Electronics research engineer jobs near me - 220 jobs

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

A leading technology company is seeking an Information Security Engineer specializing in Threat Research. This remote position focuses on identifying and disrupting crimeware and ransomware threats. Candidates should have deep knowledge of threat hunting methodologies, exceptional communication skills, and experience in developing threat research. This role offers a competitive salary range based on location, emphasizing complete benefits for employee wellbeing. #J-18808-Ljbffr

A technology company is recruiting for a remote Electronics Engineer for an AI research project. You will work asynchronously to evaluate AI models based on your professional experience in electronics. This role requires at least 4 years of experience in engineering, where you will develop prompts for AI, evaluate responses, and contribute meaningful feedback. Flexibility in hours and work location makes it an ideal opportunity for professionals. Ideal for those looking to engage with AI in their field while maintaining their current professional commitments. #J-18808-Ljbffr

We are now looking for a Datacenter Product Engineer! NVIDIA Corporation is a world leader in visual computing technology. The GPU, which the company invented, serves as the visual cortex of modern computers and is at the heart of their products and services. NVIDIA has transformed into a specialized platform company that targets four large markets - Gaming, Professional Visualization, Datacenter and Automotive - where visual computing is essential and deeply valued. Their work also uncovers new universes to explore and enable outstanding creativity and discovery by powering what was once thought to be science fiction inventions like artificial intelligence and autonomous cars. Collaborating with your peers across various engineering groups, you will optimally launch new systems for NVIDIA HGX GPU Accelerated Server Platforms to production. These purpose-built systems are optimized for the growing Deep Learning, Artificial Intelligence, and Analytics environments. With world-class technology enabling never-been-seen-before performance levels, NVIDIA's HGX portfolio is arguably the most complicated systems platform ever developed by humans. This product family represents the company's fastest growing line of business as well as its largest total available market opportunity. You will bring to bear your knowledge of system architectures and GPU technology in order to productize new GPU boards for datacenter architectures with GPU-accelerated clusters. Your responsibilities will include planning and establishing processes, defining test requirements and optimizing the production line to deliver new GPU boards. You will also be instrumental in helping the team to achieve the desired cost and quality metrics considered outstanding. This position will be based in Dallas, Texas. What you will be doing: Use your in-depth experience with high speed networks and signals to plan and develop new diagnostic tests and debug procedures for next gen products Use your knowledge of system power-up and handshakes during boot to debug complex interactions between HW, FW and SW on faulty boards Recommend, drive and ensure compliance to DFx requirements for robust signal integrity performance as related to layout, mechanical components, assembly procedures, etc. Develop and deliver test specs for system level manufacturing screens for all new products to meet the required HW coverage, quality and product requirements. We collaborate with CM to define product assembly line, number of test stations and number of assembly fixtures, optimized for cost and efficiency. Craft creative solutions and WARs through volume data analysis and lab experimentation to solve meaningful yield and test problems. We lead optimization and continuous improvement efforts on the production screen spec definition processes to minimize waste and meet test time, yield, DPPM requirements. Support customer facing and quality teams during partner concerns to understand the issue and fix gaps identified in coverage. What we need to see: BS or MS degree in EE/CE or equivalent experience. 5+ years of meaningful industry experience. Strong EE fundamentals, knowledgeable in digital design, signal integrity, statistics, timing analysis, fault analysis, sampling and computer architecture. Ways to stand out from the crowd: Prior board/system level electrical design experience. Experience with Perl, C/C++, Windows, and Linux. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 116,000 USD - 184,000 USD for Level 3, and 140,000 USD - 224,250 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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.

Responsibilities Peraton Labs delivers innovative solutions and revolutionary new capabilities to solve the most difficult and complex challenges for government agencies, utilities, and commercial customers. With a distinguished heritage tracing back to Bell Labs, Bellcore, DHPC, and Telcordia, we are a self-sustaining research center within Peraton that provides applied research and engineering to enable government agencies, utilities and commercial enterprises to fully exploit the future of communications, analytics and cyber security. Peraton Labs' cybersecurity research protects mission-critical systems and national cyber infrastructure through a broad range of initiatives in computer network defense, cyber operations, secure-by-design techniques, and experimentation platforms. Role and responsibility for this position: The Cyber Security Research Engineer will work on cyber security research projects, working as part of a team of highly skilled engineers collaborating to develop, and test innovative prototypes. You will perform one or more of the following tasks: Designing, developing, and testing software modules related to emerging embedded cyber capabilities, high-availability network protocols, cyber mission planning and reasoning systems, data analytics, processing and analysis of high-volume network data. Hardware and software reverse engineering activities against bespoke targets. Development of CI/CD-based testing strategies for developed software modules. Analysis and assessment of multi-dimensional network data to Qualifications Education and Experience: Minimum of 2 years with BS/BA, 0 years with MS/MA Required: U.S. Citizenship Ability to obtain TS/SCI clearance Demonstrated software development expertise Ability and desire to quickly acquire knowledge of new subject matter areas Expertise in one or more of: C, C++, Java, Python, Go, or similar languages Working knowledge of modern development practices and toolsets (Git, subversion, CI/CD toolchains) Desired: Experience developing in and administering Linux A passion to learn something new every day and to stay up to date with developments in your field Adept at independent problem-solving and comfortable with a general approach of taking initiative to find and develop solutions Ability and desire to quickly acquire knowledge of new subject matter areas Working knowledge of modern computer networking technologies Familiarity with modern agile development practices (Scrum and similar) Familiarity with container and orchestration solutions, including Docker, Docker Swarm, Kubernetes, Terraform Experience with Networking Protocols Experience with configuring Network appliances Ability to grasp the “big picture” and see beyond specific problems Program analysis, including program understanding, vulnerability identification, and remediation Why choose us? Variety: You will work on multiple programs. You and your manager will have discussions to ensure your assignments are on track with your growth goals and interest areas. Flexibility: You will have the opportunity for a flexible work schedule. Subject to program requirements, you can set your hours while fulfilling 80 hours every two weeks. Additionally, while classified work requires onsite work, most staff can schedule about 20% of their time as work from home. Value: You will support interesting and challenging projects that are not repetitive or monotonous but rather have novelty and innovation; and great people to learn from and work with - collegial, smart, inspiring. Who we're looking for: Cyber: We are looking for staff with a strong interest (and ideally a track record) in cyber security research and development w/ strong software development skills. Generalists: You'll typically focus your work on the domain(s) of your specialty or preference, but a strong multi-domain awareness and ability is required. You should have a curiosity to learn new technology. Tangible: You'll work on applied research program to conceive and develop prototypes to solve cutting-edge, complex problems. Peraton Overview Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure. Target Salary Range $86,000 - $138,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. EEO EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

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!

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.

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 Team The Universes team within Research is responsible for training AI models to perform complex, difficult, long-horizon agentic tasks in ultra-realistic settings. We design and implement novel training environments that go far beyond what models can do today - environments where models learn to navigate ambiguity, handle interruptions, maintain context over extended interactions, and exercise judgment in open-ended scenarios. About the Role We're looking for Research Engineers to help us build the next generation of training environments for capable and safe agentic AI. This role blends research and engineering responsibilities, requiring you to both implement novel approaches and contribute to research direction. You'll work on fundamental research in reinforcement learning, designing training environments and methodologies that push the state of the art, and building evaluations that measure genuine capability. Responsibilities: Build the next generation of agentic environments Build rigorous evaluations that measure real capability Collaborate across research and infrastructure teams to ship environments into production training Debug and iterate rapidly across research and production ML stacks Contribute to research culture through technical discussions and collaborative problem-solving You may be a good fit if you: Are highly impact-driven - you care about outcomes, not activity Operate with high agency Have good research taste or senior technical experience, demonstrating good judgment in identifying what actually matters in complex problem spaces Can balance research exploration with engineering implementation Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems Are comfortable with uncertainty and adapt quickly as the landscape shifts Have strong software engineering skills and can build robust infrastructure Enjoy pair programming (we love to pair!) Strong candidates may also have one or more of the following: Have industry experience with large language model training, fine-tuning or evaluation Have industry experience building RL environments, simulation systems, or large-scale ML infrastructure Senior experience in a relevant technical field even if transitioning domains Deep expertise in sandboxing, containerization, VM infrastructure, or distributed systems Published influential work in relevant ML areas The annual compensation range for this role is below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Our total compensation package for full-time employees includes equity and benefits. Annual Salary:$500,000-$850,000 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. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you ******************* email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links-visit anthropic.com/careers directly for confirmed position openings. 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.

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.

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: ************ You will...- Collaborate with cross functional teams - including Maps, Data, and Simulation - to curate and generate high-quality datasets essential for training and evaluating our online mapping system. - Work closely with the Perception and Motion Forecasting teams to design, evaluate, and iterate on robust online mapping algorithms that dynamically adapt to real-world changes-such as road closures, construction, or shifting traffic patterns-ensuring accurate and safe navigation for our autonomous vehicles.- Partner with platform teams to ensure seamless integration, deployment and continuous operation of the online mapping system within our self-driving vehicles. - Champion engineering excellence, ensuring high-quality, well structured and tested code.- Contribute to the broader research community by publishing findings at top conferences and sharing insights on Waabi's blog, helping establish Waabi as a leader in online mapping research. Qualifications:- MS/PhD or Bachelors degree with a minimum of 2 years of industry experience in Computer Science, Machine Learning and/or similar technical field(s) of study.- Experience working on applied research projects in ML/Autonomous driving. - Passion for taking research ideas and turning them into practical solutions for real-world applications.- Solid understanding of computing fundamentals, including code efficiency.- Strong grasp of machine learning and computer vision literature, including current trends and state-of-the-art techniques.- Proficient in Python programming with a focus on writing high-quality, well-structured, and tested code.- Comfortable working with large datasets for machine learning applications.- Open-minded and collaborative team player with the willingness to help others.- Experience and excitement in supporting a fast-paced high-growth environment.- Passionate about being part of an organization solving self-driving technologies. Bonus/nice to have:- Experience in shipping machine learning features/models into production.- Previous experience in perception and/or online mapping systems. - Previous experience in self-driving technology or related fields.- Publications in top-tier conferences or journals related to computer vision, machine learning, or robotics.- Experience in working with platform teams and collaborating with research teams to implement and validate deep learning models.- Proficiency in Pytorch, Rust, C++ and/or CUDA. The US yearly salary range for this role is: $155,000 - $213,000 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.

What Makes a Honda, is Who makes a Honda Honda has a clear vision for the future, and it's a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of “power” that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize “the joy and freedom of mobility” by developing new technologies and an innovative approach to achieve a “zero environmental footprint.” We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team. If your goals and values align with Honda's, we want you to join our team to Bring the Future! Job Purpose To contribute to the development of functioning prototypes that will eventually become production ATV/SxS vehicles, researching and applying new technologies to support business targets and maintaining global vehicle product quality. Key Accountabilities Develop basic component and system layouts for ATV/SxS prototype vehicles using computer-aided design software that achieve concept targets, function requirements, and manufacturing requisites with minimal supervision. Communicate specification requirements and manufacturing control points via prototype and production drawings that result in setting the final specifications of global ATV & SxS new models and mass production vehicles. Maintain accurate technical, development, and administrative documentation as required. Adhere to given cost targets for responsible parts that contribute to achievement of the vehicle development targets and achieve the cost targets through optimizing basic part/system designs and offsetting any spec changes after target fix through implementation of additional cost reduction ideas. Create and manage schedule of individual work to ensure deadlines are met, coordinate resource needs with supervisor, and effectively utilize contractor resources with minimal supervision. Consistently communicate project status and participate in project meetings, discussions, and development events. Generate basic ideas that contribute to the evolution of new technologies. Support maturation of ideas to prepare for development applications with minimal supervision. Support market quality themes under the direction of others. Utilize problem-solving methods to analyse root causes. Develop and implement C/M specs as necessary with minimal supervision. Qualifications, Experience, and Skills Minimum Educational Qualifications Bachelors Degree or equivalent in a related engineering discipline Minimum Experience : Engineering experience desired, preferably in the Powersports or Automotive field Other Job-Specific Skills Strong leadership, coaching and mentoring skills Ability to interact/communicate effectively with staff/management Must be able to operate with high level of confidentiality Competent in FTA, FMEA, dimensional tolerance stack-ups and application Competent analytical, problem solving, judgement, decision-making and prioritization Competent drawing and layout skills/techniques, include understanding of CAE principles Competent in creating a plan and schedule Competent in understand product development schedules Working Conditions Travel: Average of 1-3 times monthly. Amount varies based on project demands/responsibilities, conferences, etc.; includes possible overseas travel. Physical: Primarily works at a desk or scope; frequent keyboarding. Limited kneeling, standing, squatting, reaching or bending. Hazards: Risks found in a typical office & shop setting. May be exposed to explosives/flammables, pressurized equipment, toxic chemicals and moving parts. Overtime: Overtime expected based on project demands/responsibilities. Maintains professional conduct and follows all departmental, safety Department, and Company policies, Procedures, and rules. What differentiates Honda and make us an employer of choice? Total Rewards: Competitive Base Wages (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.) Paid Overtime Regional Bonus (when applicable) Industry-leading Benefit Plans (Medical, Dental, Vision, Rx) Paid time off, including vacation, holidays, shutdown Company Paid Short-Term and Long-Term Disability 401K Plan with company match + additional contribution Career Growth: Advancement Opportunities Career Mobility Education Reimbursement for Continued Learning Training and Development Programs Additional Offerings: Lifestyle Account Childcare Reimbursement Account Tuition Assistance & Student Loan Repayment Elder Care Support Wellbeing Program Community Service and Engagement Programs Product Programs Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.

The Associate Electrical Engineer will contribute to the release of new products; will work in a cross-functional development group; manage a variety of tasks and activities in a dynamic environment; and solve complex problems where no precedence exists. Responsibilities: Design new computer room air conditioning (CRAC) products Collaboration across the disciplines of mechanical engineering, electrical engineering, process engineering, as well as production and offering teams. Work with these teams for design reviews, meeting cost metrics, and brainstorming around customer pain points. Performs a variety of engineering calculations using traditional engineering methods to verify design requirements Participate in identification of cost reduction opportunities Implement product changes to solve field issues, support service department Component verification Extended Responsibilities : Create and revise unit wiring schematics and network connection drawings Create and review electric panel layouts following relevant codes and standards Create and revise wire harnesses Requirements: Bachelor of Science Degree in Electrical Engineering (BSEE) or related degree from an accredited college or university Entry level, no prior experience Ability to work and multi-task in a fast-paced environment independently and as a member of a dynamic team; offer and receive constructive criticism Excellent communication skills, both written and verbal Capable of managing a project from start to end Preferred Requirements: Relevant internship or co-op experience Knowledgeable in 3D CAD software, preferred CREO 4.0 and greater Capable of learning, understanding, and applying various standards of NEC (NFPA70), CSA/UL, and IEEE 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 About Vertiv Vertiv is a $8.0 billion global critical infrastructure and data center technology company. We ensure customers' vital applications run continuously by bringing together hardware, software, analytics and ongoing services. Our portfolio includes power, cooling and IT infrastructure solutions and services that extends from the cloud to the edge of the network. Headquartered in Columbus, Ohio, USA, Vertiv employs around 20,000 people and does business in more than 130 countries. Visit Vertiv.com to learn more. 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. Equal Opportunity Employer 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 ********************. #LI-AC2

**Are you looking to power the next leap in the exciting world of advanced electronics?** Do you want to help solve problems that drive success in the rapidly evolving technology and connectivity landscape? Then bring your problem-solving, passion, and creativity to help us power the next leap in electronics. At **Qnity** , we're more than a global leader in materials and solutions for advanced electronics and high-tech industries - we're a tight-knit team that is motivated by new possibilities, and always up for a challenge. All our dedicated teams contribute to making cutting-edge technology possible. We value forward-thinking challengers, boundary-pushers, and diverse perspectives across all our departments, because we know we play a critical role in the world enabling faster progress for all. Learn how you can start or jumpstart your career with us. The **DuPont** **Electro** **nics** **Business** partners with customers at the cutting edge of technology to enable breakthroughs across AI, advanced computing, and advanced connectivity between and within next-generation devices. From groundbreaking solutions for semiconductor chip manufacturing, to enabling high-speed transmission within complex electronic systems, our high-performance materials and integration expertise make tomorrow's technologies possible - powering the next leap forward! Join us and become a part of an industry leading world class company with deep materials science expertise, best-in-class manufacturing, and industry-leading innovations that make next-generation technology a reality for our customers. We believe in nurturing entry level engineering talent by providing a solid foundation for growth and development. We offer an environment that encourages creativity, innovation, and collaboration, providing our employees with opportunities to advance their careers. We are currently seeking individuals for critical roles at the following hiring locations: + Circleville, OH + Marlborough, MA + Bayport, TX + Towanda, PA + Newark, DE + Parlin, NJ + Cleveland, OH In these roles you will be responsible for implementing engineering best practices, analyzing and improving processes, and contributing to projects aimed at enhancing safety, product quality, and equipment or infrastructure. You will have the opportunity to work in various significant roles, such as Production / Process Engineering, Manufacturing Technology, Equipment Reliability & Maintenance, Continuous Improvement, Product Quality, Technical Service, and Operations Management. Please note that the talent identified through this job posting would be directly hired into one of the locations listed above. These roles are not part of the rotation program. **Requirements:** + Bachelor's or Master's degree in Chemical, Mechanical, Electrical Engineering or related engineering fields from an ABET accredited institution. + GPA of 3.0 or higher on a 4.0 scale. + Minimum of 6 months of paid co-op or internship equivalent experience in your engineering discipline/major. + Willingness to be on-call for plant area support when required. + Legal right to work in the United States without employment restrictions. **Preferred Skills:** + Demonstrated leadership capabilities (taking initiative, agility, adaptability, influence management). + Six sigma green belt certification (or willingness to become certified in the first 24 months). + Training and experience with root cause failure analysis, process hazards analysis, and high hazard process safety. Qnity is pursuing new technologies and performance materials that enable your designs to be smaller, more complex, more reliable, and more powerful than you could ever imagine. DuPont is a technology leader, serving the semiconductor, circuit board, industrial, display, digital and flexographic printing, aerospace, and transportation industries. Every day we are solving our customers' biggest challenges and are honored to be their partner of choice. Join our Talent Community (*************************************************************** to stay connected with us! Qnity is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability or any other protected class. If you need a reasonable accommodation to search or apply for a position, please visit our Accessibility Page for Contact Information (**************************************************** . Qnity offers a comprehensive pay and benefits package. To learn more visit the Compensation and Benefits page (*************************************************************************** . **We use Artificial Intelligence (AI) to enhance our recruitment process.**