Biomedical engineer jobs near me

Columbus, OH Permanent I am working with a growing automation manufacturing company in the Columbus, OH area focused on producing high-quality products in a safety-first, team-oriented environment. They a offer stable work, opportunities to learn new skills, and career growth for motivated employees. Position Summary The Manufacturing Associate supports daily production by operating equipment, assembling and inspecting products, and ensuring work is performed safely, accurately, and efficiently. This role follows standard work instructions, quality requirements, and lean manufacturing practices to meet production goals. Essential Duties & Responsibilities Operate production equipment and tools according to standard operating procedures (SOPs) Assemble products/components, package finished goods, and label per specifications Perform quality checks (visual inspection, measurements, defect identification) and document results Load/unload materials, stage work-in-process (WIP), and maintain line flow Follow safety rules, wear required PPE, and report hazards or near-misses immediately Maintain a clean, organized workstation (5S) Accurately complete production paperwork, scans, and/or basic data entry Support changeovers, basic troubleshooting, and minor preventative maintenance as trained Work collaboratively with team leads, maintenance, and quality to resolve issues Meet productivity, quality, and attendance standards Qualifications (Required) Engineering Degree (or equivalent years experience) Ability to follow written and verbal instructions in English Basic math and measurement skills (ruler/caliper use a plus) Comfortable standing for extended periods and performing repetitive tasks Able to lift up to 35-50 lbs (adjust as needed), bend, reach, and push/pull carts Willingness to work overtime or weekends as needed Preferred Qualifications (Nice to Have) 1+ year manufacturing, warehouse, assembly, CNC, molding, or packaging experience Forklift/pallet jack experience (or willingness to train/certify) Familiarity with lean/5S, ISO, GMP, or cleanroom environments (as applicable) Experience with work orders, scanners, or ERP systems Work Environment Manufacturing floor with noise, moving equipment, and temperature variation PPE required (safety glasses, hearing protection, gloves, steel-toe shoes, etc.) May involve exposure to oils, coolants, adhesives, or dust depending on department

Job Title: Industrial/ Manufacturing Engineer Employment Type: Full-Time We are seeking a highly skilled Industrial/Manufacturing Engineer to support our production operations in Raymond, Ohio. This role focuses on optimizing manufacturing processes, developing tooling and fixture solutions, and supporting welding-related engineering activities across the plant. The ideal candidate will bring strong hands-on engineering expertise, a continuous-improvement mindset, and the ability to work collaboratively with cross-functional teams to enhance quality, safety, and efficiency on the shop floor. Key Responsibilities Process & Manufacturing Engineering Analyze, develop, and improve manufacturing processes to increase productivity, reduce waste, and enhance overall operational efficiency. Perform time studies, workflow analysis, and capacity planning to support production scaling and line balancing. Develop and maintain standardized work instructions, process documentation, and manufacturing guidelines. Tooling & Fixture Development Design, specify, and validate tooling, jigs, and fixtures required for assembly, fabrication, and welding operations. Collaborate with tool shops and suppliers for fabrication, trials, modifications, and implementation of fixtures. Conduct fixture capability studies and ensure tools meet quality, safety, and ergonomic requirements. Welding Engineering Support Provide technical expertise for welding processes (MIG/TIG/spot welding), weld sequence optimization, and weld quality improvement. Support welding equipment setup, parameter development, and troubleshooting. Work with quality teams on weld inspections, defect reduction initiatives, and compliance with welding standards. Continuous Improvement (CI) & Lean Initiatives Implement Lean Manufacturing and Six Sigma methodologies to drive continuous improvement. Lead Kaizen events, root-cause analysis, PFMEA reviews, and corrective action implementation. Identify automation opportunities and support integration of robotics, welding automation, or material-handling improvements. Cross-functional Collaboration Work closely with Production, Quality, Maintenance, and Safety teams to resolve issues and support daily operations. Provide engineering guidance during new product launches, process changes, and equipment commissioning. Support APQP activities, PPAP documentation, and process validation. Qualifications & Experience Required Bachelor's degree in Industrial Engineering, Manufacturing Engineering, Mechanical Engineering, or related field. 3-7 years of experience in a manufacturing environment, preferably automotive or heavy industrial. Hands-on experience with tooling, jigs, fixtures, and welding processes. Strong understanding of Lean Manufacturing principles, process flow, and industrial engineering fundamentals. Proficiency in CAD software (SolidWorks, AutoCAD, or similar). Familiarity with PFMEA, control plans, work instructions, and related engineering documentation. Preferred Experience with robotic welding systems or automated welding lines. Knowledge of GD&T and precision fixture design. Working experience with PLC-controlled equipment or automation integration. Certification in welding engineering or Six Sigma (Green Belt or above).

About the Role As a Systems Research Engineer specialized in GPU Programming, you will play a crucial role in developing and optimizing GPU-accelerated kernels and algorithms for ML/AI applications. Working closely with the modeling and algorithm team, you will co-design GPU kernels and model architecture to enhance the performance and efficiency of our AI systems. Collaborating with the hardware and software teams, you will contribute to the co-design of efficient GPU architectures and programming models, leveraging your expertise in GPU programming and parallel computing. Your research skills will be vital in staying up-to-date with the latest advancements in GPU programming techniques, ensuring that our AI infrastructure remains at the forefront of innovation. Requirements * Strong background in GPU programming and parallel computing, such as CUDA and/or Triton. * Knowledge of ML/AI applications and models * Knowledge of performance profiling and optimization tools for GPU programming * Excellent problem-solving and analytical skills * Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or equivalent practical experiences Responsibilities * Optimize and fine-tune GPU code to achieve better performance and scalability * Collaborate with cross-functional teams to integrate GPU-accelerated solutions into existing software systems * Stay up-to-date with the latest advancements in GPU programming techniques and technologies About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure. Compensation We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $160,000 - $230,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at *******************************

Building Open Superintelligence Infrastructure Prime Intellect is building the open superintelligence stack - from frontier agentic models to the infra that enables anyone to create, train, and deploy them. We aggregate and orchestrate global compute into a single control plane and pair it with the full rl post-training stack: environments, secure sandboxes, verifiable evals, and our async RL trainer. We enable researchers, startups and enterprises to run end-to-end reinforcement learning at frontier scale, adapting models to real tools, workflows, and deployment contexts. As a Research Engineer working on Distributed Training, you'll play a crucial role in shaping our technological direction, focusing on our decentralizing AI training stack. If you love scaling things and maximizing training efficiency, this role is for you. Responsibilities Lead and participate in novel research to build a massive scale, highly reliable and secure decentralized training orchestration solution Optimize the performance, cost, and resource utilization of AI workloads by leveraging the most recent advances for compute & memory optimization techniques. Contribute to the development of our open-source libraries and frameworks for distributed model training. Publish research in top-tier AI conferences such as ICML & NeurIPS. Distill highly technical project outcomes in layman approachable technical blogs to our customers and developers. Stay up-to-date with the latest advancements in AI/ML infrastructure and tools, decentralized training research and proactively identify opportunities to enhance our platform's capabilities and user experience. Requirements Strong background in AI/ML engineering, with extensive experience in designing and implementing end-to-end pipelines for training and deploying large-scale AI models. Deep expertise in distributed training techniques, frameworks (e.g., PyTorch Distributed, DeepSpeed, MosaicML's LLM Foundry), and tools (e.g. Ray) for optimizing the performance and scalability of AI workloads. Experience in large-scale model training incl. distributed training techniques such as data, tensor & pipeline parallelism Solid understanding of MLOps best practices, including model versioning, experiment tracking, and continuous integration/deployment (CI/CD) pipelines. Passion for advancing the state-of-the-art in decentralized AI model training and democratizing access to AI capabilities for researchers, developers, and businesses worldwide. If you're not familiar with these, but feel like that you can contribute to our mission and you're a high-energy person, get familiar with these resources (here, here and here) and please reach out! Benefits & Perks Competitive compensation, including equity incentives, aligning your success with the growth and impact of Prime Intellect. Flexible work arrangements, with the option to work remotely or in-person at our offices in San Francisco. Visa sponsorship and relocation assistance for international candidates. Quarterly team off-sites, hackathons, conferences and learning opportunities. Opportunity to work with a talented, hard-working and mission-driven team, united by a shared passion for leveraging technology to accelerate science and AI. We recently raised $15mm in funding (total of $20mm raised) led by Founders Fund, with participation from Menlo Ventures and prominent angels including Andrej Karpathy (Eureka AI, Tesla, OpenAI), Tri Dao (Chief Scientific Officer of Together AI), Dylan Patel (SemiAnalysis), Clem Delangue (Huggingface), Emad Mostaque (Stability AI) and many others. If you're excited about the opportunity to build the foundation for the future of decentralized AI and create a platform that empowers developers and researchers to push the boundaries of what's possible, we'd love to hear from you.

HUD (YC W25) is developing agentic evals for Computer Use Agents (CUAs) that browse the web. Our CUA Evals framework is the first comprehensive evaluation tool for CUAs. Our Mission: People don't actually know if AI agents are working. To make AI agents work in the real world, we need detailed evals for a huge range of tasks. We're backed by Y Combinator, and work closely with frontier AI labs to provide agent evaluation infrastructure at scale. About the role We're looking for a research engineer to help build out task configs and environments for evaluation datasets on HUD's CUA evaluation framework. Responsibilities Build out environments for HUD's CUA evaluation datasets, including evals for safety redteaming, general business tasks, long-horizon agentic tasks etc. Deliver custom CUA datasets and evaluation pipelines requested by clients Contribute to improving the HUD evaluation harness, depending on your interests, skills, and current organizational priorities. (Optional, but highly valued!) Experience Technical Skills Proficiency in Python, Docker, and Linux environments React experience for frontend development Production-level software development experience preferred Strong technical aptitude and demonstrated problem-solving ability Strong candidates may have: Startup experience in early-stage technology companies with ability to work independently in fast-paced environments Strong communication skills for remote collaboration across time zones Familiarity with current AI tools and LLM capabilities Understanding of safety and alignment considerations in AI systems Evidence of rapid learning and adaptability in technical environments (e.g. programming competitions) Have hands-on experience with or contributed to LLM evaluation frameworks (EleutherAI, Inspect, or similar) Built custom evaluation pipelines or datasets Worked with agentic or multimodal AI evaluation systems We prioritize technical aptitude and learning potential over years of experience. Motivated candidates are encouraged to apply even if they don't meet all criteria. Representative projects: Creating and solving challenging competitive programming problem-sets Curating large high-quality datasets, especially for research and evaluation of multimodal AI agents Designing complex, functional fullstack applications. Bonus points if they have users / adopters. We prioritise contributions that show quality and quantity, such as building out large, high-quality datasets. Imagine making about ~10 small puzzles in mock web environments a day. Team & Company Details Team Size: ~15 people currently, mostly full-time in-person, but some remote. Our team: Our team includes 4 international Olympiad medallists (IOI, ILO, IPhO), serial AI startup founders, and researchers with publications at ICLR, NeurIPS etc Company stage: We have received $2 million in seed funding, plus very strong demand and revenue growth beyond that. We are scaling profitably and fast to meet demand. Logistics Employment: Fulltime preferred, but willing to consider part-time/internship arrangements for exceptional candidates. Location: Fully remote-friendly. We already have several fulltime, 100% remote hires. But if you're in the San Francisco Bay Area or Singapore, we do have an office you can work together in. We do prefer applicants who can show up to meetings in Pacific Time (UTC-7:00/8:00) or China/Singapore Time (UTC +8:00). Visa Sponsorship: We provide support for relocation and visas for strong full-time candidates to USA or Singapore. For part-time/contract/internship arrangements, we'll work fully remote (which makes things simpler anyway). Timeline: Applications are rolling. The process should involve 1 initial call, 1 five-hour take-home assignment and 1 paid, weeklong work trial before final offer. Due to high volume, we may not actively respond to every application, but feel free to contact us at ***************** or elsewhere if we missed your application!

Meta is seeking a Research Engineer to join our Large Language Model (LLM) Research team. We conduct focused research and engineering to build state-of-the-art LLMs, which we often open-source, like our team's recent Llama 2. We are looking for strong engineers who have a background in generative AI and NLP, with experience in areas like language model evaluation; data processing for pre-training and fine-tuning; responsible LLMs; LLM alignment; reinforcement learning for language model tuning; efficient training and inference; and/or multilingual and multimodal modeling. **Required Skills:** Research Engineer, Language - Generative AI Responsibilities: 1. Design methods, tools, and infrastructure to push forward the state of the art in large language models 2. Define research goals informed by practical engineering concerns 3. Contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results 4. Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU) 5. Work with a large and globally distributed team 6. Contribute to publications and open-sourcing efforts **Minimum Qualifications:** Minimum Qualifications: 7. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 8. Research experience in machine learning, deep learning, and/or natural language processing 9. Experience with developing machine learning models at scale from inception to business impact 10. Programming experience in Python and hands-on experience with frameworks such as PyTorch 11. Exposure to architectural patterns of large scale software applications **Preferred Qualifications:** Preferred Qualifications: 12. A PhD in AI, computer science, data science, or related technical fields. 13. Master's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. 14. First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL). 15. Direct experience in generative AI and LLM research. **Public Compensation:** $85.10/hour to $251,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

SummaryResponds to service calls to evaluate, diagnose, and perform repair and planned maintenance (PM) on customers' basic biomedical equipment. Drives customer satisfaction through service excellence. This role sits on-site at our client in Schenectady, NY. Relocation is available. GE HealthCare is a leading global medical technology and digital solutions innovator. Our mission is to improve lives in the moments that matter. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world.Job Description Responsibilities: Evaluate complex, customer biomedical equipment issues, and implement appropriate repairs. Perform planned maintenance (PM), safety and environmental inspections, and maintain effective customer relations. Follow and guide others as needed regarding appropriate GE policies, procedures, hospital protocol, and complete necessary documentation. Effectively communicate and partner with teammates and colleagues. Establish and engage in proactive daily communications with customers, to ensure resolution and proper follow up, leading to customer satisfaction. Implement GE/customer facility contract, supporting business goals and objectives. Lead, instruct, and assist technicians on basic and complex repairs and resolution. Work as a member of local team to provide efficient service delivery to all accounts within assigned area. Share on-call/pager responsibility. Document all repair actions and submit reports/summaries according to schedule. Ensure proper care of spares, tools and test equipment, and ensure calibration. Maintain approved parts inventory. Manage vendors' service delivery processes in compliance with GE policies, as instructed. Enhance and maintain technical knowledge of current standards, codes, and procedures regarding safe and effective use of medical equipment through formal instruction. May perform role of Site Leader (e.g., direct activities of fellow Biomedical Technicians assigned to site, engage in a more interactive customer relationship, which may include Safety Committee or other participation, with regard to overall account activity). Meet Health and Human Services, Environment Health and Safety requirements, and/or all other applicable regulatory requirements Qualifications: Associate's or Bachelor's degree in Electrical Engineering, Biomedical Engineering, Mechanical Engineering, or related field and 2+ years of experience servicing medical equipment; OR equivalent military education and 2+ years of experience servicing electrical or mechanical equipment; OR High School Diploma/GED and 4+ years of experience servicing medical equipment. Analytical and communication skills with the ability to communicate technical issues to the customer in an easy to understand manner. The successful applicant must comply with GEHC's standard background check, including a post offer drug test. In addition, during employment, the employee must comply with all customer access policies, including but not limited to obtaining and/or providing proof of required immunizations, and additional drug tests or background checks (including a federal government background check if assigned to support a contract with the federal government). Special Physical Requirements: Candidate must be able to lift, carry, push, and pull up to 35 lbs. unassisted and frequently bend, stoop, twist, climb, crouch/squat, kneel/crawl, sit and stand for long periods of time. Candidate must also be able to reach at, above and below shoulder level, flex/extend neck and have good hand and finger dexterity. Specific vision abilities required by this job may include color, close vision, distance vision, peripheral vision and depth perception. Willingness to be available ""after hours"", or work a rotating On-Call schedule, including weekends, for critical issues and coverage, as necessary. Aware of and comply with the GEHC Quality Manual, Quality Management System, Quality Management Policy, Quality Goals, and applicable laws and regulations as they apply to this job type/position. Complete all planned Quality and Compliance training within the defined deadlines. Identify and report any and all customer quality or compliance concerns immediately to the Quality Organization #LI-KG1 #Onsite We will not sponsor individuals for employment visas, now or in the future, for this job opening. For U.S. based positions only, the pay range for this position is $58,000.00-$87,000.00 Annual. It is not typical for an individual to be hired at or near the top of the pay range and compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate may be influenced by a variety of factors including skills, qualifications, experience and location. In addition, this position may also be eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). GE HealthCare offers a competitive benefits package, including not but limited to medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, and tuition reimbursement. GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees. Relocation Assistance Provided: Yes Application Deadline: December 12, 2025

BHFT is a proprietary algorithmic trading firm. Our team manages the full trading cycle, from software development to creating and coding strategies and algorithms. Our trading operations cover key exchanges. The firm trades across a broad range of asset classes, including equities, equity derivatives, options, commodity futures, rates futures, etc. We employ a diverse and growing array of algorithmic trading strategies, utilizing both High-Frequency Trading (HFT) and Medium-Frequency Trading (MFT) approaches. Looking ahead, we are expanding into new markets and products. As a dynamic company, we continuously experiment with new markets, tools, and technologies. We've got a team of 200+ professionals, with a strong emphasis on technology-70% are technical specialists in development, infrastructure, testing, and analytics spheres. The remaining part of the team supports our business operations, such as Risks, Compliance, Legal, Operations and more. Our employees are located all around the world, from the United States to Hong Kong. Although we maintain office spaces, we currently operate as a 100% remote organization. At BHFT, clarity and transparency are at the core of our culture: we value open communication, ensuring that our processes are straightforward. Job Description We are seeking an experienced ML-driven Alpha Researcher / Feature Engineer who thrives at the intersection of fast-paced markets, data science, and collaboration. This role is ideal for someone who can move quickly from idea to execution-transforming complex datasets into predictive trading signals that capture short-term market opportunities. You'll work alongside a highly skilled modeling and execution team, ensuring that your research ideas don't stay in theory but turn into real, monetized strategies. Key Responsibilities: Perform rigorous, time-sensitive applied research across diverse data sources-including high-frequency market data and alternative datasets-to uncover systematic anomalies. Design and engineer predictive features that can be rapidly tested and deployed into production strategies. Lead and contribute to end-to-end signal research workflows: data sourcing, cleaning, feature engineering, signal generation, backtesting, and validation. Partner closely with modeling and execution teams to ensure signals are integrated, stress-tested, and monetized efficiently. Qualifications Bachelor, Master's or PhD in Applied Mathematics, Statistics, Physics, Engineering, Financial Engineering, Computer Science, or related field from a top-tier institution. 5+ years of quantitative research experience with systematic strategies in liquid markets (equities, futures, options); intraday trading expertise is strongly preferred. Proven ability to deliver alpha: signals that translate to real trading profits, not just backtest curves. Expert-level Python skills (Pandas, SciPy, NumPy, Polars); ability to write clean, efficient, and scalable code. Strong collaborative mindset: thrives in team environments, communicates clearly, and moves fast without compromising rigor. High sense of ownership, urgency, and accountability. Additional Information What we offer: Experience a modern international technology company without the burden of bureaucracy. Collaborate with industry-leading professionals, including former employees of Tower, DRW, Broadridge, Credit Suisse, and more. Enjoy excellent opportunities for professional growth and self-realization. Work remotely from anywhere in the world with a flexible schedule. Receive compensation for health insurance, sports activities, and non-professional training.

In this decade, the world will create Artificial General Intelligence. There will only be a small number of companies who will achieve this. Their ability to stack advantages and pull ahead will define the winners. These companies will move faster than anyone else. They will attract the world's most capable talent. They will be on the forefront of applied research, engineering, infrastructure and deployment at scale. They will continue to scale their training to larger & more capable models. They will be given the right to raise large amounts of capital along their journey to enable this. They will create powerful economic engines. They will obsess over the success of their users and customers. poolside exists to be this company - to build a world where AI will be the engine behind economically valuable work and scientific progress. View GDPR Policy ABOUT OUR TEAM You'll join a tight-knit group of engineers and researchers from leading labs and product companies (DeepMind, Palantir, GitHub, among others). The culture is low-ego and high-bar, organized around hard problems. It's a place to learn by building - side-by-side with people who care about craft, rigor, and impact - on challenges that matter and aren't found anywhere else. Very few companies get a seat at this table, and all the ingredients are in place to give us the right to win. Now we just need to execute. ABOUT THE ROLE As an FDRE, you'll be embedded with customers, figuring out how to build real agentic systems to solve hard problems. Hard problems aren't solved from an armchair; the right to solve them comes from experience, resilience, and a little scar tissue, earned by engaging with reality. This role gives you direct exposure to frontier AI R&D and a front-row seat to the most valuable problems and industries on the planet. You'll operate at the intersection of software engineering, applied AI and agent research, and product - designing and deploying high-reliability systems, while feeding signal back into our products and models. RESPONSIBILITIES FDREs work in small teams with the agility and autonomy of a startup, but with the experience and support of an established organization. Among other things, you will Own the mission end-to-end. Be the technical owner in the field, clarify goals, shape the plan, make the hard calls, and ship systems that move real metrics. Partner for impact. Work directly with operators and executives to scope what matters most, then turn it into production results. Build with research in the loop. Collaborate with AI R&D on prompts, tools, and model improvements; bring back field-signals that make the next model, and the platform, better. Turn wins into a flywheel. Convert patterns into playbooks, products, and libraries so that every deployment is faster, more powerful, and more reliable than the last. WHAT YOU'LL SEE IN THE FIELD These are the kinds of skills and technologies you'll likely use and develop over time. Strong experience in any is a plus, not a prerequisite. We look for spikes! Software engineering & platforms: Backend services at scale; distributed systems; data/feature pipelines; queues/caching; fault tolerance. Agentic/LLM systems: multi-agent systems; agent communication/delegation; evals; long-running, fault-tolerant agents; tools/prompt/program design; guardrails. Evaluation & experimentation: Designing evals; monitoring performance/drift; fundamentals of Data Science/ML; able to turn a hazy problem into a structured exploration. Cloud & ops: Kubernetes, Docker, IaC (Terraform/CDK), networking, secrets, observability (Grafana/Prometheus/Datadog), CI/CD. Model ops: Fine-tuning/RL; designing agent environments; managing inference. Enterprise delivery: Security/compliance, data governance, integration with legacy systems. SKILLS & EXPERIENCE Exceptional, high-agency, low-ego. You bias to action, collaborate well, and are motivated by impact and outcome. Learning-driven. You pick up new domains quickly, ask sharp questions, and turn are comfortable with ambiguity. Product-minded. You translate field pain into clean abstractions, docs, and tools others can use. Adventurer. You are eager and willing to travel and experience new things, and meet unforeseen challenges with creativity and resourcefulness. Excellent communicator. You express ideas clearly, listen actively, and build east rapport with customers and teammates alike. If you're unsure whether you check every box, you should still apply! Impact beats pedigree here. PROCESS Intro call with a member of the Forward Deployed team Technical Interview with a Member of Engineering Interview with (another) member of the Forward Deployed team People Interview with Beatriz, Head of People BENEFITS Fully remote work & flexible hours; 37 days/year of vacation & holidays; Health insurance allowance for you and dependents; Company-provided equipment; Wellbeing, always-be-learning and home office allowances; Frequent team get togethers in Paris; Great diverse & inclusive people-first culture.

**We are more than a health system. We are a belief system.** We believe wellness and sickness are both part of a lifelong partnership, and that everyone could use an expert guide. We work hard, care deeply and reach further to help people uncover their own power to be healthy. We inspire hope. We learn, grow, and achieve more - in our careers and in our communities. ** Summary:** Under minimal supervision, the BMET III provides expert-level experience in the repair, installation, calibration and maintenance of sophisticated medical devices and support systems used in the delivery of healthcare. Including life-support and analytic devices as assigned by the Supervisor. **Responsibilities And Duties:** 1. 50% Performs preventative maintenance PM and electrical safety tests of all types of clinical devices, including life-support, highly complex medical devices and sophisticated mission critical networks. 2. 30% Performs corrective maintenance and calibrations on complex medical equipment. Leads installation projects, monitor third party repairs and may assign routine repairs to subordinates to monitor their trouble shooting skills. 3. 5% : Conducts in-services and training to end users on the proper maintenance and operation of medical devices. 4. 5% : Maintain accurate documentation to comply with regulatory standards. 5. 5% : Provide operational leadership to personnel and could serve as a temporary Supervisor. 6. 5% : Makes recommendations for capital purchases 7. : 8. : 9. : ** COMPLETION OF WITH PERCENT **Minimum Qualifications:** Associate's Degree (Required) **Additional Job Description:** Field of Study: Biomedical Engineering technology or equivalent related military training Years of experience: 4-6 yrs. experience **SPECIALIZED KNOWLEDGE** Anatomy & Physiology, Extended knowledge in networking systems and complex healthcare delivery systems. Competent in using diagnostic software and test devices used in the calibration of complex medical devices. **DESIRED ATTRIBUTES** Bachelors Degree of Applied Science in Biomedical Engineering Technology or equivalent related military training. AAMI certified and vendor certified for Life- support devices. **Work Shift:** Day **Scheduled Weekly Hours :** 40 **Department** Clinical Engineering Join us! ... if your passion is to work in a caring environment ... if you believe that learning is a life-long process ... if you strive for excellence and want to be among the best in the healthcare industry Equal Employment Opportunity OhioHealth is an equal opportunity employer and fully supports and maintains compliance with all state, federal, and local regulations. OhioHealth does not discriminate against associates or applicants because of race, color, genetic information, religion, sex, sexual orientation, gender identity or expression, age, ancestry, national origin, veteran status, military status, pregnancy, disability, marital status, familial status, or other characteristics protected by law. Equal employment is extended to all person in all aspects of the associate-employer relationship including recruitment, hiring, training, promotion, transfer, compensation, discipline, reduction in staff, termination, assignment of benefits, and any other term or condition of employment

We are an MIT-born, venture-backed Silicon Valley startup building a real-life 'Jarvis'. An AI Copilot for design and manufacturing. Our goal is to utilize advanced AI, physics simulation, and computer graphics to reduce costs and improve engineering productivity across all steps of the design and manufacturing process. Responsibilities Design, develop, and maintain geometry processing and simulation algorithms for engineering applications. Build services for reading, processing, and writing 2D/3D engineering data. Develop rendering modules for generating 2D/3D visual assets. Curate and manage large-scale datasets for learning-based systems. Implement and optimize post-training workflows for machine learning models. Contribute to the development of domain-specific languages for engineering tasks. What we are looking for 5+ years of academic or industry experience in one or more of the following areas: Geometric Processing, Simulation, Optimization, Machine Learning, or Domain-Specific Languages. BSc or MSc in Computer Science, Engineering, or a related field. Proficient in writing clean, modular, and maintainable Python code. Experience with dataset creation and data pipeline development. Bonus Points PhD or MS with a focus in Computational Design, Simulation, or AI. Experience developing CAD/CAM/CAE software tools. Experience developing or fine-tuning large language models (LLMs), including post-training methods such as quantization, pruning, distillation, or reinforcement learning. Experience designing or implementing DSLs or compilers.

The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. Our interview process involves several technical interviews and we aim to complete them within 1 week. What You'll Do Work alongside machine learning researchers, engineers, and product managers to bring our AI Voices to their customers for a diverse range of use cases Deploy and operate the core ML inference workloads for our AI Voices serving pipeline Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of our deployed models Build tools to give us visibility into our bottlenecks and sources of instability and then design and implement solutions to address the highest priority issues An Ideal Candidate Should Have Experience shipping Python-based services Experience being responsible for the successful operation of a critical production service Experience with public cloud environments, GCP preferred Experience with Infrastructure such as Code, Docker, and containerized deployments. Preferred: Experience deploying high-availability applications on Kubernetes. Preferred: Experience deploying ML models to production What We Offer A dynamic environment where your contributions shape the company and its products A team that values innovation, intuition, and drive Autonomy, fostering focus and creativity The opportunity to have a significant impact in a revolutionary industry Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio - a rapidly evolving tech domain The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role You will deeply understand the research workflows of our Finetuning teams and automate the high-friction parts - turning days of manual experimentation into hours. You'll build the tools and infrastructure that enable researchers across the organization to develop, evaluate, and optimize reward signals for training our models. Yourscalable platforms will make it easy to experiment with different reward methodologies, assess their robustness, and iterate rapidly on improvements to help the rest of Anthropic train our reward models. This is a role for someone who wants to stay close to the science while having outsized leverage. You'll partner directly with researchers on the Rewards team and across the broader Fine-Tuning organization to understand what slows them down: running human data experiments before adding to preference models, debugging reward hacks, comparing rubric methodologies across domains. Then you'll build the systems that make those workflows 10x faster. When you have bandwidth, you'll contribute directly to research projects yourself. Your work will directly impact our ability to scale reward development across domains, from crafting and evaluating rubrics to understanding the effects of human feedback data to detecting and mitigating reward hacks. We're looking for someone who combines strong engineering fundamentals with research experience - someone who can scope ambiguous problems, ship quickly, and cares as much about the science as the systems. Note: For this role, we conduct all interviews in Python. Responsibilities Design and build infrastructure that enables researchers to rapidly iterate on reward signals, including tools for rubric development, human feedback data analysis, and reward robustness evaluation Develop systems for automated quality assessment of rewards, including detection of reward hacks and other pathologies Create tooling that allows researchers to easily compare different reward methodologies (preference models, rubrics, programmatic rewards) and understand their effects Build pipelines and workflows that reduce toil in reward development, from dataset preparation to evaluation to deployment Implement monitoring and observability systems to track reward signal quality and surface issues during training runs Collaborate with researchers to translate science requirements into platform capabilities Optimize existing systems for performance, reliability, and ease of use Contribute to the development of best practices and documentation for reward development workflows You may be a good fit if you Have prior research experience Are excited to work closely with researchers and translate ambiguous requirements into well-scoped engineering projects Have strong Python skills Have experience with ML workflows and data pipelines, and building related infrastructure/tooling/platforms Are comfortable working across the stack, ranging from data pipelines to experiment tracking to user-facing tooling Can balance building robust, maintainable systems with the need to move quickly in a research environment Are results-oriented, with a bias towards flexibility and impact Pick up slack, even if it goes outside your job description Care about the societal impacts of your work and are motivated by Anthropic's mission to develop safe AI Strong candidates may also have experience with Experience with ML research Building internal tooling and platforms for ML researchers Data quality assessment and pipeline optimization Experiment tracking, evaluation frameworks, or MLOps tooling Large-scale data processing (e.g., Spark, Hive, or similar) Kubernetes, distributed systems, or cloud infrastructure Familiarity with reinforcement learning or fine-tuning workflows Representative projects Building infrastructure that allows researchers to rapidly test new rubric designs against small models before scaling up Developing automated systems to detect reward hacks and surface problematic behaviors during training Creating tooling for comparing different grading methodologies and understanding their effects on model behavior Building a data quality flywheel that helps researchers identify problematic transcripts and feed improvements back into the system Developing dashboards and monitoring systems that give researchers visibility into reward signal quality across training runs Streamlining dataset preparation workflows to reduce latency and operational overhead The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation. Annual Salary:$315,000-$340,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

We help make autonomous technologies more efficient, safer, and accessible. Helm.ai builds AI software for autonomous driving and robotics. Our Deep Teaching™ methodology is uniquely data and capital efficient, allowing us to surpass traditional approaches. Our unsupervised learning software can train neural networks without the need for human annotation or simulation and is hardware-agnostic. We work with some of the world's largest automotive manufacturers and we've raised over $100M from Honda, Goodyear Ventures, Mando, and others to help us scale. Our team is made up of people with a diverse set of experiences in software and academia. We work together towards one common goal: to integrate the software you'll help us build into hundreds of millions of vehicles. You will: You will focus on research and development related to the optimization of ML models on GPU's or AI accelerators. You will use your judgment in complex scenarios and apply optimization techniques to a wide variety of technical problems. Specifically, you will: Research, prototype and evaluate state of the art model optimization techniques and algorithms Characterize neural network quality and performance based on research, experiment and performance data and profiling Incorporate optimizations and model development best practices into existing ML development lifecycle and workflow. Define the technical vision and roadmap for DL model optimizations Write technical reports indicating qualitative and quantitative results to colleagues and customers Develop, deploy and optimize deep learning (DL) models on various GPU and AI accelerator chipsets/platforms You have: Proficiency in ML model development and optimization techniques (e.g. numerical optimization, quantization, sparsity, pruning, architecture search and design), particularly on model deployment onto GPU's or AI accelerators Strong understanding of deep learning algorithms, software engineering and GPU-based computing Experience working with neural networks in Tensorflow and/or PyTorch Proven ability to thrive in fast-paced environment Ability to communicate complex technical concepts to colleagues and a variety of audience Introspection, thoughtfulness, and detail-orientation Proficiency in Python The following are a plus, but not required: Master's or Ph.D. in a related field and/or 5+ years of experience in a directly related field Computer vision experience We offer: Competitive health insurance options 401K plan management Free lunch and fully-stocked kitchen in our South Bay office Additional perks: monthly wellness stipend, office set up allowance, company retreats, and more to come as we scale The opportunity to work on one of the most interesting, impactful problems of the decade Helm.ai is proud to be an equal opportunity employer building a diverse and inclusive workforce. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Helm.ai are considered the property of Helm.ai and are not subject to payment of agency fees.

Job SummaryThe Alignment of Dynamical Cognitive Systems program seeks a Research Engineer to develop novel AI platforms addressing critical alignment challenges and practical LLM agents. Combining platform development with alignment research, this role requires expertise in agent-based systems and multi-objective optimization. You'll co-design and develop systems supporting safety research, internal tools, and community resources -- creating environments to shape multi-agent dynamics and implement cooperative AI architectures with robust alignment properties. You'll also build technical infrastructure to investigate experimental AI alignment and control approaches while collaborating with researchers to bring theoretical approaches into practice. This position offers the chance to develop foundational technologies essential for promoting safety as AI capabilities rapidly advance. About CARMAThe Center for AI Risk Management & Alignment (CARMA) works to help society navigate the complex and potentially catastrophic risks arising from increasingly powerful AI systems. Our mission is specifically to lower the risks to humanity and the biosphere from transformative AI.We focus on grounding AI risk management in rigorous analysis, developing policy frameworks that squarely address AGI, advancing technical safety approaches, and fostering global perspectives on durable safety. Through these complementary approaches, CARMA aims to provide critical support to society for managing the outsized risks from advanced AI before they materialize.CARMA is a fiscally-sponsored project of Social & Environmental Entrepreneurs, Inc., a 501(c)(3) nonprofit public benefit corporation. Responsibilities• Research and develop AI systems and platforms variously for: safety research, internal tooling, and safety community support• Design and implement architectures for agent execution environments and interaction platforms• Develop optimization algorithms for multi-objective and cooperative AI systems• Create mechanisms for conflict resolution and preference aggregation in multi-agent settings• Implement testing frameworks and example environments to validate theoretical approaches• Build middleware components that facilitate secure and efficient agent communication• Architect and develop reusable software components for AI alignment research• Document system architectures, APIs, and implementation details• Collaborate on technical publications and research presentations• Contribute to both practical implementations and theoretical research in AI alignment• Support the evaluation and refinement of research prototypes Required Qualifications• MS or PhD in Computer Science, AI, or related field (or equivalent experience)• Experience with one or preferrably more of: dynamic plan recognition, activity recognition, dynamic multicriteria decision making, multi-agent systems, or AI builder platforms• Strong programming skills in both Python and Java• Demonstrated ability to relatively independently drive technical projects from concept to implementation• Familiarity with techniques for AI alignment, control, safety, or related research areas• Experience developing middleware, frameworks, or platforms• Breadth of experience in machine learning and AI systems architecture• Literate in semi-formal semantics • Excellent communication skills and technical documentation abilities Preferred Qualifications• Publications (formal or informal) in AI alignment, AI safety, or related research areas• Familiarity with varied multi-objective optimization techniques• Experience with contextual pragmatics and/or constraint satisfaction problems• Developed novel multi-agent architectures• Experience with LLMs and integrating them into agent architectures• Experience with distributed systems and platform development• Knowledge of security and privacy methods for multi-party computation• Understanding of basic game theory and/or social choice theory concepts• Familiarity with metacognitive systems, metareasoning, or dynamical cognitive approaches• Demonstrable open source project contributions• Experience building systems that actively manage trade-offs between competing objectives CARMA/SEE is proud to be an Equal Opportunity Employer. We will not discriminate on the basis of race, ethnicity, sex, age, religion, gender reassignment, partnership status, maternity, or sexual orientation. We are, by policy and action, an inclusive organization and actively promote equal opportunities for all humans with the right mix of talent, knowledge, skills, attitude, and potential, so hiring is only based on individual merit for the job. Our organization operates through a fiscal sponsor whose infrastructure only supports persons authorized to work in the U.S. as employees. Candidates outside the U.S. would be engaged as independent contractors with project-focused responsibilities. Note that we are unable to sponsor visas at this time.

Waabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to “drive” safely in the real world, Waabi is bringing the promise of self-driving closer to commercialization than ever before. Waabi is backed by best-in-class investors across the technology, logistics and the Canadian innovation ecosystem. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: ************ The Motion Planning team delivers the core module within the autonomy stack that makes decisions and generates trajectories for our self-driving trucks. As a research engineer for Learnable Planner you will support integration of new AI technologies into our autonomy/planner stack enabling our launch of fully driverless autonomous trucks. You will contribute towards Waabi's vision of a single AI system that learns end-to-end and in a provably safe manner as well as our revolutionary high-fidelity, closed-loop simulator, Waabi World. You will...- Integrate cutting-edge ML models in production planning stack from development to validation, deployment, and monitoring- Develop necessary interfaces and pipelines in simulation for testing prototype or production planning models- Work closely with motion planning sub-teams and research scientists to improve our planner architecture and develop rich and novel representations that can facilitate end-to-end solutions- Champion engineering excellence, ensuring high-quality, well structured and tested code.- Stay up-to-date with the latest advancements in the field of artificial intelligence, machine learning, computer vision, and self-driving technologies, and apply insights from the literature.- Work with large datasets from various sources as well as Waabi World, our high-fidelity simulator.- Contribute to the publication of research findings in conferences as well as Waabi's blog. Qualifications:- MS/PhD in machine learning, computer science, engineering, or a related field. Exceptional Bachelor's students will also be considered.- Experience in ML-based or classical techniques for planning/decision making (e.g., imitation and reinforcement learning, optimization-based approaches, search methods, probabilistic reasoning).- Passion for taking research ideas and turning them into practical solutions for real-world applications.- Open-minded and collaborative team player with willingness to help others.- Solid understanding of computing fundamentals, including code efficiency.- Experience in deep learning frameworks such as PyTorch.- Proficiency in Python, Rust, C++ and/or CUDA. Bonus/nice to have:- Experience deploying ML/DL models to a production motion planning or related robotics stack.- Experience in iterating on a model including evaluation, introspection and fine-tuning.- Strong grasp of machine learning literature, including current trends and state-of-the-art techniques.- Comfortable with model compilation and exporting, lower level concepts like TensorRT, CUDA kernels.The US yearly salary range for this role is: $159,000 - $296,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

The Cleaning Validation Associate is responsible for assisting with the development of cleaning processes and cleaning validation activities for our clients. The position will support internal and external client teams with cleaning cycle development, cleaning validation, and continuous cleaning monitoring in cGMP facilities. The ideal candidate has a strong understanding of chemical engineering and a strong desire to learn cleaning validation including CIP, COP, and manual cleaning. The Role Support the assessment of client's cleaning validation documents to identify regulatory concerns including potential corrective actions in alignment with industry best practices. Support troubleshooting cleaning failures, development, and optimization of cleaning processes. Remains current with the cleaning processes and validation guidances. Research regulatory guidance and industry best practice documents related to a specific topic of concern Utilize technical writing skills to write, revise, and review cleaning related documents including Master Plans, Project Plans, Batch Records, Standard Operating Procedures, Forms, Protocols, Summary Reports, and Risk Assessments. Development of assessment concerns related to client's cleaning validation program and draft improvement plans to address concerns identified. Interact with team members and clients to create, review, and approve documentation per timeline. Plan and track project deliverables. This includes coordination with internal and external team members. Create, develop, edit, and maintain high-quality documentation following internal and client style guidelines, document standards, and templates, while ensuring that quality targets, timelines, and regulatory requirements are met. Manage and organize project documents Look for ways to continuously improve generated documentation Communicate effectively with team members and external vendors/clients Other duties as assigned by manager The Candidate Degree in Chemical Engineering, Engineering, Chemistry, Biochemistry, or other related fields Driven, hard-working, and determined to succeed Organized & efficient, with excellent time management skills Experience in cleaning validation within the pharmaceutical industry. Hands-on experience with the following systems: CIP systems, parts washers, manual cleaning is preferred. Working knowledge of cGMP requirements, ICH, FDA, and other pharmaceutical industry regulatory guidelines is highly desired. Experience with rinse and swab sampling techniques Strong technical skills to review, interpret, and make scientific conclusions and recommendations based on data Ability to understand and extract necessary information from technical documents Technical writing experience Excellent grammar and writing skills - Required Effectively work within a team environment and interface with peers, management, etc. Ability to work independently, handle multiple tasks simultaneously, and meet critical milestones and goals. - Required Able to effectively manage workload and prioritize activities Proficient with MacOS Advanced knowledge of Microsoft Word/Excel/PowerPoint - Required Must be willing to travel to client sites worldwide to support work as needed. Experience working in a global remote team environment

The New Product Development Engineer - Digital Services SME will lead the integration of digital diagnostics and predictive analytics into new Power and Thermal products. This role combines deep technical expertise in digital services with a focus on serviceability, safety, and business goals. The candidate will collaborate with R&D, product management, and global technical leads to ensure new products are digitally enabled, service-ready, and aligned with strategic initiatives. This position is remote, with occasional on-site travel and global team collaboration. RESPONSIBILITIES Serve as the subject matter expert for digital diagnostics and predictive analytics in Power and Thermal products. Interface with engineering, technical support, and field service teams to validate digital event data and ensure product accuracy. Lead the integration and refinement of Power and Thermal data models within Digital Services systems. Develop and refine technical documentation, maintenance procedures, and training materials focused on digital serviceability and new product launches. Represent Vertiv Services at design reviews, product reviews, and phase gate reviews, providing updates to management. Develop maintenance and troubleshooting procedures for new products, leveraging digital insights. Act as the Vertiv Services representative on the engineering change control board. Provide technical expertise in development of service plans for new products, including digital platforms. Lead development of service-related documentation and knowledge articles for Digital Services in relation to Power and Thermal products. Monitor industry trends and emerging technologies, recommending process and platform enhancements. Participate in customer engagements, on-site escalations, special projects, and strategic initiatives as assigned. Support logistics for parts research, spare kits, and parts sourcing for new products. Attend Beta startups and first article startups, providing feedback to engineering and product management. Train PTS and first classes of CEs on new products, including digital service features. Lead documentation and service platform development for new products. Develop startup and preventative maintenance forms for new products. Provide technical guidance to Marketing in development of Scope of Work documents and new services. QUALIFICATIONS Serve as the subject matter expert for digital diagnostics and predictive analytics in Power and Thermal products. Interface with engineering, technical support, and field service teams to validate digital event data and ensure product accuracy. Lead the integration and refinement of Power and Thermal data models within Digital Services systems. Develop and refine technical documentation, maintenance procedures, and training materials focused on digital serviceability and new product launches. Represent Vertiv Services at design reviews, product reviews, and phase gate reviews, providing updates to management. Develop maintenance and troubleshooting procedures for new products, leveraging digital insights. Act as the Vertiv Services representative on the engineering change control board. Provide technical expertise in development of service plans for new products, including digital platforms. Lead development of service-related documentation and knowledge articles for Digital Services in relation to Power and Thermal products. Monitor industry trends and emerging technologies, recommending process and platform enhancements. Participate in customer engagements, on-site escalations, special projects, and strategic initiatives as assigned. Support logistics for parts research, spare kits, and parts sourcing for new products. Attend Beta startups and first article startups, providing feedback to engineering and product management. Train PTS and first classes of CEs on new products, including digital service features. Lead documentation and service platform development for new products. Develop startup and preventative maintenance forms for new products. Provide technical guidance to Marketing in development of Scope of Work documents and new services. PHYSICAL & ENVIRONMENTAL DEMANDS Occasionally lift objects up to 50 lbs. Reactive, fast-paced, and high-profile environment. Minimum 25% domestic and international travel required. Work flexible schedules and maintain valid driver's license. TIME TRAVEL REQUIRED 20% travel will be required, work flexible schedules, and maintain valid driver's license. The successful candidate will embrace Vertiv's Core Principals & Behaviors to help execute our Strategic Priorities. OUR CORE PRINCIPALS: Safety. Integrity. Respect. Teamwork. Diversity & Inclusion. OUR STRATEGIC PRIORITIES Customer Focus Operational Excellence High-Performance Culture Innovation Financial Strength OUR BEHAVIORS Own It Act With Urgency Foster a Customer-First Mindset Think Big and Execute Lead by Example Drive Continuous Improvement Learn and Seek Out Development At Vertiv, we're on a mission to empower the people that will power the future. From a simple swipe to life-changing medicines, from push notifications to generative AI. We design, manufacture, and service the products and solutions that keep the world connected. With $5 billion in sales, a strong customer base and global reach spanning nearly 70 countries, we are uniquely positioned to deliver greater value to our customers and create new opportunities for our people. Vertiv is an Equal Opportunity/Affirmative Action employer. We promote equal opportunities for all with respect to hiring, terms of employment, mobility, training, compensation, and occupational health, without discrimination as to age, race, color, religion, creed, sex, pregnancy status (including childbirth, breastfeeding, or related medical conditions), marital status, sexual orientation, gender identity / expression (including transgender status or sexual stereotypes), genetic information, citizenship status, national origin, protected veteran status, political affiliation, or disability. If you have a disability and are having difficulty accessing or using this website to apply for a position, you can request help by sending an email to ********************** . If you are interested in applying or learning more about this role, please visit the company's career page located on Vertiv.com/Careers Work Authorization No calls or agencies please. Vertiv will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.

Desired Experiences: Bachelor's degree in computer science, Engineering, or related field. Experience with RESTful Services and Web APIs using back-end technologies using Java, and python. Proficiency in UI frameworks using Angular and Reach JS. Experience with Redshift, Postgres, and Oracle. Strong proficiency in HTML, CSS, JavaScript, and TypeScript. Skilled in use of AWS technologies for building, deploying, and operating applications. Proficiency with Continuous Integration/Continuous Delivery (Jenkins, GitLab) and experience with build tools such as Gradle, Maven, Nexus, etc. Skilled in establishing and maintaining consistency of a product's performance, functional, and physical attributes with its requirements, design, and operational information. Good to have GitHub copilot knowledge. Any working knowledge of R is preferred. :"