Biomedical engineer jobs near me - 603 jobs

A leading AI innovation firm is seeking an Interface Research Engineer to drive research innovation in adaptable interfaces. This role involves designing algorithms that leverage feedback for real-time interaction, collaborating across multiple domains to achieve system efficiency, and utilizing strong programming skills in Python. Candidates should possess deep expertise in model optimization and be adaptable team players. The position offers flexible work arrangements and comprehensive benefits, including medical coverage and a lunch stipend. #J-18808-Ljbffr

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

We're building the creative layer for modern communication. Every month, over a billion people make presentations - but the tools they use to make them haven't evolved in decades. We're changing that, using AI to disrupt a massive market. 📈 Millions of people rely on Gamma to create, teach, and persuade, creating more than 1 million gammas every day. 💻 We see Gamma as the next great workplace tool, combining viral B2C love with a massive B2B opportunity. We believe AI can be a true creative partner: one that understands context, clarity, and taste. 💸 We've reached a $2.1B valuation, crossed $100M in annual recurring revenue, and have been profitable since 2023. 💙 We're an imaginative, passionate team who takes our work seriously, but not ourselves. Our culture is warm, a little quirky, and fueled by curiosity. About the role You'll own the quality of AI across everything Gamma creates. As our Research Engineer, you'll design evaluation frameworks that measure AI output quality, systematically improve production prompts, and fine‑tune models to ensure millions of users get exceptional results every time they generate content with Gamma. This role sits at the intersection of research rigor and product impact. You'll diagnose failure patterns in AI‑generated presentations, docs, and websites, then craft targeted improvements through iterative experimentation. You'll build the tools and workflows that enable rapid testing, validate changes against quality benchmarks, and ensure our AI gets smarter with every iteration. If you're obsessed with output quality and love the challenge of making AI systems work beautifully at scale, this is your role. You'll succeed here if you combine deep technical expertise with a research‑oriented mindset. You need to be comfortable working in ambiguity, designing experiments that reveal model behavior, and iterating toward solutions that measurably improve quality. Exceptional attention to detail is essential, as is the ability to care about dimensions of quality that others might overlook. Our team has a strong in‑office culture and works in person 4-5 days per week in San Francisco. We love working together to stay creative and connected, with flexibility to work from home when focus matters most. What you'll do Design and maintain evaluation frameworks that measure AI output quality across all Gamma experiences, developing metrics and benchmarks to assess model performance. Systematically improve production prompts through iterative experimentation-diagnosing failure patterns, crafting targeted improvements, and validating against quality benchmarks. Conduct rigorous experiments to understand model behavior, analyze results, and derive insights that inform prompt and model improvements. Build tools and workflows to support rapid experimentation and quality analysis, enabling faster iteration on AI improvements. Fine‑tune models on targeted datasets to improve baseline performance, preventing issues like poor layout choices or low‑quality outlines. Partner with product and engineering teams to ensure AI quality improvements ship quickly and work reliably at scale. What you'll bring 1-2+ years working with AI systems with demonstrated experience shipping production‑grade AI products. Deep hands‑on experience with prompt engineering, LLM experimentation, and systematic evaluation of AI outputs. Strong experimental mindset with ability to design tests, analyze model performance, and iterate toward quality improvements. Experience with post‑training techniques for LLMs including reinforcement learning and supervised fine‑tuning. Research‑oriented approach to problem‑solving with comfort working in ambiguity and exploring novel solutions to AI quality challenges. Exceptional attention to detail and quality obsession-cares deeply about output quality across all dimensions, including less visible aspects. Bachelor's degree in Computer Science, Machine Learning, or related field, or equivalent hands‑on experience with AI research and experimentation (Nice to have). Compensation range Final offer amounts are determined by multiple factors, including but not limited to experience and expertise in the requirements listed above. If you're interested in this role but you don't meet every requirement, we encourage you to apply anyway! We're always excited about meeting great people. We're building on a full Typescript stack centered around some of the most modern and popular technologies. We use our own custom, open‑source AI prompting framework, AIJSX. We have a lot of custom tools built in house, but also new ones like Vercel AI SDK. Our tiny team operates at massive scale: 1M+ 70M users around the world 6M+ AI images generated daily 1 trillion LLM tokens processed per month Life at Gamma You get energy from small teams doing big things. You love when design, code, and storytelling overlap. You default to action, even when the answer isn't clear yet. You value details, but know when to ship and move on. You bring both the spreadsheets and the sparkle, equal parts workhorse and unicorn. You believe AI should amplify creativity, not replace it. You know kindness and intensity are not opposites. You like working with people who care deeply: about their craft, their teammates, and the users on the other side of the screen. Who we are Gamma is full of imaginative, passionate people who take their work seriously but not themselves. The culture is warm, a little quirky, and fueled by curiosity. It's the kind of place where you'll debate a pixel on Monday, laugh over someone's keyboard setup on Tuesday, and ship something remarkable by Friday. We care about craft, move with intention, and don't mind getting a little scrappy. It's fast, creative, and occasionally chaotic - but that's what makes it interesting. Here's a bit about what it's like to work here, from people on the inside: We asked the team what makes Gamma, Gamma. Here were some of their answers: "quirky, inspiring, fun, a little wild in the best way" "You can have an idea and just run with it." "Everyone's talented and humble - the mix keeps you sharp." "We ship cool stuff, learn a ton, and laugh a lot doing it." Meet the team We're a team of dreamers and doers building in beautiful San Francisco 🌉 We're kabbadi enthusiasts, pickleballers, dog herders, woodworkers, keyboard nerds, potters, and more - and we can't wait to meet you! #J-18808-Ljbffr

About Us: At Parafin, we're on a mission to grow small businesses. Small businesses are the backbone of our economy, but traditional banks often don't have their backs. We build tech that makes it simple for small businesses to access the financial tools they need through the platforms they already sell on. We partner with companies like DoorDash, Amazon, Worldpay, and Mindbody to offer fast and flexible funding, spend management, and savings tools to their small business users via a simple integration. Parafin takes on all the complexity of capital markets, underwriting, servicing, compliance, and customer service for our partners. We're a tight-knit team of innovators hailing from Stripe, Square, Plaid, Coinbase, Robinhood, CERN, and more - all united by a passion for building tools that help small businesses succeed. Parafin is backed by prominent venture capitalists including GIC, Notable Capital, Redpoint Ventures, Ribbit Capital, and Thrive Capital. Parafin is a Series C company, and we have raised more than $194 M in equity and $340 M in debt facilities. Join us in creating a future where every small business has the financial tools they need. About the Position: At Parafin, Product Engineers are the implemented product experts. We bridge design, product, and backend, which means we're responsible for making sure everything actually works the way it should. We are care about things beyond the specs like understanding why features exist, who uses them, and what problems they solve. You'll own the entire frontend: every transition, every edge case, every state change that happens between a user's action and what appears on their screen. You don't need to know our exact stack coming in, but you should be strong with JavaScript fundamentals and have shipped real products with React and TypeScript. What you'll do: Build polished experiences at scale. Work with design to ship great UI/UX, but also own the less visible stuff that matters like page speed, cross-browser support, mobile responsiveness. Master the product. Develop deep expertise and opinions in what we're building. Work with product and design to shape what we build, not just execute on specs. Instrument and optimize. Implement observability for user interactions, core web vitals, and perceived performance. Craft frontend and product infrastructure. Contribute to build systems, dev tooling, and deployment pipelines. Advocate for a better developer experience. Build internal tools that help the team move faster. Who you are: 2‑3+ years of experience working in a frontend engineering role You have an eye for design. You have track record of creating beautiful experiences for the web. You care deeply about user experience and have an understanding of what might make one UI better than another. You think in systems. You build infrastructure that makes future features easier. You know when to generalize and when to keep things specific. You're a self-starter. You enjoy building 0 to 1. You're always looking for things that could use some TLC and finding ways to make them better without asking permission. You care about the details. You care about micro-interactions. You think about what happens when the network is slow, when data is missing, or when users do unexpected things. You're a good teacher. You know how to explain ideas and trade-offs cross-functionally. You have opinions. You have thoughts on different state management approaches, how to structure provider hierarchies, and whether that hook should be extracted or kept inline. You can articulate why you'd choose one abstraction pattern over another. You're always learning. You've tried various coding and AI tools just out of curiosity. You want to know what the latest and greatest are and what problems they solve. What We Offer: Salary Range: $190k-$225k Equity grant Medical, dental & vision insurance Work from home flexibility Unlimited PTO Commuter benefits Free lunches Paid parental leave 401(k) Employee assistance program If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact us. #J-18808-Ljbffr

Who is Recruiting from Scratch:Recruiting from Scratch is a talent firm that focuses on placing the best candidate for our clients. Our team is 100% remote and we work with teams across North America, South America, and Europe to help them hire.https://www.recruitingfromscratch.com/Product Engineer Location: San Francisco, CA (Mission District) Company Stage: YC W22 backed, $18.5M in funding Office Type: Onsite Salary: $140,000 - $200,000 + Equity (0.1% - 0.3%) Company Description Our client is a fast-growing developer documentation platform reaching over 20 million developers annually. They power the documentation of 3,500+ companies, including major tech players and over 20% of the most recent Y Combinator batch. Founded in 2022 and headquartered in San Francisco, they've established themselves as the modern standard for documentation in the tech industry. What You Will Do Own and drive features from conception to completion with a high degree of autonomy Create tasteful, intuitive user experiences that developers love Collaborate across teams to ship impactful products Balance customer relationships with feature development Have plenty of heads-down builder time in a team environment where the best ideas win Work with TypeScript, Next.js, and React to build scalable frontend solutions Ideal Candidate Background 2+ years of experience in full-stack software engineering with frontend emphasis Experience building features from 0 to 1 Strong portfolio demonstrating excellent user design sense and high-level craftsmanship Experience with React, Next.js, and TypeScript Strong communication skills and ability to work well on a team Drive to build amazing products and solve problems efficiently Preferred Experience working at early-stage, VC-backed startups Already located in the San Francisco area Familiarity with modern CSS component libraries and design trends Experience with documentation tools or developer-focused products Compensation & Benefits Competitive salary: $140,000 - $200,000 Equity package: 0.1% - 0.3% 20 days paid time off annually 401k benefits Free lunch and dinners $420/month wellness stipend Annual team offsite Visa sponsorship available (O1, TN, and H1B transfers) This role offers a unique opportunity to join a diverse, growth-oriented team (collectively speaking 12 languages!) that values learning velocity and grit. You'll work in an environment where people think beyond their scope and help others across projects. If you're passionate about creating exceptional developer experiences and want to be part of building the future of documentation, we'd love to connect with you! #J-18808-Ljbffr

A leading consulting firm in the U.S. is seeking a Site Reliability Engineer skilled in building resilient infrastructure and automating processes. You will lead teams, optimize systems, and implement monitoring tools. The ideal candidate has extensive experience in cloud technologies, Unix/Linux, and application troubleshooting, along with a master's degree or equivalent experience. This role offers a competitive salary range between $99,000 and $225,000 annually, with a flexible work model. #J-18808-Ljbffr

WorkOS builds tools and services for developers to help them implement authentication, identity, authorization, and overall enterprise readiness. We're a fully distributed team with employees across North American time zones. We're well-funded, having raised $100m in funding from top investors including Greenoaks Capital, Lachy Groom, and Lightspeed Ventures. Our fast-growing customer base includes rapidly growing SaaS companies like OpenAI, Cursor, Perplexity, Vercel, Plaid, and hundreds of others. About the role 💭 The Radar team builds our real-time identity intelligence layer that helps developers detect risk, prevent threats, and protect their apps. Radar ingests high-volume authentication and identity events, enriches them with signals, and powers workflows that customers use to take action: enforcing challenges, blocking suspicious behavior, or triggering reviews. Our mission is to give developers a turnkey platform for identity security and risk evaluation - something that “just works” out of the box but is flexible enough to support sophisticated use cases. Engineers on Radar care deeply about correctness, performance, observability, and the developer experience. The ideal candidate is excited by distributed systems, analytics, and safety features that meaningfully protect users. Responsibilities ✔️ Design and build performant, resilient systems for real-time identity event processing Craft intuitive APIs and developer workflows that make Radar easy to adopt Develop a deep understanding of the identity-security landscape and shape Radar's product direction Work closely with customers to understand signals, risk models, and areas of friction Maintain a strong focus on reliability, security, correctness, and observability across the stack Collaborate with other product teams, solutions engineering, and our go-to-market team Work directly with leadership on greenfield ideas Help recruit and assess future engineering team members Qualifications 🌟 5+ years of industry software development experience Experience working on small teams in high agency, fast-paced environments Background in large-scale systems, real-time pipelines, or event-driven architectures Intellectually curious, independently driven, and passionate about great products A growth mindset, high emotional intelligence, and strong communication skills Bonus: Experience with our stack of TypeScript, React, and Postgres Bonus: Experience in B2B SaaS, developer tools, or a related industry Benefits (US Only) 💖 Competitive pay Substantial equity grants Healthcare insurance (Medical, Dental and Vision) for you and your family 401k matching Wellness and fitness monthly allowances PTO + paid holidays + unlimited sick leave Autonomy and flexibility with remote work At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements. For benefits available to those working outside the US, please inquire directly with our recruiting team. Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. 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. #J-18808-Ljbffr

About Us: At Parafin, we're on a mission to grow small businesses. Small businesses are the backbone of our economy, but traditional banks often don't have their backs. We build tech that makes it simple for small businesses to access the financial tools they need through the platforms they already sell on. We partner with companies like DoorDash, Amazon, Worldpay, and Mindbody to offer fast and flexible funding, spend management, and savings tools to their small business users via a simple integration. Parafin takes on all the complexity of capital markets, underwriting, servicing, compliance, and customer service for our partners. We're a tight-knit team of innovators hailing from Stripe, Square, Plaid, Coinbase, Robinhood, CERN, and more - all united by a passion for building tools that help small businesses succeed. Parafin is backed by prominent venture capitalists including GIC, Notable Capital, Redpoint Ventures, Ribbit Capital, and Thrive Capital. Parafin is a Series C company, and we have raised more than $194M in equity and $340M in debt facilities. Join us in creating a future where every small business has the financial tools they need. About the Position We are looking for a user-focused front-end engineer to join our Lending Products team in San Francisco. In this role, you will help build intuitive and seamless user interfaces that will power the suite of Parafin's financial offerings. The Lending Products team is responsible for crafting the user journey for all of Parafin's financing products. You will collaborate with stakeholders across the company to launch new features and regularly experiment with existing ones to enhance the end-user experience. You will contribute to the development of our core web infrastructure and play a key role in identifying, prioritizing, and implementing frontend improvements that accelerate product development and ensure a high-quality user experience. Responsibilities You will fully own our customer facing web product and drive its development You will help define the product architecture all the way from the technologies we use to design principles that we apply You will frequently talk to our customers to understand their needs and define the product experience You will work closely with our product designers and ensure a high quality bar for our products You will help scale the Parafin team by hiring exceptional talent Requirements 6+ years of experience working in a web engineering role You care deeply about building high quality software and take immense pride in your craft. You are comfortable owning and driving the development of the product from 0 to 1. You have a strong grasp of engineering fundamentals. You have experience working with Javascript, Typescript, Next.js, React, or other similar technologies. You have a strong understanding of functional and reactive programming paradigms. You are excited about working on a small team and helping us set the foundations for the company. What We Offer Salary Range: $235k - $300k Equity grant Medical, dental & vision insurance Unlimited PTO & work from home flexibility Commuter benefits Free lunches Paid parental leave 401(k) Employee assistance program If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact us. #J-18808-Ljbffr

A global leader in information management is looking for a talented Systems Engineer in Boston. This role requires U.S. Citizenship and the ability to obtain government clearance. Responsibilities include troubleshooting, providing support, and performing system documentation. Ideal candidates will have a Bachelor's degree, strong technical skills, and experience with Windows Server and Linux. The expected salary range is between $93,400 to $124,500, offering opportunities for professional growth in a fast-paced environment. #J-18808-Ljbffr

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.

Scientific Applications & Research Associates, Inc. (SARA) is a world-class Defense Research and Development enterprise, with a charter to create new and emerging technology innovations in support of Commercial & Government organizations. We have expertise in RF, EMP, Pulsed Power, Acoustics and Threat Warning Systems, and we prioritize partnering with our customers to address real-world problems with cost-effective solutions… that work. The SARA, Inc. High Power Electromagnetics Division (HPEM) is looking for a highly motivated and skilled Research Engineer with a focus on bioelectromagnetics to join our interdisciplinary team. The ideal candidate will have a strong background in the study of electromagnetic fields and their interaction with biological systems. This role requires a deep understanding of both the theoretical and practical aspects of bioelectromagnetics, applied physics, and related research methodologies. The candidate will contribute to the development of innovative solutions and technologies that advance our understanding and application of electromagnetic principles in various domains including medical devices, health diagnostics, and environmental health. The candidate will have the opportunity to grow and learn with talented engineers, physicists, and technicians on long-standing programs and new programs supporting our customers. Our small group will allow the candidate to experience, contribute, and collaborate in a multidisciplinary nature from conception all the way through to operation. The candidate must be a high-performing engineer with a substantial technical pedigree in Bioelectromagnetics and Applied Physics. Candidates must be strong team participants, have excellent communication skills, be resourceful and creative, and willing to contribute to a multidisciplinary and fast-paced engineering environment. Responsibilities: Design, develop, and test electromagnetic systems and devices for a variety of applications Conduct research on the interaction of electromagnetic fields with biological tissues and develop models to predict these interactions Collaborate with cross-disciplinary teams to integrate electromagnetic systems with other technologies Analyze and interpret data from experiments and simulations and prepare technical reports and presentations Stay abreast of the latest advancements in bioelectromagnetics, applied physics, and related fields Contribute to the writing of proposals and the pursuit of funding opportunities Ensure compliance with relevant regulations and standards in the design and development of bioelectromagnetic, technologies, devices, and systems Collaborate with cross-disciplinary teams to integrate electromagnetic technologies into broader systems, addressing challenges in electromagnetic compatibility and safety Mentor junior engineers and technical staff, fostering a culture of technical excellence and continuous learning Prepare technical documentation, including design specifications, test reports, and operational manuals Technical Skillsets Strong foundation in electromagnetic theory, with hands-on experience in simulation tools like COMSOL Multiphysics, CST, or ANSYS HFSS Proficient in programming languages such as Python or MATLAB for data analysis, modeling, and automation of research processes Knowledge in setting up and conducting experiments, including the use of instrumentation to measure electromagnetic fields and biological responses Ability to perform statistical analysis and visualize data, extracting meaningful insights from complex datasets Strong background in electromagnetic theory and signal processing Understanding of regulatory standards and compliance requirements related to bioelectromagnetic devices Key Competencies Leadership and team management Decision-making and problem-solving Effective communication Time management and organization Mentoring and coaching skills Minimum Requirements: Master's degree in Electrical Engineering, Biomedical Engineering, Physics, or a related field, with a focus on bioelectromagnetics 3 - 5 years of relevant experience in bioelectromagnetic research or engineering Strong foundation in electromagnetic theory and its application to biological systems Proficiency in simulation tools (e.g., COMSOL, CST) and programming languages (e.g., Python, MATLAB) Excellent analytical and problem-solving skills Effective communication skills, both written and verbal, with the ability to work collaboratively in a team environment Must be a US Citizen with the ability to obtain and maintain a Top Secret or equivalent DoD clearance May require moderate physical effort or carrying/lifting up to 50 pounds Working environment is indoor, moderately quiet, reasonably clean, well-lighted, and well-ventilated; moderate physical hazards may exist Available for moderate levels of travel and off-site work Preferred Qualifications: PhD degree in Electrical Engineering, Biomedical Engineering, Physics, or a related field, with a focus on bioelectromagnetics 10 years of relevant experience in bioelectromagnetic research or engineering Demonstrated record of scientific research and publication in peer-reviewed journals Experience with the development and regulatory approval process of medical devices or health technologies Knowledge of additional fields such as electromagnetic field theory, materials science, or bioengineering Experience mentoring and leading teams in a technical capacity Active DoD Secret or Top Secret Clearance SARA offers a competitive benefits package to include: Medical, dental, vision, disability and life insurance; and other supplemental programs A generous PTO program (vacation, sick, holiday) Tuition & certification reimbursement Flexible work schedules Employee bonuses 401(k) match/profit sharing Employee Stock Ownership Plan (ESOP) Pay Range Salary at SARA is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $95,000 to $145,000 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of SARA's total compensation package for employees. Positions are on-site, unless indicated otherwise. Application Deadline: February 11, 2026 SARA is an equal employment opportunity employer.

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!

**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 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 work collaboratively to improve our models and iterate on novel research directions, sometimes in just days. We're looking for talented engineers who'd enjoy applying their skills to deeply complex and novel AI problems. Here, you will: Apply and extend the Helm proprietary algorithmic toolkit for unsupervised learning and perception problems at scale Carefully execute development and maintenance of tools used for deep learning experiments designed to provide new functionality for customers or address relevant corner cases in the system as a whole Work closely with software and autonomous vehicle engineers to deploy algorithms on internal and customer vehicle platforms You have: A sense of practical optimism: not all experiments are successful, but the ones that are more than make up for it! Comfort operating in a fast-paced environment to deliver customer projects Introspection, thoughtfulness, and detail-orientation Experience working with neural networks, Tensorflow and/or PyTorch Fluency in Python and working knowledge of C/C++ programing A strong interest in unsupervised learning, computer vision, and/or the autonomous vehicle industry Master's or Ph.D. in a related field and/or 5+ years of experience in a related field The pay range for this position is estimated to fall in the base range of approximately $150,000 and $250,000. Base compensation for this position will vary based on location, qualifications, and relevant experience. The offered base salary may be above or below this range and compensation for the position may include additional compensation in the form of equity or a bonus/commission. 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.

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.

SummaryAs the Biomedical Technician, you will respond to service calls within a hospital or healthcare system in Asheville, NC. You will evaluate, diagnose, and perform repair and planned maintenance on biomedical equipment, providing service excellence to drive customer satisfaction. At GE HealthCare, our machines, our software, our solutions, our services, and our people make a genuine difference to medical professionals and patients all over the world. That's because we never lose sight of what healthcare really needs-the human touch.Job DescriptionResponsibilities Evaluate customer biomedical equipment issues, implement appropriate repairs, and perform planned maintenance and safety and environmental inspections to support our customers' ability to deliver healthcare. Adhere to company policies, procedures, and hospital protocols, to ensure regulatory and compliance requirements are met; ensure documentation of all work performed is captured. Maintain strong relationships and frequent communications with customers to ensure resolution and proper follow-up, to ensure ongoing customer satisfaction. Maintain proper care of tools and test equipment to ensure calibration and ability to deliver timely and accurate repairs and maintenance to our customers. Identify and report all customer quality or compliance concerns immediately to the Quality Organization to ensure services are provided with the highest ethical standards. Basic Qualifications Associate's or bachelor's degree in Electrical Engineering, Biomedical Engineering, Mechanical Engineering, or related field; OR equivalent military education; OR participant in the formal GEHC Biomed/FE Services Internship or Military Externship program; OR High School Diploma/GED and 2+ years of experience servicing electrical, electronics, IT or mechanical equipment. Knowledge of electronic digital circuitry and understanding of electronic and electro-mechanical devices. Experience interpreting schematic diagrams. Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening. Preferred Qualifications Ability to be available after-hours and/or work a rotating on-call schedule, including weekends. Ability to lift and move up to 35lbs. We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership - always with unyielding integrity Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you'd expect from an organization with global strength and scale, and you'll be surrounded by career opportunities in a culture that fosters care, collaboration and support. #LI-DM1 #LI-Onsite 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. We will not sponsor individuals for employment visas, now or in the future, for this job opening. 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

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.

Bellefontaine, OH Ready to take your engineering career to the next level? Join a dynamic team that values collaboration, innovation and professional growth! 📌 Collaborate with a Vibrant Team: Why work solo when you can be part of a motivated team of engineers dedicated to process improvements and innovation? 📌 Hands-On Experience: If you thrive on the manufacturing floor and love being in the heart of the action, this position is perfect for you! 📌 Showcase Your Talents: This high-profile role allows you to demonstrate your continuous improvement achievements and make a tangible impact. 📌 Advance Your Career: Join a company with a proven track record of promoting engineers from within this group. You could be next in line for advancement, without needing to relocate for corporate opportunities. 📌 Be Part of Growth: Work for a company that is investing heavily in its future. With $7M budgeted for new equipment and upgrades, you'll be at the forefront of critical projects! Don't settle for just any engineering opportunity-this is the one that will propel your career forward! Manufacturer is seeking a Process Engineer to work in their engineering team. The Process Engineer will be responsible for overseeing an assigned area related to best practices, KPI improvements, plan execution and new technology industrialization. Responsibilities will include: Supporting the company's best manufacturing initiatives as a team and by partnering with other sites Monitoring and analysis of production numbers and KPIs Identifying continuous improvement projects, overseeing 6-8 CI projects at a time, including managing project timelines Completing the assigned area's capability and capacity analysis on a biannual basis Assisting with new model activities and capital equipment projects Developing and improving line layouts and making line modifications Sharing and evaluating best practices with sister locations Training associates on proper quality, production and engineering procedures Conceptualizing and designing fixtures and gauges in 2D and 3D software Partnering with quality to help determine root cause analysis of quality issues and establish countermeasures Spending up to 50% of your time on the manufacturing floor, focused on engineering efforts Other engineering tasks as assigned This is a hands-on position that requires qualified candidates to be on the manufacturing floor up to 50% of their day. Candidates should be able to manage their own projects, be flexible with their work requirements, have good written and verbal communication and enjoy working within a team of energetic engineers. Individuals should have excellent floor communication skills and be able to effectively communicate with frontline associates. Medical benefits are available the first of the month after 30 days of employment. Holidays, vacation, relocation assistance, 401K and bonus! REQUIREMENTS for the Process Engineer: 1. Bachelor's degree; preferred majors include mechanical engineering, mechanical engineering technologies, industrial technologies or manufacturing technologies 2. At least 1-3 years in a similar process engineering position 3. Experience performing engineering functions in manufacturing environments; highly automated environments with PLCs and robotics preferred 4. Experience focused on continuous improvement initiatives, including scrap reduction, efficiency improvement, elimination of downtime, etc. 5. Project management skills 6. Basic 2D and 3D modeling 7. Mechanical aptitude 8. Microsoft Office, specifically Excel Skills preferred but NOT required: 1. Automotive manufacturing work experience 2. Capital equipment projects 3. Exposure to Lean and/or Six Sigma methodologies 4. New model launch 5. Strong data analysis skills 6. Injection molding Why work for this organization: 📌 New capital equipment projects have been completed at the plant 📌 Diverse business mix (Honda, Toyota, Ford and other OEMs) 📌 Supply truck, car, van and EV markets 📌 Competitive benefits package and bonus structure 📌 Opportunity for advancement at the plant or corporate level (you don't have to relocate to promote into corporate positions) 📌 Good work/life balance, with minimal Saturdays (when you do work a Saturday, you will get a comp day!)