Science/Food Technology/Animal Science or related area. Three years of experience in the meat or food industry. Three years of HACCP experience or HACCP certification. License/Certifications: N/A Preferred Qualifications: Master's degree; Experience in Dry Cured Meat Knowledge, Skills & Abilities (KSA's) Knowledge of technical instrumentation and tools utilized in the meat industry. Creative problem solving skills, sound judgment, and an orientation towards innovation. Ability to recognize and support the organization's preferences and priorities. Technical knowledge and good reasoning abilities. Proficient knowledge of Microsoft Office (Outlook, Word, Excel, PowerPoint). Proven analytical skills with attention to details. Demonstrated ability to communicate across all levels of the organization, present complex ideas concisely and clearly articulate ideas verbally and in writing. Ability to work well under tight timelines and meet deadlines with a high level of accuracy. Ability to build professional relationships with cross functional teams while facilitating a collaborative environment. Environmental/Working Conditions Able to work in an office and plant environment with exposure to noise, equipment and machinery. Able to work in a cold environment of approximately 34˚ F for prolonged periods of time. Physical Requirements Usual plant environment with frequent sitting, walking, and standing, and occasional climbing, stooping, kneeling, crouching, crawling, and balancing. Frequent use of eye, hand, and finger coordination enabling the use of machinery and equipment. Oral and auditory capacity enabling interpersonal communication as well as communication through automated devices such as the telephone. The noise level in the work environment ranges from normal office levels to loud levels due to equipment and machinery use.

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. PhD degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience. Academic, educational, internship, or project experience with physical design and 3D integration technologies such as 3D-IC, 2.5D, chip stacking, vertical stacking, integrity, or Through-Silicon Vias (TSV). Experience with running industry standard tools for chip design (e.g., from Synopsys, Cadence, or Siemens EDA). Preferred qualifications Experience with advanced finfet and gate-all-around technology nodes, and enabling physical design flows in these nodes. Experience in delivering optimized digital place-and-route blocks leading to test chip or product tapeouts. Experience with programming/scripting (TCL, Python, or Perl). Expertise with Power, Performance, and Area (PPA) design trade-offs and optimizations in physical design spaces. Understanding of standard cells, SRAMs, power, noise, and IR analysis. Excellent presentation and communication skills. About the job In this role, you'll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You'll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems. As a Physical Design Engineer in 3D Technology, you will collaborate with technology, physical design, circuit design, and hardware architecture teams to overcome the slowing of Moore's Law while delivering ASIC's and SoC's. You will help develop new 3D technology physical design methodologies to drive best product Power Performance Area (PPA) by optimizing across technology, digital block implementation, clock distribution, floorplanning, circuits, memories, and third-party IPs. You will drive new physical design flows that co‑optimize across the entire design methodology space, including 3D and see these through from inception to maturity and tapeout. This will include high impact physical design innovations with through‑silicon vias (TSVs) requiring methodology and verification flow development and ratification. As part of this work, you will participate in the development of exceptional technology in high performance computing and ensure product success. The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving team behind Google's groundbreaking innovations, empowering the development of our AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world‑leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. The US base salary range for this full‑time position is $132,000-$189,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities Drive development of a leading edge 3D technology platform for custom, high performance ASIC's and SoC's, from design through manufacturing, packaging, and test. Optimize digital blocks for performance, power, area, and reliability using physical design and circuit techniques. Define optimal methodologies by investigating performance, power, and area across different technology nodes and implementation techniques. Work with our physical design, technology, circuits, and architecture teams and IP partners in advanced Complementary Metal‑Oxide‑Semiconductor (CMOS) nodes. Design and build custom circuits at the transistor and gate levels to support physical design and floorplan optimization. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. #J-18808-Ljbffr

A leading technology company in Cupertino is seeking a Senior Machine Learning Engineer to enhance Siri's capabilities. The ideal candidate has a Master's or PhD and 10+ years in machine learning systems, focusing on model accuracy and collaboration across teams. Competitive compensation includes base pay, stock options, and comprehensive benefits. Join us to shape the future of intelligent assistance. #J-18808-Ljbffr

Are you an experienced Associate Engineering Technician with a desire to excel? If so, then Talent Software Services may have the job for you! Our client is seeking an experienced Associate Engineering Technician to work at their company in Chattanooga, TN. Primary Responsibilities/Accountabilities: Under general supervision, supports engineering teams by performing technical tasks that require an intermediate understanding of engineering principles and practices. Utilizes digital tools and design software (e.g., CAD, BIM, 3D modeling) to create, modify, and maintain technical documentation, drawings, and project deliverables. May begin to provide technical guidance and mentorship to less experienced engineering technicians Continues to learn and remains current on standards, systems, document control, departmental guides and B&V policies and procedures. Begins to proactively apply knowledge of the B&V Quality Program to ensure that the deliverables are accurate and compliant. Demonstrates personal accuracy and supports continuous improvement and change management efforts. Broadening the use of applications to learn to continuously evaluate and improve methods, processes and procedures used to accomplish deliverables. Create and develop deliverables based on a variety of design inputs. May perform basic computations such as material quantity estimates and dimensional checks. Assist in coordinating deliverables with other groups involved on the same project to minimise interference or errors. Focuses on the needs of internal clients while gaining a basic understanding of external clients' main interests and drivers. Proactively seeks and shares knowledge of the latest technologies and processes Qualifications: This is for Electrical, so 2-3 years drafting experience for electrical projects (not interested in folks who have a civil focus). Experience with substation would be nice (schematics, wiring, site layouts). 2-3 years of experience with Autodesk AutoCAD (Microstation a plus). This is specifically for the Chattanooga office at this location - 1232 Premier Drive, Suite 320, Chattanooga, TN 37421. NEED a drafter to sit in this office, specifically to grow their expertise around a client that is local to their office. So this would be exclusive to someone who is in a commutable distance to the Chattanooga office.

A leading streaming platform is seeking a Senior Software Development Engineer in San Francisco to enhance their video platform. You'll lead a team, mentor engineers, and collaborate with product managers, significantly impacting the user experience. Ideal candidates have extensive software development experience and strong knowledge in backend services and governance. This role offers competitive benefits including health insurance and PTO. #J-18808-Ljbffr

A leading tech company is seeking a Software Development Manager for its Ads Sales Tech group in San Francisco, California. The successful candidate will lead and develop teams responsible for key advertising technologies, evaluate complex requirements, and create a vision for timely project delivery. Candidates should have extensive engineering experience, including team management and web services development. This role offers a dynamic work environment and the opportunity to influence technical direction. #J-18808-Ljbffr

Title: Automation Technician 1st Shift Duration: 12 Months Key Skills and Experience: **2-3 years of experience in the maintenance, troubleshooting, and repair of manufacturing production and test equipment, or other related equipment or machinery. **Possesses excellent hands-on mechanical experience and a strong aptitude for learning new mechanical processes and providing instruction to team members. Overall Job Description: An Automation Technician's responsibilities include performing PMs and inspections on a variety of automated and semi-automated equipment, machine assembly/disassembly, and providing technical expertise and support to other maintenance technicians. An Automation Technician will also work on projects for new equipment and/or processes, assist with validations, and calibrations. Additional responsibilities include monitoring equipment for maintenance and improvement opportunities and updating PM schedules as needed. An Automation Technician recognizes and elevates safety, equipment, and product problems, contributing to the achievement of production goals. Ensures all production related documentation is in compliance with quality system regulations. Will assist in training new employees and sharing best practices. An Automation Technician also provides guidance to team members and communicates and collaborates with leadership as needed. They must have strong communication and organizational skills and the ability to identify opportunities that would drive the business forward.

Onsite role in Beaverton, OR Contract Duration: 08 Months Contract Looking for a Seasoned Technical Designer for pattern making and adjustments Portfolios: shows their experience and pattern knowledge, examples of previous relevant work, speaks to the complexity of their pattern design work Must Have: 5+ YOE as a Technical designer in pattern making or adjusting patterns, can start from scratch or adjust existing patterns for women's athletic wear Role is potentially athlete facing, can do functional work and be representative the brand Knowledge of garment construction for knits - knowledge of wovens could work as well, but knits is preferred Nice to Have: Performance wear experience Outerwear experience, dresses and skirts PDM, PCX, PLM, Web based to add comments on changes - record keeping tools

Software development experience in one or more general‑purpose programming languages such as Golang or Java Knowledge of computer science fundamentals such as object‑oriented design, algorithm design, data structures, problem solving, and complexity analysis Experience with distributed, multi‑tiered systems, caching, and relational databases Effectively articulate technical challenges and solutions Ability to communicate effectively at all levels internally-software engineers, managers, cross‑functional teams, and across a variety of formats such as technical design and external‑facing presentations Sets the bar for operational excellence and drives improvements in customer SLAs and system KPIs Experience & Qualifications 6 months - 2 years of professional work experience in Golang (GO) and/or Java Experience with distributed systems, caching mechanisms (e.g., Redis, Memcached), and relational databases Experience in building backend applications and translating requirements into precise low‑level designs (LLD) Experience in the gaming industry is preferred, but we also welcome those with a passion for working on services that power games Proficient in working with cloud providers such as AWS, Azure, or GCP Bachelor's degree in Computer Science or a technical field of study, or equivalent industry experience Join Skillz and Let's Redefine the Boundaries of Gaming! Together, we'll create a world where skill, passion, and innovation thrive. Join our team and be part of the journey. We look forward to having you on board! Skillz embraces diversity and is proud to be an equal‑opportunity employer. As part of our commitment to diversifying our workforce, we do not discriminate on the basis of age, race, sex, gender, gender identity, color, religion, national origin, sexual orientation, marital status, citizenship, veteran status, or disability status, and we operate in compliance with the San Francisco Fair Chance Ordinance. #J-18808-Ljbffr

Why Join Us Yotta's huge fanbase has helped turn us into a globally ranked game developer with offices worldwide. Despite our success, at heart we are still players trying to create exciting and engaging, never-before-experienced games. That drive to make games that we want to play is what animates our well-resourced, ambitious, creative team members. Working together in a supportive, open workplace and taking cues from our gaming communities, we create products that entertain the world. Responsibilities We are looking for an experienced Cinematic Tech Designer to prototype and build high-end cinematic gameplay experiences. This role involves collaborating with level designers, cinematics director, and cinematics designers to design, prototype, and implement complex, AAA-quality cinematic gameplay sequences. The ideal candidate has a strong background in interactive and scripted cinematic experiences, with an emphasis on design and technical implementation within a game engine. Should be someone who can guide a project from start to finish, taking the sequence from rough design to finished, polished experience. Candidate should be able to work quickly, creating rapid prototypes to test and troubleshoot high-level design, before using blueprints or scripting to create the final version. We invite you to apply for this role if you are looking to start an exciting journey at a growing studio. What You'll Be Doing: Collaborate closely with level designers, cinematics designers, and cinematics director to design, prototype, and build AAA cinematic gameplay experiences; Ensure that design and implementation are done in a systemic and modular way that is able to be used by designers in other departments; Quickly produce and iterate prototypes based on project needs and feedback; Design and implement miscellaneous other gameplay systems as needed; Provide backend system support to ensure smooth integration and functionality; Optimize and debug systems to ensure a seamless player experience; \ Stay updated with industry trends and advancements in game design and technology. Qualifications We Expect You To Have: Professional experience working on tech design or tech art, and high-end cinematic gameplay experiences, for at least five years total; Tech-centric skill set with a passion for cinematics; The ability to quickly produce and iterate on prototypes; The ability to troubleshoot and debug complex systems, and to solve problems that arise on the border between cinematics and gameplay; Proficiency in blueprints and scripting languages; Strong communication and collaboration skills, with the ability to work effectively in a team environment; Passion for gaming and a deep understanding of what makes gameplay fun and engaging. Even Better If You Have: Experience working with Unreal Engine; Experience working on AAA game titles; Experience working on 3rd person ARPG style games; Love of film or high-end action gameplay sequences; Additional Information Hybrid role based in El Segundo (Monday, Wednesday & Thursday on-site); Current working hours: Monday - Friday, 11am - 8pm Pacific Time (including one-hour break) The estimated base pay range for this role is: 130-160k USD. Yotta is committed to building an inclusive environment where creative professionals from a multitude of diverse cultural backgrounds collaborate to inspire audiences and each other. We are passionately supportive of equality in all its forms and never discriminate on the basis of race, color, religion, sex, orientation, identity, national origin, handicap, or any other category protected by applicable federal and state law.

A leading technology company in San Francisco is seeking a Senior Product Manager, Technical to drive stability and performance for products within its music services. You will work across client experiences to enhance testing mechanisms, analyze crucial data, and orchestrate strategies for best-in-class audio quality. Join a vibrant team passionate about delivering seamless user experiences. Competitive salary and growth opportunities are offered. #J-18808-Ljbffr

Our client is currently seeking a Engineering & Maintenance Technician II for their CPG Manufacturing facility located near Salisbury NC. This is a 4-day work week, working 10-hour days Mon-Thurs. The Maintenance / Engineering Tech will work closely with the Maintenance Manager & Engineering Team to install, repair, and fabricate plant equipment along with monitoring the performance of plant equipment to revise & generate maintenance programs & schedules and make corrective actions. This is a newer, automated facility and the company offers a competitive salary & benefits that are 90% paid for & 3-4 weeks PTO to start. Interested Candidates should contact Lee Douglas @ ************ or email a current resume to ****************** This job will have the following responsibilities: Operate basic repair and maintenance equipment. Monitor the performance of manufacturing and packaging equipment and take corrective actions, such as repairs Promptly bring to the attention of Maintenance Manager or VP of any problems that may be beyond one's skill set. Assist as necessary with independent repair and maintenance contractors. Assist with equipment rebuilds, upgrades and installations Monitor and perform basic repairs and maintenance on the manufacturing, warehousing, and the office facilities Maintains safe and clean work environment by following current good manufacturing practices (cGMP), and standard operating procedures; complying with legal regulations; monitoring environment. Qualifications & Requirements: High School Diploma / Trade School Certifications Preferred 2+ Years of Manufacturing Experience - Food / Beverage / Personal Care Products / Consumer Packaged Good Preferred Ability to read, write and trouble shoot simple electrical wiring problems. Ability to perform minor level mechanical and electrical repairs to manufacturing equipment, packaging. equipment, packaging equipment, pumps, fans, facility mechanical systems etc. Ability to assist with equipment installation. #JDP

Provide product formulation support by accurately preparing laboratory beverages and concentrates. Maintain laboratory and sample inventory of ingredients and supplies. Maintain laboratory equipment. Implement and maintain storage studies. Submission of samples for analytical and sensory evaluation. Support Product Developers in conducting production runs, managing ingredient orders, handling, ensuring product meets specifications. Required Job Skills & Years of Experience for Each: Ability to flawlessly execute bench work, plan ahead for tech center runs, ability to communicate with several plant coordinators to ensure ingredient supply. Ability to proactively and positively interface with various analytical functions in order to assure timely execution of testing. Must be well organized, capture work details and learning and highlight any unexpected learning. Good communication skills (verbal and written), manage expectations of group support. Must be proactive, reliable and self-motivated. Essential Job Requirements: AS/BS in a scientific field with bench work experience. Outstanding team working skills, strong initiative. Ability to analyze and communicate implications of experimental results. Computer Skills Word, Excel, PowerPoint. Prior Beverage/Food experiences a real plus. Able to lift packages with ingredients and cases with products-up to 50 lbs

A leading sleep technology company in San Francisco is seeking a Senior iOS Software Engineer to enhance their mobile app. Candidates should have over 3 years developing high-quality iOS apps and expertise in Swift and SwiftUI. This position involves collaboration with various teams, conducting code reviews, and optimizing app performance. Join a fast-paced environment focused on innovating technology for better sleep and user health, while receiving equitable compensation and unique benefits including your own Pod. #J-18808-Ljbffr