Clinical engineer jobs in Oakland, California - Page 3Create job alerts

As a Software Engineer at Charta, you'll play a pivotal role in designing, developing, and maintaining cutting-edge generative AI healthcare applications and platforms. About Charta Health In an industry where the focus should rightly be on delivering quality care to patients, healthcare providers remain burdened by the complexities of non-clinical operations. Charta is changing that. We're building the operating system for modern healthcare organizations. Our AI platform streamlines critical workflows across revenue cycle, clinical operations, and administrative functions, helping providers and payers operate more efficiently and deliver better patient care. Backed by Bain Capital Ventures, Charta is on a mission to make every healthcare dollar accountable and every chart accurate, reimagining healthcare infrastructure from the ground up. About the Opportunity At Charta, we prioritize results compared to methods used to achieve those results. As a Staff Software Engineer, you're responsible for the software solutions you develop. The role demands making informed decisions about project priorities, keeping in mind the product's future and its roadmap. You'll leverage technology to resolve problems, design customer-centric products and features, and maintain systems that can be scaled extensively. Joining our multidisciplinary team, your tasks would include: • Determining team objectives and priorities,, • Being involved from the outset in product ideation and development,, • Taking initiatives for product discovery and refinement sessions,, • Being responsible for problem analysis, crafting solutions and architectures,, • Delivering top-quality code and thorough documentation, and ensuring smooth deployment. You'd be a great fit, if you have:, • Bachelor's and/or Master's degree in Computer Science or related field, • At least 7 years of professional experience in software development shipping production code., • Fluent in one or more backend languages such as Python, Node.js, Java or C/C++. Next.js and/or React experience is a plus., • Experience building, testing and deploying microservices., • Interest or experience developing or leveraging modern generative AI technologies, including both proprietary and open-source large language models is a plus., • Distributed systems development experience. Performance optimization is a plus., • Experience with AWS, PostgreSQL, Docker and ECS/Kubernetes is a plus., • Strong communication skills to be used across engineering, product and other functional teams. What we offer:, • Competitive salary and comprehensive benefits package, including health, dental, and vision., • Equity & growth opportunities in a fast-growing, innovative tech startup., • Ongoing professional development and access to cutting-edge AI and healthcare tools., • Lively, in-person work culture at our SF Headquarters or NYC office, • $210,000 - $270,000 USD depending on experience + Equity + Benefits, • Annual performance based bonus up to 30% Our Commitment to Diversity We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Machine Learning Engineer Elicit is building the reasoning layer for science and decision-making. We use language models to search over 125 million papers, extract data, and surface insights so that researchers, policy-makers, and industry leaders can go from questions to evidence-backed decisions in minutes. Today, hundreds of thousands of researchers have used Elicit to speed up literature reviews, automate systematic reviews, and explore new domains. As we expand our impact beyond academic research, we are laying the groundwork for ML systems that are systematic, transparent, and unbounded when reasoning at scale. Our vision is ambitious: we're building the default starting point for understanding and reasoning through any hard question. We invite you to help us build that future. About the Role As a Machine Learning Engineer at Elicit, you'll build products and workflows that help researchers and scientific teams make higher quality decisions with language models. This is not a role for someone who only wants to develop models in isolation from user impact. A large part of the work is software engineering: building product experiences, APIs, data integrations, evaluation systems, and reliable harnesses that make language models reliably useful and trustworthy in high-stakes domains. You'll work on problems like: • Turning messy, ambiguous research tasks into clear product experiences, • Building interfaces and artifacts that help users understand, trust, and act on model outputs, thinking beyond the chat interface while leveraging full model capabilities, • Combining language models with external tools, structured and unstructured data, and retrieval systems, • Agentic harnesses for target assessment, evidence synthesis, and experiment planning that allow models to provide guarantees about their processes, • Data integrations across literature, scientific databases, customer data, and internal tools, • APIs that customers can use in their own systems, • Evaluation systems that help us understand whether a change actually improves user outcomes Examples of projects you could work on: • Build a target-assessment workflow that combines literature, genetics, chemistry, clinical, regulatory, and company data into a shareable artifact., • Build experiment-planning and iteration tools that help researchers decide what to do next and learn from new results., • Build evidence-monitoring workflows that keep teams up to date through alerts, briefs, and living reports., • Build enterprise APIs and structured-output pipelines that plug Elicit into customers' internal systems., • Build interfaces that make it easier to inspect, trust, and correct model outputs., • Build workflow-specific evals and quality systems that tell us whether a product change actually helped users., • A strong software engineering background and can build end-to-end systems, not just scripts or notebooks, • Fluency with language models to reason well about prompting, retrieval, evals, failure modes, and where (and how) finetuning is or isn't worth it, • Strong product sense and likes turning fuzzy user problems into concrete things people can use, • An excitement to solve difficult, creative problems rather than narrow optimization on well-defined benchmarks, • Ability to move across backend, data, and model layers as needed, • Clear communication with product, design, domain experts, and other engineers, • Like shipping user-facing things quickly, • Enjoy working on ambiguous problems with a lot of autonomy, • Care about product quality and user trust, not just technical novelty, • Want to build new kinds of software made possible by language models This is probably not the right role if you mainly want to: • Do low-level model systems work like CUDA optimization or model serving infrastructure as your primary focus, • Work only on research experiments without owning production systems Am I a Good Fit? Consider these questions: • How does a transformer work?, • What is a tokenizer?, • What is a decorator in Python? Location and Travel We have a lovely office in Oakland, CA, but we also have remote employees across the US. It's important to us to spend time with our teammates, so we ask that all Elicians come together for a quarterly team retreat, normally in or around the SF bay area. Benefits In addition to working on important problems as part of a happy, productive, and positive team, we also offer great benefits (with some variation based on work location): • Flexible work environment - work from our office in Oakland or remotely as long as you can travel to work in-person for retreats and coworking events, • Fully covered health, dental, vision, and life insurance for you, generous coverage for the rest of your family, • Flexible vacation policy, with a minimum recommendation of 20 days/year + company holidays, • 401K with a 6% employer match, • A new Mac + $1,000 budget to set up your workstation or home office in your first year, then $500 every year thereafter, • $1,000 quarterly AI Experimentation & Learning budget, so you can freely experiment with new AI tools to incorporate into your workflow, take courses, purchase educational resources, or attend AI-focused conferences and events, • A team administrative assistant that you can delegate personal and work tasks to, • Commuter benefits, a relocation bonus, and more! For all roles at Elicit, we use a data-backed compensation framework to make sure our salaries are market-competitive, equitable, and simple. For this role, we're targeting starting ranges of: • Career (L3): $185-230K + equity, • Senior (L4): $230-260K + equity We also offer above-market equity for all roles at Elicit, as well as employee-friendly equity terms. Join Us!

GenAI Engineer We are looking for passionate GenAI Engineers of all levels who are passionate about making a positive impact. You'll collaborate closely with a cross-functional team of researchers, clinicians, and engineers to translate cutting-edge language model capabilities into dependable, real-world clinical systems. Your focus will be on designing advanced LLM-driven workflows that can reason through complex clinical contexts, leverage agentic capabilities and structured tool use, navigate branching chains of LLM calls, integrate seamlessly with retrieval systems, and consistently generate outputs that meet the highest standards of clinical reliability and trust. A major part of this role will involve developing and applying rigorous evaluation frameworks (both automated and human-in-the-loop) to continuously assess accuracy, robustness, multilingual capabilities, and more. This is an opportunity to design experiments to probe failure modes, simulate edge cases, and stress-test LLM workflows under realistic load and challenging real-world conditions. You'll apply a disciplined, data-driven approach to understanding model behavior—developing tools to measure system performance, conduct A/B tests against established baselines, and generate clear, actionable insights that inform deployment decisions. This high impact role will own the end-to-end productionization of LLM workflows: deploying models into low-latency, high-uptime environments, building monitoring and observability systems, implementing post-processing guardrails, and managing workflow versioning. What You'll Bring * 3+ years of experience building production-grade systems, with 1–2+ years focused on GenAI or LLM-powered products. * Deep fluency with LLM APIs, prompting strategies, and orchestration patterns (e.g., LangChain, LlamaIndex, custom pipelines). * Experience with retrieval systems (e.g., semantic and lexical retrieval, vector DBs, efficient kNN), function calling, tool-use, or agentic workflows. * Working knowledge of model evaluation, experience building diverse datasets, conducting both automated and human-in-the-loop evaluations, running A/B tests, and working with subject matter experts to guide model improvement. * Strong Python fundamentals—including ability to write clean code, design comprehensive test-cases, and familiarity with core language features and standard libraries; experience with async programming, performance profiling, packaging, and deployment tooling is strongly preferred. * Good taste and intuition: You know when to move fast, ship, and iterate and also when to take a beat to tackle tech debt. We value people who are eager to learn new things and recognize that great team members might not perfectly match a job description. If you're interested in the role but aren't sure whether or not you're a good fit, we'd still like to hear from you. Must be willing to work from our SF office at least 3x per week This position requires a commitment to a hybrid work model, with the expectation of coming into the office a minimum of (3) three times per week. Relocation assistance is available for candidates willing to move to San Francisco. Why Work at Abridge? At Abridge, we're transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We're driving real, lasting change, with millions of medical conversations processed each month. Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business. Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it's not just what we do—it's how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients. We're committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life. If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you. How we take care of Abridgers: * Generous Time Off : 14 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees * Comprehensive Health Plans : Medical, Dental, and Vision coverage for all full-time employees and their families. * Generous HSA Contribution : If you choose a High Deductible Health Plan, Abridge makes monthly contributions to your HSA. * Paid Parental Leave : Generous paid parental leave for all full-time employees. * Family Forming Benefits: Resources and financial support to help you build your family. * 401(k) Matching : Contribution matching to help invest in your future. * Personal Device Allowance : Tax free funds for personal device usage. * Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits. * Lifestyle Wallet : Monthly contributions for fitness, professional development, coworking, and more. * Mental Health Support : Dedicated access to therapy and coaching to help you reach your goals. * Sabbatical Leave : Paid Sabbatical Leave after 5 years of employment. * Compensation and Equity : Competitive compensation and equity grants for full time employees. * ... and much more! Equal Opportunity Employer Abridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability. Staying safe - Protect yourself from recruitment fraud We are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @ abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article . Please exercise caution and cease communications if something feels suspicious about your interactions.

Andy Completes Clinical Documentation For Nurses Who Do Home Visits Home health nursing is a $250B industry, where 40% of revenue is spent on administrative tasks. Within 5 years, every nursing note will be done by purpose-built AI. • Andy saves nurses 20+ hours per week, • Nursing agencies hire us to solve labor shortage, reduce churn and slash admin cost What You'll Do You'll develop AI that reads complex, multi-modal data (text, image, audio) and generates accurate, home-health-specific documentation. • Structure highly heterogeneous healthcare data using frontier models, • Enhance models through detailed failure analysis and rapid iterations, • Design human-review processes to generate high-quality ground truth Who You Are You are a strong AI engineer who takes end-to-end ownership from idea to launch. • Strong foundation in AI, • Hands-on experience building with LLMs, • Excited to build in healthcare, • Tiantian, • Prev. PM at Google's healthcare division, • Launched world's first ever mosquito factory to eliminate Dengue (yes, it works!), • Sam, • Built Google Photos from 0 to 1B; tech lead for Photos Android (100+ eng), • Prev engineer at Bump (Sequoia) / Convex (a16z), • Sarah, • Prev. administrator of home health agency

We anticipate the application window for this opening will close on - 16 May 2026 At Medtronic you can begin a life-long career of exploration and innovation, while helping champion healthcare access and equity for all. You'll lead with purpose, breaking down barriers to innovation in a more connected, compassionate world. A Day in the Life We are seeking a committed professional to join our team. While this is a remote position not located at a physical Medtronic site, the candidate hired will be required to reside within the territory and drive to multiple accounts throughout the region. A valid driver's license is essential for this role. A Day in the Life As a Principal Territory Manager for Coronary, you will serve as a strategic partner and clinical expert to interventional cardiologists and cath lab teams, helping them adopt advanced coronary technologies that support confident clinical decision-making and improve patient outcomes. You will spend your time engaging physicians and hospital stakeholders through high-impact sales calls, procedural case support, and advanced clinical education. In the cath lab, you will provide technical leadership during coronary interventions and physiological assessments and champion best practices for the use of Medtronic's coronary solutions, including our newly acquired digital technology, CathWorks, the market leading Angio based Fractional Flow Reserve (FFRangio) solution. Outside the cath lab, you will work closely with hospital administrators, purchasing teams, and cross-functional Medtronic partners-including Enterprise Accounts, Strategic Accounts, Sales Leadership, clinical specialists, and inventory analysts-to drive access, influence pricing and contract strategies. While this is a remote position not located at a physical Medtronic site, the candidate hired will be required to reside within the territory and drive to multiple accounts throughout the territory. A valid driver's license is essential for this role. This role covers a larger territory and will require regular overnight travel, with expectations of up to 50% travel as new products and therapies are launched. What You Will Be Doing * Lead the promotion and sale of Medtronic's coronary portfolio, including stents, balloons, guidewires, imaging, and CathWorks technologies, across assigned territory. * Provide technical and clinical leadership in the cath lab during coronary interventions and physiological assessments, including support for complex cases. * Deliver advanced clinical education and training to physicians, nurses, and technicians * Build, maintain, and leverage relationships with key opinion leaders (KOLs), senior clinicians, and executive-level decision makers. * Partner with Enterprise Accounts, Strategic Accounts, and Sales Leadership to shape pricing strategies, support contract negotiations, and drive system-wide adoption. * Develop and execute sophisticated territory and account plans that address clinical, economic, and competitive dynamics. * Achieve and exceed quarterly and annual sales targets. * Travel frequently to hospitals and off-site meetings, which may require overnight stays. Required Knowledge and Experience: * High School Diploma (or equivalent) with 10+ years of relevant experience, or* * Associate's Degree with 8+ years of relevant experience, or* * Bachelor's Degree with 6+ years of relevant experience* *Relevant sales, clinical, or related experience in medical devices, medtech, healthcare, or life sciences Desired/Preferred Qualifications: Preferred candidates will demonstrate a combination of clinical expertise, commercial leadership, and strategic relationship-building skills, including: * Experience supporting cath labs and partnering with interventional cardiologists on complex coronary procedures. * Ability to build credibility with physicians and healthcare leaders by delivering data-driven, customer-focused solutions. * Strong territory/business planning skills, including managing competing priorities, anticipating market shifts, and executing long-term strategies with minimal oversight. * Proven ability to perform effectively in high-stakes clinical environments, providing composed procedural leadership. Physical Job Requirements The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position. The physical demands described within the Responsibilities section of this job description are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. For Office Roles: While performing the duties of this job, the employee is regularly required to be independently mobile. The employee is also required to interact with a computer, and communicate with peers and co-workers. Contact your manager or local HR to understand the Work Conditions and Physical requirements that may be specific to each role. For Baccalaureate degrees earned outside of the United States, a degree that satisfies the requirements of 8 C.F.R. § 214.2(h)(4)(iii)(A) is required. Physical Job Requirements The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position. The physical demands described within the Responsibilities section of this job description are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. For Office Roles: While performing the duties of this job, the employee is regularly required to be independently mobile. The employee is also required to interact with a computer, and communicate with peers and co-workers. Contact your manager or local HR to understand the Work Conditions and Physical requirements that may be specific to each role. U.S. Work Authorization & Sponsorship At Medtronic, we are committed to fostering an environment where employees can thrive and make a meaningful impact. In alignment with our enterprise-wide workforce planning approach, U.S. work authorization sponsorship (H-1B, TN, J, etc.) is offered exclusively for Principal-level roles and above, where specialized expertise aligns with long-term business needs. Roles below the Principal level require candidates to possess unrestricted U.S. work authorization at the time of hire and for the duration of employment. Join us in our mission to alleviate pain, restore health, and extend life-where your unique background and perspective are valued. Benefits & Compensation Medtronic offers a competitive Salary and flexible Benefits Package A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage. Salary ranges for U.S (excl. PR) locations (USD):$85,000 - $85,000 In addition to Base Salary, this position is eligible for a Sales Incentive Plan (SIP), which provides the opportunity to earn significant incentive compensation for achieving or exceeding your goals. Learn more about total rewards here. The base salary range is applicable across the United States, excluding Puerto Rico and specific locations in California. The offered rate complies with federal and local regulations and may vary based on factors such as experience, certification/education, market conditions, and location. Compensation and benefits information pertains solely to candidates hired within the United States (local market compensation and benefits will apply for others). The following benefits and additional compensation are available to those regular employees who work 20+ hours per week: Health, Dental and vision insurance, Health Savings Account, Healthcare Flexible Spending Account, Life insurance, Long-term disability leave, Dependent daycare spending account, Tuition assistance/reimbursement, and Simple Steps (global well-being program). The following benefits and additional compensation are available to all regular employees: Incentive plans, 401(k) plan plus employer contribution and match, Short-term disability, Paid time off, Paid holidays, Employee Stock Purchase Plan, Employee Assistance Program, Non-qualified Retirement Plan Supplement (subject to IRS earning minimums), and Capital Accumulation Plan (available to Vice Presidents and above, or subject to IRS earning minimums). Regular employees are those who are not temporary, such as interns. Temporary employees are eligible for paid sick time, as required under applicable state law, and the Employee Stock Purchase Plan. Please note some of the above benefits may not apply to workers in Puerto Rico. Medtronic benefits and compensation plans () About Medtronic We lead global healthcare technology and boldly attack the most challenging health problems facing humanity by searching out and finding solutions. Our Mission - to alleviate pain, restore health, and extend life - unites a global team of 95,000+ passionate people. We are engineers at heart- putting ambitious ideas to work to generate real solutions for real people. From the R&D lab, to the factory floor, to the conference room, every one of us experiments, creates, builds, improves and solves. We have the talent, diverse perspectives, and guts to engineer the extraordinary. Learn more about our business, mission, and our commitment to diversity here () . It is the policy of Medtronic to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Medtronic will provide reasonable accommodations for qualified individuals with disabilities. If you are applying to perform work for Medtronic, Inc. ("Medtronic") in any position which will involve performing at least two (2) hours of work on average each week within the unincorporated areas of Los Angeles County, you can find here () a list of all material job duties of the specific job position which Medtronic reasonably believes that criminal history may have a direct, adverse and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. Medtronic will consider for employment qualified job applicants with arrest or conviction records in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. We lead global healthcare technology and boldly attack the most challenging health problems facing humanity by searching out and finding solutions. Our Mission - to alleviate pain, restore health, and extend life - unites a global team of 95,000+ passionate people. We are engineers at heart- putting ambitious ideas to work to generate real solutions for real people. From the R&D lab, to the factory floor, to the conference room, every one of us experiments, creates, builds, improves and solves. We have the talent, diverse perspectives, and guts to engineer the extraordinary. We change lives . Each team member, each day, helps to improve and redefine how the world treats the most pressing health conditions, from heart disease to diabetes. Our industry leadership comes from the passion and ingenuity of our people. That's who we are. Working alongside one another, we use science, medicine, and a profound understanding of the human body to build extraordinary technologies that can transform lives. We build extraordinary solutions as one team . With one Medtronic Mindset defining how we work. Speed and decisiveness run through our DNA. Diverse perspectives inspire our bold answers to any challenge that comes our way. And we deliver results the right way, breakthrough after patient breakthrough. This life-changing career is yours to engineer . By bringing your ambitious ideas, unique perspective and contributions, you will... * Build a better future, amplifying your impact on the causes that matter to you and the world * Grow a career reflective of your passion and abilities * Connect to a dynamic and inclusive culture that welcomes the challenge of life-long learning Experiences that put people first . Respect for people is the hallmark of our humanity. It fuels our team to positively impact even a single life. And it means we put our people first at Medtronic as well, creating a culture of belonging and always pushing to get you the career-building resources you need. Life-transforming technologies . No matter your role, you contribute to technologies that transform lives. What we build empowers patients to live life on their terms. Better outcomes for our world . Here, it's about more than the bottom line. Our Mission to improve human welfare drives us. We advance healthcare, society, and equity with every design, inside and outside our walls. Insight-driven care . Fresh viewpoints. Cutting-edge AI, data, and automation. You're shaping the future of healthcare technology and defining the next generation of breakthroughs in care It is the policy of Medtronic to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Medtronic will provide reasonable accommodations for qualified individuals with disabilities. For sales reps and other patient facing field employees, going into a healthcare setting is considered an essential function of the job and we expect our employees to comply with all credentialing requirements at the hospitals or clinics they support. This employer participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here () . For updates on job applications, please go to the candidate login page and sign in to check your application status. If you need assistance completing your application please email To request removal of your personal information from our systems please email

Backend Engineer At Commure, our mission is to simplify healthcare. We have bold ambitions to reimagine the healthcare experience, setting a new standard for how care is delivered and experienced across the industry. Our growing suite of AI solutions spans ambient AI clinical documentation, provider copilots, autonomous coding, revenue cycle management and more — all designed for providers & administrators to focus on what matters most: providing care. Healthcare is a $4.5 trillion industry with more than $500 billion spent annually on administrative costs, and Commure is at the heart of transforming it. We power over 500,000 clinicians across hundreds of care sites nationwide – more than $10 billion flows through our systems and we support over 100 million patient interactions. With new product launches on the horizon, expansion into additional care segments, and a bold vision to tackle healthcare's most pressing challenges, our ambition is to move from upstart innovator to the industry standard over the next few years. Commure was recently named to Fortune's Future 50 list for 2025 and is backed by world-class investors including General Catalyst, Sequoia, Y Combinator, Lux, Human Capital, 8VC, Greenoaks Capital, Elad Gil, and more. Commure has achieved over 300% year-over-year growth for the past two years and this is only the beginning. Healthcare's moment for AI-powered transformation is here, and we're building the technology to power it. Come join us in shaping the future of healthcare. About the Role At Commure, our Revenue Cycle Management (RCM) team is at the forefront of revolutionizing healthcare technology by building innovative digital systems that empower healthcare providers with accurate, efficient, and real-time access to patient data. We're looking for talented Backend Engineers to help us build our health-tech products. If you love working on important, exciting problems in healthcare and love shipping quickly, come join us! This full-time position requires working 3-5 days a week in our Mountain View or San Francisco, CA office. What You'll Do • Contribute to the most advanced billing platform in the country, • Build end-to-end products to revolutionize revenue cycle management for providers and administrators, • Be a part of a tremendously fast-paced team that celebrates fast execution and decisions, • Work across the entire software stack, • Work with a stack that includes Python, Flask, Django, FastAPIs and other frameworks, • Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent extensive experience, • 3+ years of full time professional software development industry experience, • Strong Backend Programming Skills (Must be comfortable with Python), • Experience in environments where you have to ship quickly. We move fast., • General Understanding of Containers and Cloud (Docker, Kubernetes), • Excitement to work in a high impact field with a builder attitude!, • Experience building production environments, • Alerting and reporting, • Metrics tracking, • Software reliability engineering, • Great product sense, • Attention to detail around user experience and customer needs, • Extremely motivated to grow Please be aware that all official communication from us will come exclusively from email addresses ending in @getathelas.com, @commure.com or @augmedix.com. Any emails from other domains are not affiliated with our organization. Employees will act in accordance with the organization's information security policies, to include but not limited to protecting assets from unauthorized access, disclosure, modification, destruction or interference nor execute particular security processes or activities. Employees will report to the information security office any confirmed or potential events or other risks to the organization. Employees will be required to attest to these requirements upon hire and on an annual basis.

Staff+ Software Engineer, Full-stack San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic's Product Engineering org is looking for experienced engineers with strong full-stack fundamentals to join one of teams owning our current or emergent products. You'll be a technical leader who thinks holistically about the consumer and/or enterprise end user experience - be that via Claude.ai, the Anthropic API, enterprise deployments, Claude Code, or mission-driven applications - and carry real end-to-end ownership. You'll partner with engineering managers, product leaders, designers, and researchers to understand new model capabilities and redefine what is possible for users in the world of LLMs - and how to build it. We'll look to you to have a product-oriented mindset and input, own technical quality across the stack (performance, accessibility, reliability, and developer experience), scale your efforts to millions of users on a global scale, and carry genuine excitement about what AI makes possible. We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential. What You'll Do: Developer Experience: You'll build the products and tools - console, SDKs, docs, and observability - that give developers the confidence to rely on Claude in their most critical applications. Our mission is to meet developers where they are and bring them closer to the ceiling of what's possible with our models and API. That means building trust through great platform fundamentals, inspiring developers to raise the bar in how they use Claude's capabilities, and accelerating the path to agentic development by designing for both human and AI developers. You'll work closely with teams across the Platform org to turn Claude's newest capabilities into experiences developers can actually pick up and run with - from first prompt to production agent. Beneficial Deployments: Beneficial Deployments Engineering brings Claude to organizations doing the most good with the fewest resources — nonprofits, schools, healthcare providers, researchers, and economic mobility programs. We're looking for a full-stack engineer to build the access programs, tooling, and product work that make frontier AI usable for teams that couldn't afford this capacity any other way. Enterprise AI Products: You'll work on the products that make Claude a daily-use tool for enterprise customers across industries – the connective tissue that lets Claude operate effectively across workflows. On this team you will systematically understand why Enterprise users aren't activating, what's blocking adoption, and building the capabilities to close those gaps. Some of our focuses are: • Extensibility — plugins, skills, connectors, and the MCP ecosystem that lets a company shape Claude around their specific workflows and distribute that work across teams., • Context — enterprise knowledge, organizational memory, and the retrieval layer that makes Claude genuinely aware of a company's people, documents, and workflows. A connected, contextual Claude is the difference between a general-purpose chatbot and a real coworker., • Financial Services — analysts and bankers building models, memos, and decks under deadline. We're building retrieval, analysis, and document generation that holds up to executive review., • Healthcare — clinical documentation, prior auth, and care coordination. Work where accuracy isn't a feature, it's the whole product — and where compliance is part of the engineering. Growth: Drive user acquisition, engagement, retention, and monetization through data-driven strategies and technical implementations. At Anthropic, we're not just building AI tools; we're reimagining how AI can enhance and expand its user base! As a member of the growth team, you will have a unique opportunity to shape our growth strategy. You will work with a cross-functional team of engineers, data scientists, marketers, and product managers to design, implement, and optimize growth initiatives that scale our AI-powered tools and maximize their impact. Marketplace: builds the platform that connects Claude-powered enterprise tools through technology partnerships and deeper customer relationships. We work closely with business development, sales, product, and GTM teams, creating the infrastructure that powers partner onboarding, customer storefronts, transaction and entitlement flows at scale. We're building the technical scaffolding for a new offering, tackling the challenges at the intersection of commercial motions, platform architecture, and partner integrations so that enterprises, platforms, and Anthropic can transact with confidence. Passport: We're building the identity and verification product layer that enables safe model launches as Claude's capabilities expand. This critical effort partners with Safeguards, Auth & Identity, Policy, and Product teams across API, Claude.ai, and third-party platforms as customers, creating the systems for KYC/KYB, trust grant issuance and inheritance, and end-user verification that flow across every Anthropic surface. We sit at the intersection of trust, compliance, and product velocity, delivering the verification primitives that let Anthropic ship advanced model capabilities to the right users at massive scale. You Might Be a Good Fit If You: • Have a minimum of 8 years of practical full-stack engineering experience, ideally with 2+ years operating at a Staff or equivalent technical leadership level, • Have led the design and delivery of complex, consumer or B2B user-facing products across the full stack, • Are a technical expert in modern frontend and backend development, with demonstrated depth in key languages and frameworks (ie. React, Typescript), • Take a product-focused approach to building solutions that are robust, scalable, and easy to use, • Have worked in early start-up or otherwise fast moving, rapidly evolving environments, and have ideally built products from 0 to 1 Care deeply in investing in the mentorship and growth of your peers, • Have successfully driven cross-team/cross-org organizational alignment to get impactful work shipped, and work with influence over authority, • Have experience establishing engineering standards, component architectures, and development best practices Location Preference: Preference will be given to candidates based in NY, NJ, SEA, SF or the Bay Area given the current location of team. The annual compensation range for this role is listed 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. Annual Salary: $405,000 - $485,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Job Description About Nudge At Nudge, our mission is to develop the best technology for interfacing with the brain to improve people's lives. We're starting with an approach that we believe can help the most people the fastest, and also allow us to learn as much about the brain as possible: developing a non-invasive, ultrasound-based device that can stimulate and image the brain at high resolution and depth. This is a vertically integrated effort building cutting-edge hardware, software, and research capabilities to create products that can benefit millions — and eventually billions — of people. To succeed, we need to assemble world-class teams across everything we do. We hire people who are exceptional at their craft, believe hard things are worth doing, and execute relentlessly — people who expect the highest levels of both rigor and integrity from each other. About the role As an electrical engineer at Nudge, you will: * Engineer drive systems for high channel-count ultrasound phased arrays * Design analog receive circuits for novel imaging applications * Design embedded systems for miniaturized, wearable high channel-count ultrasound phased arrays * Architect systems for integration with transducers of different fabrication methods and custom ASICs * Develop precise, high throughput, reliable test systems * Own designs from concept through prototyping to deployment in clinical trials * Work closely with mechanical engineers, software engineers, ultrasound engineers, and clinical operators About you We are looking for engineers of all levels, with a preference for at least 3 years of industry experience. Regardless of your career level, you should have: * Strong engineering / physics first principles * Exceptional proficiency in ECAD * Degree in Electrical Engineering or similar engineering discipline * Strong analog and digital fundamentals * Experience designing embedded systems from architecture through integration * Demonstrated history of exceptional technical contribution * High integrity and strong professional judgement

Job Description About the Company: Zenara Health is a technology-driven mental health care company dedicated to transforming access and quality of mental wellness services. The company combines AI-powered platforms with expert clinical care to deliver personalized, effective mental health solutions. Zenara Health strives to innovate and improve mental health outcomes by connecting patients and providers through a seamless digital experience. About the Role: The Product Design Engineer will work closely with the founder to translate prototype ideas into robust design components and UI patterns. The position oversees command palette user experience, screen flows, accessibility features, and delivers frequent product previews. The role is hybrid with onsite collaboration in San Francisco, focused on fast-paced, iterative shipping of design improvements. Requirements • Minimum five years of experience building complex React and TypeScript applications., • Strong foundation in managing design tokens and component libraries using ShadCN, Tailwind, and related technologies., • Skill in converting prototypes into reusable components and enforcing design consistency., • Experience creating functional, clickable prototypes for new workflows., • Familiarity with UI accessibility, keyboard optimization, and performance best practices., • Hands-on exposure to Storybook, Playwright, or Cypress for UI testing., • Portfolio with evidence of keyboard-first workflows and rapid design iteration., • Competitive base salary plus performance bonus based on preview velocity and user experience quality., • Hybrid work model with flexibility for onsite and remote work., • Access to a well-equipped workspace and tools., • Opportunities for growth in a high-velocity product environment., • Collaborative culture focused on design excellence and constant improvement.

Job DescriptionProduct Engineer — Vera Health Location: San Francisco, CA (Onsite) | Compensation: $145,000 – $225,000 | Equity: Competitive About Vera Health Vera Health is building AI-powered healthcare tools with a large clinical user base. The team is focused on rapid iteration, user feedback-driven development, and shipping AI features that directly impact patient and clinician outcomes. The Role Founding product engineer working directly with founders to own product areas end to end. Heavy focus on user interaction, rapid iteration, and shipping AI-powered features to a large clinical user base. Product taste and speed matter more than deep infrastructure work. What You'll Do • Own product areas end-to-end from ideation through shipping, • Ship AI-powered features to a large consumer/clinical user base, • Drive rapid iteration cycles with real user feedback, • Work with analytics, A/B testing, and experimentation frameworks, • Integrate LLMs into production product experiences, • Translate messy user problems into simple product solutionsWhat We're Looking For, • 2 to 6+ years shipping production code in product-driven environments, • Strong product intuition and ability to ideate, spec, and ship independently, • Full stack experience with hands-on LLM integration, • Direct user engagement and feedback-driven development

Job Description About Nudge At Nudge, our mission is to develop the best technology for interfacing with the brain to improve people's lives. We're starting with an approach that we believe can help the most people the fastest, and also allow us to learn as much about the brain as possible: developing a non-invasive, ultrasound-based device that can stimulate and image the brain at high resolution and depth. This is a vertically integrated effort building cutting-edge hardware, software, and research capabilities to create products that can benefit millions — and eventually billions — of people. To succeed, we need to assemble world-class teams across everything we do. We hire people who are exceptional at their craft, believe hard things are worth doing, and execute relentlessly — people who expect the highest levels of both rigor and integrity from each other. About the role As an ultrasound engineer at Nudge, you will: * Improve acoustic models of transducer arrays and subject-specific acoustic properties with feedback from benchtop and clinical testing * Evaluate the devices for both safety and performance considerations * Inform the design of next-generation devices through modeling and prototype testing * Develop software and algorithms for signal processing, beamforming, holography, and imaging About you We are looking for engineers of all levels, but regardless of your career level, you should have: * Strong engineering / physics first principles * Experience with ultrasound metrology * Experience with acoustic modeling software * Strong understanding of biomedical applications of ultrasound * PhD in a relevant engineering discipline * Demonstrated history of exceptional technical contribution * High integrity and strong professional judgement

Job Description Staff AI/ML Software Engineer (GenAI / LLM Products) We're representing our prestigious client who is building a next-generation, AI-native platform transforming how people access and experience healthcare. This is an opportunity to join a foundational team shaping intelligent systems that directly impact real users at scale. We're looking for a product-minded AI/ML engineer who thrives in ambiguity, ships fast, and builds systems that matter. What You'll Do • Design, build, and deploy end-to-end AI-powered products using modern LLMs and orchestration frameworks, • Own and ship 01 features such as:, • Conversational AI assistants, • Intelligent search and retrieval systems, • Personalized recommendations, • Build scalable backend systems and APIs powering AI-driven user experiences, • Work across the stack — from data ingestion and modeling to real-time inference and product integration, • Partner closely with product, design, and clinical stakeholders to translate complex data into intuitive, high-impact tools Core Requirements • 8+ years of professional experience in software engineering or ML engineering, • 5+ years building ML systems in production environments, • Proven experience building and shipping LLM or RAG-based systems in production, • Strong proficiency in Python and backend development, • Hands-on experience with:, • LLMs (OpenAI, open-source models, etc.), • Retrieval-Augmented Generation (RAG), • Agent frameworks and orchestration tools, • NLP / information retrieval / semantic search, • Document processing, summarization, or knowledge systems, • evaluation frameworks, • prompt iteration, • Strong software engineering fundamentals:, • APIs, distributed systems, and backend architecture, • You've built AI products used by real users, not just internal tools, • You've taken systems from idea production iteration, • You think in terms of user impact, not just model performance, • You're excited by fast-moving, ambiguous environments and take ownership without waiting for direction, • Your experience is primarily in:, • ML infrastructure / platform engineering, • pure data science or analytics roles, • Build AI-first products from the ground up, not incremental features, • Work on problems with real human impact, • Join a small, high-calibre team where your work directly shapes the product and company trajectory

Job Description Two Chairs is building a new kind of mental health system based on the idea that the status quo isn't good enough. Industry-best clinician experiences, better client outcomes, groundbreaking innovation, and access to the highest quality care are how we'll raise the bar for the entire industry. With that, we're excited and honored to have been recognized as a 2025 Great Place to Work and 2025 Fortune's Best Workplaces in Healthcare. One of our company values is "Embrace Differences" and diversity, equity, inclusion, and belonging are the principles guiding how we build our business and teams. We encourage interested candidates from all backgrounds to apply even if they don't think they meet some expectations of the role. About the role As a Senior Software Engineer, you'll play a key role in building scalable, secure, and innovative applications that support our mission. Working across the stack, you'll collaborate with stakeholders from Product, Clinical Operations, and beyond to develop impactful features that enhance clinician and client experiences. Your contributions will directly shape the future of Two Chairs and the mental health industry. You'll be responsible for ensuring Two Chairs code is delivered accurately and efficiently and model best practices for the wider team. Core Areas of Responsibility • Playing a key role in building high-performance, secure, scalable and delightful client, clinician, and internal user facing applications., • Building and integrating new architecture, frameworks, and technologies that make for great software., • Collaborating with teammates across the stack to enhance and optimize our current systems with new features and increased stability., • Collaborating with our various stakeholders, understanding their workflows and translating their needs into seamless applications., • Understanding our clients' journey through care and architecting software that defines a best-in-class therapeutic experience. Where you'll make an impact in the first 90 days: • Gain an understanding of the code base, and the inner workings of our application., • Bring fresh ideas and suggestions for improvements., • Participate in sprint planning, standups, and retrospective meetings. Helping spec out scope and technical details., • Own and deliver several large cross-functional projects., • Take on a technical leadership role, mentoring junior developers, and driving architecture and technical planning decisions., • Play a key role in architecture, design, code reviews, and testing, providing guidance and support to elevate the team's technical excellence., • Tenured experience working in a startup environment (think ownership, agility, and innovation)., • Self-motivation and a self-starting attitude., • Experience working with our stack (Node/Express, Python/Django) or similar., • Experience with containerization (Docker or otherwise), Kubernetes, or similar is a plus., • Low ego and strong orientation to cross-functional work and stakeholder collaboration., • 5-6+ years of engineering experience owning projects and building scalable products. Compensation & Benefits The salary range for this full-time, exempt role is $158,000 - $180,000. The final offer is dependent on qualifications and experience. In addition, we offer perks and benefits that support the health and well-being of our teams, including: Additional perks and benefits: • Equity in a high-growth start-up, • Paid time off, including nine paid holidays and an additional Winter Office Closure from Christmas Day (Observed) through New Year's Day, • Comprehensive medical, dental, and vision coverage, • One-time $200 Work from Home reimbursement, • 401(k) Retirement savings options, • Annual $1,000 Productivity & Wellness Stipend to support your personal and professional goals, • Annual $500 subsidized company contribution to your healthcare FSA or HSA, • Paid parental leave Outreach Notice to Applicants We are thrilled that you're interested in joining our team! To ensure a consistent and equitable hiring process for all candidates, we kindly ask that you refrain from reaching out to current employees regarding the role, your application, or the interview process. Our talent acquisition team is committed to carefully reviewing all applications and will reach out directly if they decide to move forward. All applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. #LI-Remote

Job Description About Nudge At Nudge, our mission is to develop the best technology for interfacing with the brain to improve people's lives. We're starting with an approach that we believe can help the most people the fastest, and also allow us to learn as much about the brain as possible: developing a non-invasive, ultrasound-based device that can stimulate and image the brain at high resolution and depth. This is a vertically integrated effort building cutting-edge hardware, software, and research capabilities to create products that can benefit millions — and eventually billions — of people. To succeed, we need to assemble world-class teams across everything we do. We hire people who are exceptional at their craft, believe hard things are worth doing, and execute relentlessly — people who expect the highest levels of both rigor and integrity from each other. About the role As a development test engineer at Nudge, you will: * Design and build test systems to evaluate device performance, safety, and reliability with mechanical, electrical, acoustic, fabrication, and software components * Identify what matters most to test at a system level and translate risk into high-signal experiments before clinical use * Execute tests, analyze results, and feed clear learnings back into device and system design * Own and grow a library of validation and characterization tests as the system evolves About you We are looking for engineers with at least 4 years of industry experience. Regardless of your career level, you should have: * Experience building and running hardware-in-the-loop or instrumentation-heavy tests (acoustic, mechanical, electrical, or mixed-domain) * A degree in an engineering discipline (mechanical, electrical, mechatronics, engineering physics, or similar) or equivalent hands-on experience * Strong systems-level thinking of the entire device rather than isolated components * Comfort designing scrappy, fast experiments focused on learning and risk reduction rather than polish * Proven ability to work autonomously while collaborating closely with interdisciplinary engineering teams * A track record of building custom test setups from scratch when no standard test exists * High integrity and strong professional judgement

Job Description Location: Hybrid in San Francisco Compensation: 200-250k +/-, + equity + comprehensive benefits 2Bridge is partnered with an AI-powered Medical Information Platform that's transforming how over 10,000 healthcare professionals access and apply critical clinical knowledge. We’re hiring a Senior Infrastructure Engineer to help scale backend systems and ensure platform reliability at a global level. About the Role You’ll help design and build the infrastructure behind a mission-critical medical AI platform. You’ll have significant ownership over backend systems—ranging from service reliability and system performance to infrastructure security and data platforms that handle sensitive medical information at scale. You’ll collaborate closely with engineering leadership and cross-functional partners to translate real-world healthcare needs into elegant, scalable solutions. This is a high-impact, high-autonomy role in a focused, fast-paced startup environment. What You’ll Do • Design, build, and operate high-scale backend services and APIs, • Architect cloud-native infrastructure and backend services, • Develop and maintain infrastructure-as-code (IaC) and CI/CD pipelines, • Optimize and manage core systems: databases, caches, load balancers, • Own and improve production infrastructure, emphasizing performance, reliability, and uptime, • Implement robust observability, alerting, and incident response processes, • Collaborate with ML engineers, product managers, and designers to define and deliver platform needs, • Participate in light, daylight-only on-call rotation (about one week/month) What We’re Looking For • Experience in a meaningful infrastructure role at a growth-stage (Series B+) startup or large-scale tech company, • Direct experience building and operating production systems at scale, including infrastructure handling millions of operations and high concurrency, • High proficiency in building and operating backend services, and in architecting cloud-native systems, • High proficiency with Terraform or similar Infrastructure-as-Code tooling, • Moderate experience with DevOps tools, including Docker and Python/JavaScript packaging, • Experience with Python and Google Cloud Platform (GCP), • Experience with Django, Django REST Framework, and Postgres is a plus, • Exposure to MLOps and LLMOps environments is a plus, • Strong communication skills and a bias for ownership in startup environments Tech Stack • Languages & Tools: Python, JavaScript, • Infrastructure: Google Cloud Platform, Docker, Terraform (or similar IaC), • Frameworks & DBs: Django, Django REST Framework, Postgres, • DevOps: CI/CD tooling, observability stacks, Docker, packaging workflows, • Bonus: MLOps/LLMOps tools and practices

Job DescriptionThe Role We are seeking a Staff Machine Learning Engineer with deep expertise in agentic AI — and a true passion for experimentation and creation — to design, build, test, evaluate, and productionize next-generation autonomous AI agents for healthcare and clinical research. If you love rapidly prototyping wild ideas, running build-test-learn cycles, iterating on novel agent behaviors, and turning unsolved challenges into working systems, this is the role for you. You will own end-to-end agentic workflows that reason, plan, use tools, orchestrate multi-agent collaboration, and deliver safe, reliable outcomes in highly regulated environments, while collaborating with multidisciplinary teams to influence Medeloop's technological direction. You will also be nested within a team of advisors and collaborators with deep medical and health expertise, including scientists, clinicians, and AI experts, including the former FDA commissioner, former editor of JAMA, and developer of BloombergGPT. The result: You will be an active participant in fostering a data lead public health and healthcare ecosystem. What You'll Own • Lead the design and architecture of advanced agentic AI systems, including reasoning loops (ReAct, CoT, ToT), tool-calling, dynamic multi-agent orchestration, RAG pipelines, memory/state management, and emerging protocols like Model Context Protocol (MCP) and Agent-to-Agent (A2A)., • Build and own production-grade agent infrastructure, including prompts, function tools, workflow graphs, MCP/A2A integrations, and adaptive agent lifecycle management (spinning up, specializing, delegating, and decommissioning agents dynamically for complex healthcare workflows)., • Develop rigorous evaluation and safety frameworks — automated testing, benchmarking, regression testing, adversarial testing, safety guardrails, observability (tracing, logging, metrics), and human-in-the-loop mechanisms to ensure reliable, compliant performance in production., • Drive LLM and ML model development — train, fine-tune, and deploy large-scale models on healthcare datasets, working closely with researchers and clinicians to solve real clinical challenges., • Shape Medeloop's agentic AI strategy and roadmap in close partnership with the C-suite and cross-functional leadership., • Stay at the cutting edge of agentic AI (multi-modal agents, advanced reasoning models, interoperability protocols) and help establish Medeloop as a leader in transparent, compliant healthcare AI.What We're Looking For, • 7+ years of hands-on experience as a Machine Learning Engineer, with a proven track record building and shipping production agentic AI systems (single- or multi-agent) in industry, ideally in healthcare, life sciences, or other related domains., • Experience working on analytic engines (or advanced analytics platforms) — designing, optimizing, or integrating systems that power data-driven insights, queries, or decision-making at scale., • Strong theoretical foundation in ML/AI, with emphasis on NLP/LLMs, reinforcement learning, planning/reasoning algorithms., • Deep expertise with agentic frameworks and tools: LangChain/LangGraph, Model Context Protocol (MCP), Agent-to-Agent (A2A) protocols, Hugging Face, PyTorch, vector databases/semantic search, prompt engineering, and observability platforms (e.g., LangSmith, Phoenix)., • Experience designing fully automated evaluation and testing pipelines for autonomous agents and their orchestration, including metrics for reliability, safety, factuality, cost/latency, clinical utility, and dynamic behaviors., • A builder/experimenter mindset — you thrive on rapid prototyping, testing bold new ideas, iterating quickly on agent designs, and exploring uncharted territory in agentic systems., • Passion for unsolved challenges in healthcare AI, with the ability to thrive in a fast-paced, multidisciplinary environment and wear multiple hats.Bonus Points, • Strong record in top AI/ML conferences/journals; experience with healthcare data (EHRs, claims) and regulatory considerations (HIPAA, transparency, reproducibility)., • Multi-cloud experience (AWS, Azure, GCP)Why Medeloop, • Ownership from day one: small team, high-trust, no layers between your work and its impact, • Technically ambitious: you'll build AI-powered workflows, not just support them, • Real-world stakes: your work accelerates drug development, addresses health equity, and improves clinical research for institutions that matter, • Strong foundation: Series A, top-tier investors, and a data asset (200M+ patient records) that most companies spend years trying to build

Job Description About Nudge At Nudge, our mission is to develop the best technology for interfacing with the brain to improve people's lives. We're starting with an approach that we believe can help the most people the fastest, and also allow us to learn as much about the brain as possible: developing a non-invasive, ultrasound-based device that can stimulate and image the brain at high resolution and depth. This is a vertically integrated effort building cutting-edge hardware, software, and research capabilities to create products that can benefit millions — and eventually billions — of people. To succeed, we need to assemble world-class teams across everything we do. We hire people who are exceptional at their craft, believe hard things are worth doing, and execute relentlessly — people who expect the highest levels of both rigor and integrity from each other. About the role As a quality systems engineer at Nudge, you will: * Ensure that new and existing product designs and processes meet all internal and regulatory requirements with respect to safety and performance * Partner in new product development by leading quality critical discussions, influencing key decisions, and driving necessary process changes across design controls, investigational studies, and clinical trials * Effectively manage multiple tasks and drive execution of change orders * Initiate and/or support corrective action and preventive action (CAPAs) and non-conformances, leading investigations and implementing mitigations * Represent and cultivate a culture of quality by working with interdisciplinary teams to set expectations, identify gaps, and meet a high internal bar for rigor About you We are looking for quality systems engineers with at least 2 years of industry experience. Regardless of career level, you should have: * Experience with design controls, product/process validation, and risk management * A degree in an engineering or scientific discipline (e.g., biomedical engineering, electrical engineering, neuroscience) or equivalent hands-on experience * Familiarity with Good Clinical Practice (GCP) and human factors * Familiarity with the FDA QMSR, ISO 13485, and ISO 14971 * Experience conducting risk management activities using tools such as failure mode and effects analysis (FMEA) * Strong technical writing skills * High integrity and strong professional judgement

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