Manufacturing Engineer jobs at Orchid Orthopedic Solutions - 635 jobs

About Pathway At Pathway we are shaking the foundations of artificial intelligence by introducing the world's first post-transformer model that adapts and thinks just like humans. Our breakthrough architecture outperforms Transformer and provides the enterprise with full visibility into how the model works. Combining the foundational model with the fastest data processing engine on the market, Pathway enables enterprises to move beyond incremental optimization and toward truly contextualized, experience-driven intelligence. We are trusted by organizations such as NATO, La Poste, and Formula 1 racing teams. Pathway is led by co-founder & CEO Zuzanna Stamirowska, a complexity scientist who created a team consisting of AI pioneers, including CTO Jan Chorowski who was the first person to apply Attention to speech and worked with Nobel laureate Geoff Hinton at Google Brain, as well as CSO Adrian Kosowski, a leading computer scientist and quantum physicist who obtained his PhD at the age of 20. The company is backed by leading investors and advisors, including Lukasz Kaiser, co-author of the Transformer (“the T” in ChatGPT) and a key researcher behind OpenAI's reasoning models. Pathway is headquartered in Palo Alto, California. The Opportunity This is an R&D position in attention-based models. We are currently searching for 1 or 2 R&D Engineers with a strong track record in machine learning models research. This is an extremely ambitious foundational project. There is a flexible GPU budget associated with this specific project, guaranteed to be in the 7-digit range minimum. You Will perform (distributed) model training. help improve/adapt model architectures based on experiment results. design new tasks and experiments. optionally: oversee activities of team members involved in data preparation. The results of your work will play a crucial role in the success of the project. Cover letter It's always a pleasure to say hi! If you could leave us 2-3 lines, we'd really appreciate that. You are expected to meet at least one of the following criteria: You have published at least one paper at NeurIPS, ICLR, or ICML - where you were the lead author or made significant conceptual & code contributions. You have significantly contributed to an LLM training effort which became newsworthy (topped a Huggingface benchmark, best in class model, etc.), preferably using multiple GPU's. You have spent at least 6 months working in a leading Machine Learning research center (e.g. at: Google Brain / Deepmind, Apple, Meta, Anthropic, Nvidia, MILA). You were an ICPC World Finalist, or an IOI, IMO, or IPhO medalist in High School. You Are A deep learning researcher, with a track record in Language Models and/or RL (candidates with a Vision or Robotics ML background are also welcome to apply). Interested in improving foundational architectures and creating new benchmarks. Experienced at hands-on experiments and model training (PyTorch, Jax, or Tensorflow). Have a good understanding of GPU architecture, memory design, and communication. Have a good understanding of graph algorithms. Have some familiarity with model monitoring, git, build systems, and CI/CD. Respectful of others Fluent in English Bonus Points Knowledge of approaches used in distributed training. Familiarity with Triton Successful track-record in algorithms & data science contests. Showing a code portfolio. Why You Should Apply Join an intellectually stimulating work environment. Be a pioneer: you get to work with a new type of "Live AI" challenges around long sequences and changing data. Be part of one of an early-stage AI startup that believes in impactful research and foundational changes. Type of contract: Full-time, permanent Preferable joining date: Immediate. The positions are open until filled - please apply immediately. Compensation: six-digit annual salary based on profile and location + Employee Stock Option Plan. Location: Remote work. Possibility to work or meet with other team members in one of our offices: Palo Alto, CA; Paris, France or Wroclaw, Poland. Candidates based anywhere in the EU, UK, United States, and Canada will be considered. If you meet our broad requirements but are missing some experience, don't hesitate to reach out to us. #J-18808-Ljbffr

A cutting-edge AI startup is seeking R&D Engineers for groundbreaking work in attention-based machine learning models. Candidates should have a strong research background and experience in model training using PyTorch or TensorFlow. This is a full-time remote position, offering competitive salary and stock options, with the potential to impact foundational AI developments. Join us to push the boundaries of AI technology and research. #J-18808-Ljbffr

A digital health company in San Francisco is seeking a Staff Engineer for the Brain Health team. This role involves leading technical development for innovative mental wellness solutions using AI, collaborating across teams to build comprehensive therapeutic experiences. The ideal candidate has extensive software engineering experience, particularly in AI platforms, and has a strong foundation in cloud environments. The role supports both remote and in-person work, fostering an environment that values employee engagement and innovation. #J-18808-Ljbffr

Looking for an opportunity to make an impact? At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business. Your greatest work is ahead! Leidos is seeking a talented Manufacturing Engineering Manager to lead the Manufacturing Engineering (ME) team in delivering exceptional results within our Mechanical Manufacturing Facility (MMF) in Huntsville, AL. This leader will oversee a diverse group of Manufacturing Engineers supporting CNC machined components, precision assemblies, tooling and fixture development, MBOM creation, Solumina MES plans, and documentation maturity across the shop. The ME Manager partners closely with the CNC Programming, Weld Engineering, Quality, Production, and Program teams to ensure fully aligned and efficient daily operations. The ideal candidate is a proactive, structured, and a strong communicator who excels in aerospace/defense manufacturing. They bring clarity and accountability to engineering workflows, strengthen cross‑functional alignment, and mature processes that improve production quality, cost, and delivery. If this sounds like the kind of environment where you can thrive, keep reading! Leidos Defense Systems provides innovative solutions across land, sea, air, space, and cyberspace missions. Our team is solving the world's toughest security challenges for customers with “can't fail” missions. Join us and help engineer the future. To explore and learn more, click here! Primary Responsibilities Lead, mentor, and develop a team of Manufacturing Engineers (intern to senior levels), ensuring strong execution, ownership, and cross‑training. Establish accountability, workload management accountability, and clear expectations for both daily support and long‑term initiatives. Build a culture of proactive communication, structured planning, and continuous improvement. Oversee creation and release of complete, accurate and manufacturable engineering packages, including MBOMs, MES process plans, work instructions, and tooling/fixturing requirements. Ensure consistent application of GD&T, manufacturability considerations, and process controls. Champion standardization and documentation maturity to support repeatability, quality, and operational efficiency. Partner closely with the CNC Programming Manager to ensure alignment on process planning, tooling requirements, and shop floor readiness. Collaborate with Weld Engineering, Production Control, Quality Engineering, Supply Chain, and Program Management to ensure manufacturability, schedule adherence, and technical clarity. Drive CI initiatives such as 5S, Lean, VSM, Kaizens, and CQI to improve safety, quality, cost, and delivery. Support RCCA efforts with structured problem‑solving methods, ensuring durable corrective actions and reduced repeat issues. Strengthen front‑end planning and engineering integration to support production readiness. Eliminate single points of failure by maturing documentation, cross‑training, and standard work across the ME organization. Support proposal development with accurate ME labor estimates, tooling/fixture scope, and manufacturability inputs. Manage team schedules, workloads, priorities, and stakeholder expectations. Basic Qualifications Bachelor's degree in Mechanical, Manufacturing, Industrial Engineering or related field. Minimum of 5+ years manufacturing engineering experience, including 3+ years in a formal leadership, supervisory, or technical team‑lead role. Strong technical understanding of machining, assemblies, tooling/fixture development, and process planning. Proven ability to implement and mature standard engineering processes and documentation. Excellent communication, leadership, and problem‑solving skills. Reside in or be willing to relocate to North Alabama. Must be a U.S. citizen and meet the eligibility requirements to obtain and maintain a Secret clearance. Preferred Qualifications Experience in aerospace/defense manufacturing. Knowledge of Lean, Six Sigma, PFMEA, or CI methodologies. Working knowledge of ISO/AS9100 quality systems. Experience with Solumina, Costpoint, Solidworks, and Windchill EPLM. Strong cross‑functional experience with machining, welding support, production, and quality organizations. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. Original Posting December 11, 2025. For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range Pay Range $92,300 - $166,850. The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit *************** Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ************************************ Securing Your Data Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment‑related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment‑related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at *****************************. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws. #J-18808-Ljbffr

Mentor Technical Group (MTG) provides a comprehensive portfolio of technical support and solutions for the FDA-regulated industry. As a world leader in life science engineering and technical solutions, MTG has the knowledge and experience to ensure compliance with pharmaceutical, biotechnology, and medical device safety and efficacy guidelines. With offices in Caguas, PR, Boston, MA & San Francisco, CA and we serve life sciences clients in six global markets: United States, Puerto Rico, Dominican Republic, Mexico, Germany, Canada, and South America. Responsibilities Engineering Experience in Medical Device Industry Problem Solving Knowledge (Yellow or Green Belt knowledge) Responsibilities may include the following and other duties may be assigned. Designs manufacturing processes, procedures and production layouts for assemblies, equipment installation, processing, machining and material handling. Designs arrangement of machines within plant facilities to ensure most efficient and productive layout. Designs sequence of operations and specifies procedures for the fabrication of tools and equipment and other functions that affect product performance. Adapts machine or equipment design to factory and production conditions. May incorporate inspection and test requirements into the production plan. Inspects performance of machinery, equipment, and tools to verify their efficiency, and investigates and initiates corrective action of problems and deficiencies to ensure product quality. Develops manufacturing processes that are applicable to statistical process control, and may develop those techniques. Provides guidance to engineering regarding design concepts and specification requirements to best utilize equipment and manufacturing techniques. Ensures processes and procedures are in compliance with regulations. Qualifications Requirements/Knowledge/Education/Skills BBA in Engineering Knowledge in CSV Problem Solving Knowledge (Yellow or Green Belt knowledge) Mentor Technical Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, protected veteran status, disability status, or any other characteristic protected by law. #J-18808-Ljbffr

A leading technical solutions provider is seeking an engineer specialized in the medical device industry. The role involves designing manufacturing processes and ensuring compliance with safety regulations. Candidates should have a BBA in Engineering, knowledge in CSV, and problem-solving skills (Yellow or Green Belt). The position offers an opportunity to work with innovative technologies in a dynamic environment located in Caguas, Puerto Rico. #J-18808-Ljbffr

A leading defense contractor is seeking a Manufacturing Engineering Manager to oversee the team in Huntsville, AL. This role involves mentoring engineers, ensuring production quality, and leading continuous improvement initiatives. The ideal candidate has significant experience in manufacturing engineering, strong leadership skills, and is a U.S. citizen eligible for a Secret clearance. If you're looking to impact aerospace and defense manufacturing, this opportunity is for you. #J-18808-Ljbffr

A leading biotechnology organization seeks a Staff Application Engineer to drive architecture and systems design for data-driven cloud applications. The candidate will deliver high-impact solutions, mentor engineers, and champion operational excellence. Ideal for those with 7+ years in scalable tech and frontend/backend expertise. The role offers a competitive salary range of $170,775 to $284,625, plus bonuses and comprehensive benefits. #J-18808-Ljbffr

About the Role The Staff Application Engineer (Individual Contributor) is a highly experienced technical leader who delivers high-impact engineering outcomes across multiple teams and products without formal people management responsibilities. This role takes ambiguous, cross-functional problems from concept to scalable solutions; drives architecture and systems design that meet Onyx's standards for security, reliability, and performance; raises the quality bar for engineering excellence; and mentors engineers to level up their technical and operational capabilities. Key Responsibilities Lead architecture and systems design for full-stack, data-driven, loosely coupled cloud applications; make pragmatic trade-offs that balance speed, quality, and long-term stability. Take poorly defined, high‑ambiguity problems and drive them to a clear specification and execution plan; deliver solutions with cross‑organizational impact and value. Own end‑to‑end delivery of large, strategic engineering initiatives, often crossing collective boundaries; ensure alignment to agreed target architectures and standards. Write high‑quality, well‑tested code and documentation; produce proposals, runbooks, and operational playbooks that enable clarity, maintenance, and scaling. Champion operational excellence: design for reliability and security, implement comprehensive observability (metrics, logs, traces), and ensure robust alerting and SLOs. Operate and support production systems: participate in on‑call, lead incident resolution when needed, perform root‑cause analysis, and drive durable follow‑ups that reduce risk. Proactively refactor and simplify complex systems; repay technical debt with intent and measurable outcomes; improve performance, scalability, and cost efficiency. Develop APIs (REST/GraphQL/gRPC) and integration contracts that are resilient, secure, and well documented; advocate for consistent patterns across teams. Collaborate closely with product, design, data science, compliance/risk, and platform teams to align architectural decisions with user needs and organizational strategy. Mentor and sponsor engineers across teams (including senior engineers): raise coding standards, guide design choices, and help others navigate trade‑offs and delivery. Elevate engineering practices across Onyx: standard‑bearer for code reviews, test automation, CI/CD, accessibility, performance, and security‑first design. Use data to inform decisions; introduce monitoring where needed to improve product and operational outcomes; communicate risk clearly to non‑technical stakeholders. Stay current with relevant technologies (cloud‑native services, data platforms, front‑end frameworks); bring strategic insights that shape area‑level technology direction. Contribute to cross‑team initiatives that improve ways of working, incident management, support processes, and the overall quality bar for Onyx Application Engineering. Basic Qualifications Bachelor's degree in computer science or related field, or equivalent experience. 7+ years of experience delivering complex, production‑grade, cloud applications at scale. Experience with backend language and ecosystem (e.g., Python, Java, Scala, JavaScript/Node.js), including documentation, testing, observability, and operations. Proficiency in front‑end technologies: JavaScript/TypeScript with React.js, Angular, or similar frameworks. Experience designing and building APIs (REST/GraphQL/gRPC); solid understanding of integration patterns and interoperability. Cloud experience developing and deploying in environments like Google Cloud (preferred), AWS, or Azure; hands‑on with cloud‑native services and infrastructure‑as‑code patterns. Experience with authentication and authorization mechanisms (e.g., OAuth2, OIDC); security‑first mindset throughout the SDLC. Experience with modern SDLC and DevOps tooling: git/GitHub, CI/CD pipelines, automated testing, containerization/orchestration, metrics/monitoring (e.g., Prometheus, Grafana, OpenTelemetry). Experience in agile software development and common environments such as Jira and Confluence. Preferred Qualifications Master's degree or higher in Computer Science or related field. Experience leading large, strategic, complex engineering projects across multiple teams or collectives. Knowledge of database modelling, relational and non‑relational data concepts, and SQL; performance tuning and data lifecycle management at scale. Experience with data visualization frameworks (e.g., D3.js, Plotly, Matplotlib) and building scientific data experiences. Evidence of embedding operational excellence (runbooks, on‑call discipline, SLOs, post‑incident learning) across teams. Familiarity with regulated environments and collaboration with compliance/security functions. Demonstrated ability to lead architectural designs for complex systems, drive cross‑team solutions, and deliver measurable improvements in reliability, performance, and scalability. Proven ability to debug and resolve complex production issues under pressure; leads incident resolution and drives durable prevention. Excellent communication skills (verbal and written); can articulate technical risk and decisions to technical and non‑technical stakeholders; collaborates effectively across disciplines. Track record of mentoring engineers and elevating team standards and ways of working. Compensation & Benefits The annual base salary for new hires in this position ranges $170,775 to $284,625 based on location. This role offers an annual bonus, eligibility to participate in our share‑based long‑term incentive program, health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. Why GSK Uniting science, technology and talent to get ahead of disease together. Equal Opportunity Employer Statement GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. #J-18808-Ljbffr

Nimble is a frontier robotics and AI company building the next era of autonomous logistics. We design, manufacture, and deploy intelligent robots that enable fast, efficient, and sustainable commerce at global scale. Our team is building generalized robot intelligence and developing the world's first generalist super-humanoid robots capable of performing all core warehouse workflows with superhuman performance. We recently closed a $106M Series C at a $1B valuation, and we are continuing to grow our world-class team. Our long-term vision is to create the Autonomous Supply Chain-reinventing how goods move through factories, warehouses, and last-mile distribution using next-generation intelligent robotic systems. Founded out of Stanford and Carnegie Mellon's top AI labs and backed by the world's most prestigious investors, Nimble's board includes iconic leaders in AI and robotics such as Marc Raibert (Founder of Boston Dynamics), Fei-Fei Li (Former Chief Scientist of AI at Google, Director of Stanford's AI lab), and Sebastian Thrun (Waymo, Founder of Google X, Kitty Hawk, and Udacity). Join us and leave your mark on the future of robotics, AI, and global commerce. Link: Introducing Nimble - Intelligent Fulfillment Robots at Scale Why Join Nimble? At Nimble, we are committed to building legendary products, a legendary team, and a legendary legacy. Join us and become part of an ambitious, humble, and resourceful culture where your work will leave a lasting impact on the future of robotics and commerce. Nimble's Core Values Be relentlessly resourceful - Challenge conventions and overcome constraints. Be legendary - Pursue excellence and craft work that inspires. Be humble - Prioritize growth, learning, and the mission over ego. Be dependable - Take ownership and deliver with integrity. Role Summary We are seeking a senior, technically savvy Simulation Validation Engineer to bridge the gap between our operational needs and the simulation platform. This is a critical technical role that uses the robotic fleet simulator as a tool for release assurance, issue triage, and strategic operational guidance. Key Responsibilities Requirement Management: Serve as the primary liaison to Operations and System Integration teams, understanding and curating complex operational and integration needs and translating them into clear, actionable robot fleet simulator requirements. Development Partnership: Collaborate with the Simulator Development Engineer to define and document the simulator development requirement document. Release Assurance & Quality Gate: Analyze simulator results and validate outputs from nightly simulation runs to confidently approve or block fleet control and robot software releases. Issue Resolution & Triage: Utilize the simulator as the primary tool to triage and root‑cause field issues reported from the Warehouse, driving necessary fleet SW, integration, and Robot SW changes based on analysis and findings. Operational Alignment & Guidance: Work in lockstep with the operations team to minimize the discrepancy (sim‑to‑real gap) between simulation results and actual warehouse operations, ensuring the simulator is a reliable forecasting tool. Strategic Volume Goal: Guide and support operations in configuration and setup changes for the warehouse to achieve and sustain the package handling volume goal. Qualifications Bachelors or masters in computer science or electrical engineering, or equivalent experience. 5+ years of experience in system validation, operations research, industrial engineering, or complex system modeling/simulation, preferably in robotics or automation. Proven ability to define and manage complex system requirements, analyze large datasets, and use simulation outputs to drive critical business decisions. Exceptional communication and cross‑functional collaboration skills, with experience working directly with engineering, operations, and product teams. A strong, data‑driven problem‑solver with a proven track record of using analysis to influence high‑stakes operational and engineering changes. $180,000 - $225,000 a year The above range is the base salary range. This position will also provide generous equity. Culture We embrace challenges and strive to make the impossible possible each day. We're not in this to do what's easy or to be mediocre. We want to create something legendary and leave our mark on the world. We're ambitious, we're gritty, we're humble and we're relentlessly resourceful in pursuit of our goals. If this sounds like you then you might be a great fit! Press Link: Nimble Closes $106 Million Series C Funding Round, Scales Fully Autonomous Fulfillment with FedEx Link: FedEx Announces Expansion of FedEx Fulfillment With Nimble Alliance Equal Opportunity Statement Nimble Robotics, Inc. is an equal opportunity employer. We make all employment decisions based solely on merit. We provide equal employment opportunity to all applicants and employees without discrimination on the basis of race, color, religion, national origin, ancestry, disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, sexual orientation, age, military or veteran status, or any other characteristic by applicable state, federal or local laws. Nimble's Benefits Paid Time Off Enjoy the time you need to travel, rejuvenate, and connect with friends and family. Health Insurance Nimble provides medical, dental, and vision insurance through several premier plans and options to support you and your family. Paid Parental Leave Enjoy paid bonding time following a birth. Commuter Benefits Take the stress out of commuting with access to fully‑paid parking spots. Referral Bonus Get a cash bonus for any friend or colleagues that you refer to us that we end up hiring. 401k Contribute towards a 401k for retirement planning. Equity Be an owner in Nimble through our equity program. #J-18808-Ljbffr

A healthier future. It's what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That's what makes us Roche. Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche's Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide. Opportunity At Roche\'s AI for Drug Discovery (AIDD) group (Prescient Design), we are revolutionizing drug discovery with cutting-edge machine learning techniques. We are seeking a highly motivated and skilled ML Infrastructure DevOps Engineer to join our growing team within Genentech Research and Early Development AI Drug Development (gRED AIDD). This role is crucial for building and maintaining the scalable and robust infrastructure that powers our machine learning initiatives. The ideal candidate will be proactive, user-facing, and possess a "get-it-done" attitude, while consistently adhering to corporate standards and best practices. Responsibilities Design, implement, and maintain scalable and reliable ML infrastructure on AWS. Automate deployment, monitoring, alerting, and operational tasks using tools like Terraform and Helm. Manage and optimize CI/CD pipelines and Git repositories for ML projects, ensuring efficient version control to support collaboration and deployment. Collaborate closely with ML engineers and data scientists to understand their infrastructure needs and provide solutions. Troubleshoot and resolve infrastructure-related issues in a timely manner. Implement and enforce security best practices for ML infrastructure. Document infrastructure designs, processes, and operational procedures. Contribute to initiatives independently as part of a team, delivering assigned outputs. Proactively identify issues and gaps, proposing ideas and suggestions for improvements. Who you are / Qualifications Proven experience in designing, deploying, and managing infrastructure on Amazon Web Services (AWS), including services such as EC2, S3, RDS, EKS, SageMaker, etc. Strong proficiency with Git and Git repository management. Hands-on experience with Terraform for infrastructure provisioning and management. Experience with Helm for deploying and managing applications on Kubernetes. Proficiency in scripting languages (e.g., Python, Bash) for automation. Excellent problem-solving skills and a strong ability to debug complex issues. Strong communication and interpersonal skills to effectively collaborate with cross-functional teams and user-facing interactions. Demonstrated ability to take initiative, anticipate needs, and drive projects to completion. Ability to thrive in a fast-paced environment and adapt to evolving requirements while adhering to corporate guidelines. Ability to write clean code with little syntax/convention feedback. Applies software engineering best practices (linting automation, unit testing, documentation, CI/CD). Familiarity with modern machine learning methods. Knowledge of and experience with high-performance computing, distributed systems, and cloud computing. Preferred Experience with MLOps platforms and tools. Familiarity with CI/CD pipelines for ML workflows. Knowledge of monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack) Relocation benefits are available for this job posting. The expected salary range for this position based on the primary location of California is $147,600 - $274,000. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below. Benefits Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company\'s policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws. If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants. #J-18808-Ljbffr

**Career-defining. Life-changing.**At iRhythm, you'll have the opportunity to grow your skills and your career while impacting the lives of people around the world. iRhythm is shaping a future where everyone, everywhere can access the best possible cardiac health solutions. Every day, we collaborate, create, and constantly reimagine what's possible. We think big and move fast, driven by our commitment to put patients first and improve lives. We need builders like you. Curious and innovative problem solvers looking for the chance to meaningfully shape the future of cardiac health, our company, and your career**About This Role:**iRhythm's Product Development team is seeking a highly skilled Senior Project Engineer I to join our Lifecycle (Sustaining) Engineering team. This role focuses on supporting existing products through their lifecycle, ensuring quality, compliance, and continuous improvement while maintaining business continuity. In this role, you will have the opportunity to lead cross-functional projects that keep released medical device products compliant, reliable, cost-effective, and continuously manufacturable. You'll play a pivotal role within iRhythm's Lifecycle Engineering (LCE) Center of Excellence, charting the course for the company's capabilities, and collaborating with cross-functional teams. This opportunity offers substantial career growth potential while positively impacting lives through design and technology.**What You Will Be Doing*** Lead (project & technical) lifecycle initiatives across a portfolio of released products to preserve quality, supply continuity, cost, and compliance; own charters, integrated plans, schedules, budgets, and risk registers.* Champion initiatives to reduce cost and improve delivery performance through design enhancements, process optimization, and supplier engagement.* Drive engineering changes through PLM, including requirements updates, BOM and drawing revisions (GD&T), tolerance analyses, and complete DHF/DMR impacts under design control.* Partner with supplier quality to review supplier changes and obsolescence, including technical assessments, qualifications/first article, PPAP (as applicable), alternate materials/components, and SCAR collaboration.* Partner with Operations to plan and execute line validations (IQ/OQ/PQ) and identify opportunities to improve yields, reduce scrap/cycle time, and stabilize processes using Lean/Six Sigma and evidence-based decision making.* Coordinate integration of PCBA, firmware, mechanical design, and test systems between product development and manufacturing* Coordinate across testing initiatives for system integration (SIT), UAT across manufacturing, cloud and enterprise platforms (E2E testing)* Maintain and update risk management files per ISO 14971 (pFMEA/dFMEA, hazard analyses) with inputs from post-market surveillance, complaints, and nonconformances.* Ensure regulatory and QMS compliance (21 CFR 820/ISO 13485), including change impact assessments for submissions, labeling/UDI implications, and support for audits/inspections.* Own clear communication and stakeholder alignment, providing status, metrics, and decisions to leadership; mentor junior engineers and reinforce Good Documentation Practices (GDP).**What We Want To See*** BS degree in Engineering (Mechanical, Biomedical, Electrical, or related technical field).* 5+ years of engineering experience in medical device manufacturing or sustaining engineering (Class II/III environment preferred).* Strong understanding of FDA QSR/QMSR, ISO 13485, ISO 14971, and design controls* Proven management of ECO/change control in PLM* Demonstrated validation and problem-solving capability: IQ/OQ/PQ, MSA, SPC/DOE; hands-on root cause (8D/DMAIC) and CAPA execution for product and process issues.* Demonstrated use of SQDC (Safety, Quality, Delivery, Cost) metrics to drive continuous improvement and operational excellence in lifecycle engineering activities a plus.* Knowledge of test fixture development, process validation, and manufacturing workflows* Ability to conceptualize and manage interactions between hardware, firmware, software, and mechanical components* Ability to navigate competing priorities and technical disagreements constructively.* MS office suite including Project/Smartsheet**Ways To Stand Out*** PMP (or formal project management training) and/or Agile exposure for cross-functional execution a plus.* Lean/Six Sigma certification (Green or Black Belt) a plus.* Tool proficiency: CAD (e.g., SolidWorks or equivalent)**Work Environment / Other Requirements*** Location: On-site (Cypress, CA - Orange County)* Up to 10% travel to iSF (San Francisco facility)**Location:**Orange CountyActual compensation may vary depending on job-related factors including knowledge, skills, experience, and work location.**Estimated Pay Range**$112,000.00 - $145,000.00As a part of our core values, we ensure an inclusive workforce. We welcome and celebrate people of all backgrounds, experiences, skills, and perspectives. iRhythm Technologies, Inc. is an Equal Opportunity Employer. We will consider for employment all qualified applicants with arrest and conviction records in accordance with all applicable laws.iRhythm provides reasonable accommodations for qualified individuals with disabilities in job application procedures, including those who may have any difficulty using our online system. If you need such an accommodation, you may contact us at ***********************About iRhythm Technologies** iRhythm is a leading digital healthcare company that creates trusted solutions that detect, predict, and prevent disease. Combining wearable biosensors and cloud-based data analytics with powerful proprietary algorithms, iRhythm distills data from millions of heartbeats into clinically actionable information. Through a relentless focus on patient care, iRhythm's vision is to deliver better data, better insights, and better health for all.**Make iRhythm your path forward. Zio, the heart monitor that changed the game.**There have been instances where individuals not associated with iRhythm have impersonated iRhythm employees pretending to be involved in the iRhythm recruiting process, or created postings for positions that do not exist. Please note that all open positions will always be shown here on the iRhythm Careers page, and all communications regarding the application, interview and hiring process will come from a @irhythmtech.com email address. Please check any communications to be sure they come directly from @irhythmtech.com email address. If you believe you have been the victim of an imposter or want to confirm that the person you are communicating with is legitimate, please contact *********************. Written offers of employment will be extended in a formal offer letter from an @irhythmtech.com email address **ONLY**.For more information, see and At iRhythm, you'll have the opportunity to grow your skills and your career while impacting the lives of people around the world. Together, we are reimagining the way cardiac arrhythmias are diagnosed. We need curious problem solvers like you. With opportunities remotely, at our office, in manufacturing, and in locations across the globe, this is your chance to meaningfully shape the future of cardiac health, our company, and your career.**Driven By Purpose** - Cardiac health touches the lives of people all around us. Providing life-changing healthcare solutions that impact patients around the world drives us to bring our best every single day.**Growth Means Opportunity** - We are growing rapidly. And with that growth comes a wealth of opportunities to learn and advance at iRhythm. The potential to deepen your impact, seek new opportunities, and advance your career is yours to pursue.**Build the Future** - We are a boundary-pushing organization that values innovative thinking and impacts healthcare at a #J-18808-Ljbffr

A leading digital health company is seeking a Staff Engineer for the Brain Health team to lead the technical architecture of innovative mental wellness solutions. You'll collaborate with a multidisciplinary team to develop therapeutic AI systems that improve mental health outcomes. The role requires expertise in software engineering, machine learning, and cloud technologies. Enjoy a hybrid work environment where you'll innovate while supporting members in achieving better mental health. #J-18808-Ljbffr

A technology company in Cupertino is looking for a Senior Camera Design Engineer to contribute to video product lines. Responsibilities include camera tuning and ISP image processing. The ideal candidate will have 5+ years of experience and an MS/BS degree in Computer Science or Engineering. Strong programming skills in Java and/or C/C++ are preferred. The role offers competitive salary and benefits including annual bonuses and health insurance. #J-18808-Ljbffr

### Exemption Status:United States of America (Exempt)### $132,323 - $186,576 - $240,828“Pay scale information is not necessarily reflective of actual compensation that may be earned, nor a promise of any specific pay for any selected candidate or employee, which is always dependent on actual experience, education, qualifications, and other factors. A full review of our comprehensive pay and benefits will be discussed at the offer stage with the selected candidate.”This position is not eligible for Sponsorship.MedImpact Healthcare Systems, Inc. is looking for extraordinary people to join our team!At MedImpact, we deliver leading edge pharmaceutical and technology related solutions that dramatically improve the value of health care. We provide superior outcomes to those we serve through innovative products, systems, and services that provide transparency and promote choice in decision making. Our vision is to set the standard in providing solutions that optimize satisfaction, service, cost, and quality in the healthcare industry. We are the premier Pharmacy Benefits Management solution!# **Job Description****Summary**: The Principal, Business Process Architecture and Delivery will develop and implement initiatives to make our PBM and Software as a Service (SaaS) offerings market leading with an emphasis on claims and clinical processes and systems. You will lead project teams and partner with business and operations leaders, clinicians, technical partners and dedicated project leaders to identify and design operational improvements, efficiencies and best practices within prioritized work streams to improve PBM and SaaS offerings, facilitate PBM integration and to optimize operational and clinical practices. In this role you will lead initiatives to shape the future of the organization. While addressing immediate business needs, you will create and implement improvements to claims, clinical and operational practices supported by technology in line with strategic goals.**Essential Duties and Responsibilities** include the following. Additional duties may be assigned.* Develop and maintain a deep understanding of the core business and clinical processes by working with business and operations leaders, clinicians, analysts and enterprise architects to build and maintain business capability models and value streams.* Be a strong influencer and change agent to implement improvements to technology and business and operating models to improve service, quality and efficiency of the products and services we offer.* Communicate both internally and externally the competitive advantages of our claims and clinical platforms and improvement roadmaps in the PBM and SaaS marketplaces.* Evaluate and quantify the health and maturity of business capabilities across the enterprise* Facilitate discussions with operations, clinical, technical and business leaders to identify current and future priorities that inform the improvement plan or roadmap* Collaborate with operations, clinical, technical and business leaders and project managers to develop improvement strategies tied to key business performance metrics and translate these strategies and technology objectives into an actionable roadmap* Leveraging Agile methodology, collaborate with the technology leaders to translate optimized operational, clinical and business practices into clear business requirements for technology implementation.* Participate in the Technology roadmap reviews to evaluate and approve technology deliverables that align with the strategic goals of the projects.* Organize plans and partner with business, technical, clinical and operational leaders to implement changes to business processes including launches of new technologies* Mentor others and help drive the maturity of the enterprise business process architecture practice**Supervisory Responsibilities** Manages assigned staff in the segment area. Responsible for the overall direction, coordination, and evaluation of the unit. Carries out supervisory responsibilities in accordance with the organization's policies and applicable laws. Responsibilities include interviewing, hiring, and training employees; planning, assigning, and directing work; appraising performance; rewarding and disciplining employees; addressing complaints and resolving problems. Supports and enforces all company policies and procedures in a fair and consistent manner, taking corrective action whenever necessary.**Client Responsibilities**This is an internal and external client facing position that requires excellent customer service skills andinterpersonal communication skills (listening/verbal/written). One must be able to manage difficult oremotional client situations; respond promptly to client needs; solicit client feedback to improve service; and ensure client commitments are met in a timely manner.**Qualifications**To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.**Education and/or Experience** Bachelor's or Doctorate Degree in Pharmacy or Bachelor's Degree in Business, Operations, Engineering or Information Services or equivalent combination of education and experience. 10+ years of experience in PBM, managed healthcare, insurance or consulting to these organizations required along with 8 years of SME in respective areas. 4+ years supervisory experience. Experience with pharmacy benefit management software. SaaS experience highly desirable.**Computer Skills*** Proficient with MS Suite (Word, Excel, Visio, Outlook, Project) and SmartSheets to create data strategy roadmaps, manage priorities and share vision for organization growth.* Experience with system modernization, data conversion and integration of operating platforms* Experience in creating business process flow and business requirements documentation that feed software architecture and system design documentation* Experience delivering SaaS products and services* Experience in healthcare industry is a plus.* Experience in data science, machine learning and AI is a plus.**Certificates, Licenses, Registrations**None required**Other Skills and Abilities** * Sound knowledge of industry standard best practices and innovations in the realm of data platform* Extensive knowledge of strategy setting, program requirements, product development and project management methodologies* Demonstrated analytical and logical reasoning* Adept in problem solving and change management* Demonstrated ability to be client focused, responsive, flexible, and positive* Ability to work effectively with external partners/vendors to implement new solutions.* Proven ability to work as a team player and collaborate effectively with peers* Excellent time management skills and ensure deadlines are met.* Demonstrated ability to influence others in meeting enterprise goals.* Excellent organizational and communication skills (both written and verbal).* Experience working with agile methodology is a plus.**Reasoning Ability**Ability to apply industry best practices in local solution designs. Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists. Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form.**Mathematical Skills**Ability to work with mathematical concepts such as probability and statistical inference, and fundamentals of plane and solid geometry and trigonometry. Ability to apply concepts such as fractions, percentages, #J-18808-Ljbffr

We advance science so that we all have more time with the people we love. A healthier future. It's what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That's what makes us Roche. Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche's Research and Early Development organizations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximizing these opportunities. The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide. Within the CoE organization, the Data and Digital Catalyst (DDC) organization drives the modernization of our computational and data ecosystems and integration of digital technologies across Research and Early Development to enable our stakeholders, power data-driven science and accelerate decision-making. The Engineering - AI Enablement group within DDC is accountable for enabling AI across the board with our scientific and computational partners based on their goals. We help embed our AI strategy across our research organizations by providing employees with the tools and support needed to adopt AI into our daily work-helping us work smarter and enhancing our day-to-day work. We also build and deploy AI based solutions that reshape and transform business processes in order to unlock value at scale and optimise workflows. We also work on scaling up model training and inference, evaluating the quality of AI/ML models and output, and building impactful applications which accelerate the scientists doing the critical work of drug discovery and development. Partnering with colleagues to build, deploy and evolve a modern tech stack and utilities to enable our AI/ML and agentic efforts will be a key foundation to our success. Our aim is for everyone who can benefit from AI/ML to be able to leverage that utility where and when they need it, from data analysis to literature search to documentation writing. We are aiming for AI/ML to be an everyday utility. The team is cross-functional, impact driven, independent, and constantly evolving to meet the scientific needs. The Opportunity As a machine learning engineer in AI Enablement, you will be working closely with folks that span the gamut from Computational Scientists, Research Scientists, AI/ML experts, Product leaders, DevOps, and everyone in between. You\'ll build, own, and constantly improve scalable AI/ML based systems that unlock the potential of our diverse scientific data, accelerating the discovery and development of life-changing treatments for patients. #J-18808-Ljbffr

Who We Are Tonal is the world's first all in one home gym with a simply stunning design. It has completely revolutionized the fitness journey, with adaptive weight and coaching cues powered by advanced AI technology. We've united a diverse team of experts and decades of research to reinvent strength training, making it more efficient, more effective, and more engaging. With this in mind, we want to bring that same innovative approach to the workplace. At Tonal, we continue our shift of emphasis by growing our instrumental team. We collectively weave our knowledge and creativity, as we redefine the future of fitness, and Power Progress for our members. Overview Tonal is looking for an AI Engineer to help expand Tonal's intelligence across movements, training modalities, and member goals. You'll be joining a high impact team at the intersection of machine learning, biomechanics, and product engineering. You will be responsible for building intelligent systems that adapt workouts, enhance coaching, and personalize progression using the largest strength training dataset in the world. With millions of workouts collected across diverse users and enriched by data from cameras, cable sensors, and external trackers, Tonal has a one of a kind platform for real world AI. You will help transform this data into production grade models and systems that deliver real time insights, predictions, and feedback to our members. What You Will Do Design, implement, and optimize machine learning training pipelines and model serving infrastructure for real time applications Develop algorithms and ML models that enable personalized training, adaptive coaching, and performance prediction Fine tune and evaluate transformer based or self supervised learning models using Tonal's multimodal dataset Build data driven systems that measure training effectiveness, effort, and progression beyond traditional weight based metrics Prototype, train, and deploy ML models that run efficiently at scale or on device Collaborate cross functionally with Exercise Science, Product, and Software teams to deliver intelligent features that improve the member experience Contribute to the development of automated tools for experimentation, model validation, and continuous retraining Write high quality, maintainable Python code and work closely with backend engineers to integrate models into Tonal's production systems Mentor teammates and help shape Tonal's growing AI and ML best practices Who You Are A self driven AI or ML Engineer passionate about bringing applied machine learning into real world, user facing products 7 plus years of experience in software engineering or applied ML, or 5 plus with a Master's degree, or PhD with 3 plus years of experience Strong coding skills in Python and experience with frameworks such as PyTorch, TensorFlow, or JAX Experienced in ML training, evaluation, and deployment workflows such as Sagemaker, MLFlow, Databricks, or similar Deep understanding of time series modeling, human motion, or sensor based learning from devices such as force transducers, position encoders, IMUs, or cameras Familiar with MLOps best practices and scalable model training pipelines Strong communicator who can collaborate with scientists, product managers, and engineers Track record of delivering performant ML systems from prototype to production Extra Credit Experience fine tuning large transformer or multimodal models Experience deploying models to real time or edge environments such as on device inference Experience with GoLang, Kotlin or Flutter Experience with distributed training, mixed precision optimization, or model compression Interest in fitness, digital health, or intelligent training systems Background in biomechanics, kinesiology, or human performance analytics At Tonal, we believe that the unique and varied lived experiences of our teammates contribute to our overall strength. We don't just appreciate differences, we celebrate them, and we always seek people that represent a wide variety of backgrounds. We're dedicated to adding new perspectives to the team and designing employee experiences that contribute to your growth as much as you do to ours. If your experience aligns with what we're looking for (even if you don't check every single box), send us your application. We would love to hear from you! Tonal is committed to meeting the diverse needs of people with disabilities in a timely manner that is consistent with the principles of independence, dignity, integration, and equality of opportunity. Should you have any accommodation requests, please reach out to us via our confidential email, accessibility@tonal.com. All requests will be addressed and responded to in accordance with Tonal's Accessibility Policy and local legislation. #J-18808-Ljbffr

A leading AI company in San Francisco is looking for a Research Engineer (Machine Learning) to enhance their multi-modal AI capabilities. The role involves building and optimizing infrastructure for training and inference systems at scale. Ideal candidates will have experience with deep learning frameworks, large model training, and production-grade systems. The company offers comprehensive benefits including equity participation and flexible paid time off. #J-18808-Ljbffr

Aldea is a multi-modal foundational AI company reimagining the scaling laws of intelligence. We believe today's architectures create unnecessary bottlenecks for the evolution of software. Our mission is to build the next generation of foundational models that power a more expressive, contextual, and intelligent human-machine interface. The Role We are hiring a Research Engineer (Machine Learning) to build the infrastructure that powers Aldea's multi-modal AI research. You will design, optimize, and scale the training and inference systems that enable our research team to explore next-generation architectures across language, speech, and multi-modal domains. What You'll Do Build and maintain distributed training infrastructure supporting researchers across language and speech domains at a billion-plus-parameter scale. Optimize training and inference performance across the stack, delivering significant speedups through framework optimization, custom kernels, and system-level improvements. Design experiment infrastructure including automated evaluation pipelines, experiment tracking, and monitoring systems that enable rapid iteration. Scale infrastructure from single-node to multi-node distributed training and deploy production inference systems for real-time applications. Support researchers with fast turnaround on infrastructure issues and maintain high reliability across all systems. Collaborate with research scientists, data engineers, and leadership to define technical priorities and infrastructure roadmap. Minimum Qualifications Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience. 3+ years of experience with PyTorch and distributed training frameworks (DDP, FSDP, DeepSpeed, or similar). Experience training large-scale deep learning models at 1B+ parameters. Deep understanding of training optimization techniques including mixed precision, gradient checkpointing, and memory management. Proven ability to build production-grade ML infrastructure with high reliability. Track record of delivering significant performance optimizations in ML training or inference systems. Preferred Qualifications Experience with custom kernel development (CUDA, Triton) or GPU optimization. Hands-on experience with large-scale pretraining (100B+ tokens, ideally trillion+ scale). Experience optimizing inference for production: quantization, vLLM, TensorRT, or custom serving engines. Familiarity with speech/audio ML systems and real-time inference constraints. Experience building automated evaluation frameworks and experiment tracking systems. Knowledge of profiling tools and multi-node training across 8-32+ GPUs. Exposure to job orchestration systems (SLURM, Kubernetes, Ray). Master's or PhD in Computer Science, Machine Learning, or related field. Performance-based bonus aligned with research and model milestones Equity participation Comprehensive health, dental, and vision coverage Flexible paid time off Aldea is proud to be an equal‑opportunity employer. We are committed to building a diverse and inclusive culture that celebrates authenticity to win as one. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, citizenship or immigration status, or any other legally protected characteristics. Aldea uses E‑Verify to confirm employment eligibility in compliance with federal law. For more information please visit: ************************ Please note: We do not accept unsolicited resumes from recruiters or employment agencies and will not be responsible for any fees related to unsolicited resumes. #J-18808-Ljbffr