Service Engineer jobs at Guardant Health - 3882 jobs

Senior Project Engineer - Commercial Dallas, TX Are you the type of professional who puts just as much care into managing relationships as you do into managing projects and supporting your team? Are you equally skilled at explaining contracts as you are at scoping them? Are you ready to join a Commercial General Contractor that will help you thrive? We're looking for a Senior Project Engineer to play a key role in the delivery of complex commercial projects, working closely with clients and the project team. That Senior Project Engineer could be you. Why You'll Love Us Competitive pay and a comprehensive benefits package An engaging workplace and exciting projects that make an impact Innovative and sustainable business practices that set us apart A team that gets things done! What You'll Do Take ownership of quality control and assurance across commercial projects. Plan your work and work your plan, overcoming obstacles and driving projects forward with confidence and clarity. Manage RFIs, submittals, change orders, claims, and other critical documents. Support and lead coordination across the project team and serve as the main point of contact with subcontractors. Stay ahead on site documentation, changes, and cost implications while ensuring all safety protocols are followed. Mentor junior engineers and help grow the team. A Little More About You Minimum 3 years of experience in commercial construction Degree in Construction Management, Civil Engineering, or related field Reliable, personable, and someone others enjoy working with Strong leadership skills with the ability to mentor others Excellent communication and relationship-building skills Experience with construction software preferred Ability to prioritize and manage time effectively Strong decision-making skills, you'll often be the one making the final call If you're ready to take on challenging, meaningful projects and grow with a team that values your expertise, let's build something extraordinary together.

The Principal Artificial Intelligence & Machine Learning Engineer I/Scientist I works within the Artificial Intelligence Operations and Data Science Services group (AIOS) in the Informatics & Analytics department of Dana‑Farber Cancer Institute - a teaching affiliate of Harvard Medical School. The Principal Artificial Intelligence & Machine Learning Engineer I/Scientist I works in a team environment on both short‑term priorities identified by our top clinicians, as well as on long‑term institutional efforts that aim at revolutionizing the way the Institute conducts basic cancer research and provides best‑in‑class clinical oncology to our patients. AIOS is part of the department serving some of the most prominent research and clinical programs at the Institute, from basic to translational research, to clinical deployment, and operationalization. The AIOS group encompasses expertise in AI, data science, machine learning, computer vision, NLP, production deployment, cloud infrastructure, data engineering, project management standards, and data labeling. Dana‑Farber Cancer Institute (DFCI) provides expert, compassionate, and equitable care to children, adults, and their families, while advancing the understanding, diagnosis, treatment, cure, and prevention of cancer and related diseases. DFCI trains new generations of clinicians and scientists, disseminates innovative patient therapies and scientific discoveries around the world, and reduces the impact of cancer, while maintaining a focus on those communities who have been historically marginalized. Located in Boston and the surrounding communities, Dana‑Farber Cancer Institute is a leader in life‑changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS, and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high‑risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School‑affiliated hospitals. Minimum Job Qualifications Minimum Education: Master's degree required; PhD preferred. Minimum Experience: 8 years of relevant experience required with Master's degree or 7 years of relevant experience required with PhD. Deep machine learning & AI skills, at the interface with computer science. Python experience is required; R experience is a plus. Experience within a clinical or research environment preferred. Experience managing at least one person is preferred. Primary Duties and Responsibilities Meeting and consulting with physician scientists requiring machine learning & AI support and designing plans and solutions, participating in their research activities, as well as supporting them in the grant writing, and leading research efforts when required. Interpreting complex machine learning & AI information. Summarizing and presenting results to senior leadership. Monitoring new developments in the field and having vision for staying at the cutting edge. Recognizing and reporting problems with the machine learning & AI process and identifying solutions. Knowledge, Skills, and Abilities Required Strong team player with the ability to leverage the many excellent groups and resources at DFCI and Harvard more broadly and build collaborative strategies. Ability to communicate and solve problems effectively, track record in serving a variety of diverse customers and projects and of leading teams. Ability to work independently, prioritize, and manage people if needed, within an environment with rapidly changing priorities. Experience to teach three or more of the following: Natural language processing or Computer vision technologies, Transformers, Adversarial / Generative models, JAX + Flex / Haiku, Vision Transformers, Federated learning, AutoML, Self‑supervised learning, Causal ML, Reinforcement learning, Infrastructure as Code, DataOps (versioning, lineage, and governance), AIOps & MLOps life cycle (from deployment to monitoring to retirement), explainable AI, batch/online/streaming/edge training/inference, fully reproducible and auditable ML practices, CI/CD for large language models and large vision models, Multi‑Cloud & Hybrid data platforms, productized Docker/Spark/Kubernetes solutions such as Databricks and Snowflake, High‑throughput big data processing under redundancy / low‑latency requirements. Supervisory Responsibilities None. Patient Contact None. At Dana‑Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff who offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and compassionate professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply. Equal Opportunity Dana‑Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law. EEO Poster Poster's link placeholder Pay Transparency Statement The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate's relevant experience, skills and qualifications. For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA). Salary Range $154,000.00 - $184,500.00 #J-18808-Ljbffr

Leidos National Security Sector combines technology-enabled services and mission software capabilities in the areas of cyber, logistics, security operations, and decision analytics to support our defense and intel customers' mission to defend against evolving threats around the world. Our team's focus is to ensure our customers have the right tools, technologies, and tactics to keep pace with an ever-evolving security landscape and succeed in their pursuit to protect people and critical assets. The Intelligence Production Solutions Division (IPSD), part of the Decision Advantage Solutions Business Area, is currently seeking a Mid-Level Systems Engineer for the Chinook Program. As part of a highly skilled team, you will play a critical role in delivering geospatial intelligence (GEOINT) capabilities through innovative systems engineering practices, directly supporting the Customer's mission to provide timely, relevant, and accurate intelligence to national decision-makers and warfighters. Position may be performed in the following locations below. Please note Gaithersburg, MD is the program's primary work location. Gaithersburg, MD Alexandria, VA Chantilly, VA Aurora, CO St. Louis, MO Tucson, AZ Clearance Level Required: Top Secret with SCI eligibility and able to obtain a Polygraph. Primary Responsibilities: Support system architecture design, requirements development, integration planning, and configuration management. Provide engineering expertise for mission systems across the full system lifecycle from concept through deployment and sustainment. Collaborate with stakeholders across the Customer's and contractor teams to ensure interoperability, scalability, and mission alignment. Evaluate and recommend tools, techniques, and processes for system development and integration. Develop and maintain technical documentation, including system interface control documents (ICDs), and engineering reports. Participate in technical reviews, readiness assessments, and milestone events. Conduct analysis of system performance and provide recommendations for optimization. Basic Qualifications: US citizenship is required per contract. Bachelor's degree in Systems Engineering, Computer Science, or related field and 4-8 years of prior relevant experience or Master's with 2-6 years of prior relevant experience. Strong understanding of systems engineering principles, including requirements management, integration & test, and configuration control. Familiarity with Model-Based Systems Engineering (MBSE) tools and methodologies (e.g., Cameo, Sysml). Experience working in a DoD or Intelligence Community (IC) environment. Proficiency with Atlassian tools (JIRA, Confluence), Microsoft Office Suite, and collaboration platforms. Excellent written and verbal communication skills. Preferred Qualifications: Systems Engineering Professional (SEP), INCOSE, CISSP, Security+ certification, or similar credentials. Experience supporting the Customer's programs or working with the GEOINT lifecycle. Knowledge of cloud-based architectures (AWS, C2S) and DevSecOps environments. Familiarity with Agile and SAFe methodologies. Experience supporting GEOINT missions. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Original Posting: November 21, 2025 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: $87,100.00 - $157,450.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit *************** Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ************************************ Securing Your Data Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at *****************************. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws. #J-18808-Ljbffr

System Engineer I page is loaded## System Engineer Iremote type: Hybridlocations: San Francisco, CAtime type: Full timeposted on: Posted 3 Days Agojob requisition id: JR747**Career-defining. Life-changing.**At iRhythm, you'll have the opportunity to grow your skills and your career while impacting the lives of people around the world. iRhythm is shaping a future where everyone, everywhere can access the best possible cardiac health solutions. Every day, we collaborate, create, and constantly reimagine what's possible. We think big and move fast, driven by our commitment to put patients first and improve lives. We need builders like you. Curious and innovative problem solvers looking for the chance to meaningfully shape the future of cardiac health, our company, and your career**About This Role:**As a System Engineer I in iRhythm's Product Development - System Engineering Group, you will contribute to the development and improvement of innovative testing solutions that enhance our products and manufacturing processes. This entry-level position provides an excellent opportunity to grow within the MedTech and wearable device industry, collaborating with cross-functional teams including Design, Firmware, Software, Electrical, and Mechanical Engineering.You will work closely with R&D, product development, and manufacturing teams to design, refine, and support test fixtures and tools for iRhythm's products. This role offers hands-on experience, exposure to multiple engineering disciplines, and a collaborative environment that supports career development.Key Responsibilities* Support the design, development, and validation of test systems for iRhythm's medical devices.* Collaborate cross-functionally with design, software, firmware, and manufacturing teams to enhance testing efficiency and reliability.* Assist in creating and maintaining technical documentation including test plans, system requirements, and test reports.* Contribute to root cause analysis and troubleshooting activities for test and system-level issues.* Participate in continuous improvement initiatives to optimize test processes and tools.* Ensure work complies with quality system and regulatory requirements relevant to medical device development.Required Qualifications* Bachelor's degree in Electrical, Biomedical, or a related engineering discipline (Master's degree preferred).* Familiarity with bench-top lab equipment (e.g., power supplies, DMMs, oscilloscopes).* Ability to read and interpret circuit schematics and PCB layouts.* Basic programming or scripting skills in Python or C#.* Strong written and verbal communication skills for documentation and cross-functional collaboration.* Attention to detail with the ability to follow procedures while contributing innovative ideas.Preferred Qualifications* Experience automating test processes or procedures.* Understanding of statistical analysis and deriving test limits using GR&R or similar methods.* Exposure to electromechanical devices and/or medical device testing.* Familiarity with manufacturing processes or collaboration with manufacturing teams.* Experience with engineering documentation (Test Plans, Requirements, Validation Reports).Work Arrangement* Hybrid role - requires a minimum of 50% in-office presence at our San Francisco office.**Location:**San FranciscoActual compensation may vary depending on job-related factors including knowledge, skills, experience, and work location.**Estimated Pay Range**$83,200.00 - $104,000.00As a part of our core values, we ensure an inclusive workforce. We welcome and celebrate people of all backgrounds, experiences, skills, and perspectives. iRhythm Technologies, Inc. is an Equal Opportunity Employer. We will consider for employment all qualified applicants with arrest and conviction records in accordance with all applicable laws.iRhythm provides reasonable accommodations for qualified individuals with disabilities in job application procedures, including those who may have any difficulty using our online system. If you need such an accommodation, you may contact us at ***********************About iRhythm Technologies** iRhythm is a leading digital healthcare company that creates trusted solutions that detect, predict, and prevent disease. Combining wearable biosensors and cloud-based data analytics with powerful proprietary algorithms, iRhythm distills data from millions of heartbeats into clinically actionable information. Through a relentless focus on patient care, iRhythm's vision is to deliver better data, better insights, and better health for all.**Make iRhythm your path forward. Zio, the heart monitor that changed the game.**There have been instances where individuals not associated with iRhythm have impersonated iRhythm employees pretending to be involved in the iRhythm recruiting process, or created postings for positions that do not exist. Please note that all open positions will always be shown here on the iRhythm Careers page, and all communications regarding the application, interview and hiring process will come from a @irhythmtech.com email address. Please check any communications to be sure they come directly from @irhythmtech.com email address. If you believe you have been the victim of an imposter or want to confirm that the person you are communicating with is legitimate, please contact *********************. Written offers of employment will be extended in a formal offer letter from an @irhythmtech.com email address **ONLY**.For more information, see and At iRhythm, you'll have the opportunity to grow your skills and your career while impacting the lives of people around the world. Together, we are reimagining the way cardiac arrhythmias are diagnosed. We need curious problem solvers like you. With opportunities remotely, at our office, in manufacturing, and in locations across the globe, this is your chance to meaningfully shape the future of cardiac health, our company, and your career.**Driven By Purpose** - Cardiac health touches the lives of people all around us. Providing life-changing healthcare solutions that impact patients around the world drives us to bring our best every single day.**Growth Means Opportunity** - We are growing rapidly. And with that growth comes a wealth of opportunities to learn and advance at iRhythm. The potential to deepen your impact, seek new opportunities, and advance your career is yours to pursue.**Build the Future** - We are a boundary-pushing organization that values innovative thinking and impacts healthcare at a global level. The expectation is to think big and build the future you see for iRhythm, our patients, and yourself.### Get In TouchIntroduce yourself to our recruiters and we'll get in touch if there's a role that seems like a good match. #J-18808-Ljbffr

A pioneering tech company in San Francisco is seeking a Robotics Engineer who excels in system-level debugging and end-to-end feature delivery for autonomous trucks. The successful candidate will develop and validate autonomy features, lead technical deployments, and collaborate across various teams. Requirements include 2+ years of software development experience and strong programming skills in modern languages. A role involving occasional travel to customer sites is also included. #J-18808-Ljbffr

Leidos National Security Sector combines technology-enabled services and mission software capabilities in the areas of cyber, logistics, security operations, and decision analytics to support our defense and intel customers' mission to defend against evolving threats around the world. Our team's focus is to ensure our customers have the right tools, technologies, and tactics to keep pace with an ever-evolving security landscape and succeed in their pursuit to protect people and critical assets. The Intelligence Production Solutions Division (IPSD), part of the Decision Advantage Solutions Business Area, is currently seeking a Mid-Level Systems Engineer for the Chinook Program. As part of a highly skilled team, you will play a critical role in delivering geospatial intelligence (GEOINT) capabilities through innovative systems engineering practices, directly supporting the Customer's mission to provide timely, relevant, and accurate intelligence to national decision-makers and warfighters. Position may be performed in the following locations below. Please note Gaithersburg, MD is the program's primary work location. Gaithersburg, MD Alexandria, VA Chantilly, VA Aurora, CO St. Louis, MO Tucson, AZ Clearance Level Required: Top Secret with SCI eligibility and able to obtain a Polygraph. Primary Responsibilities: Support system architecture design, requirements development, integration planning, and configuration management. Provide engineering expertise for mission systems across the full system lifecycle from concept through deployment and sustainment. Collaborate with stakeholders across the Customer's and contractor teams to ensure interoperability, scalability, and mission alignment. Evaluate and recommend tools, techniques, and processes for system development and integration. Develop and maintain technical documentation, including system interface control documents (ICDs), and engineering reports. Participate in technical reviews, readiness assessments, and milestone events. Conduct analysis of system performance and provide recommendations for optimization. Basic Qualifications: US citizenship is required per contract. Bachelor's degree in Systems Engineering, Computer Science, or related field and 4-8 years of prior relevant experience or Master's with 2-6 years of prior relevant experience. Strong understanding of systems engineering principles, including requirements management, integration & test, and configuration control. Familiarity with Model-Based Systems Engineering (MBSE) tools and methodologies (e.g., Cameo, Sysml). Experience working in a DoD or Intelligence Community (IC) environment. Proficiency with Atlassian tools (JIRA, Confluence), Microsoft Office Suite, and collaboration platforms. Excellent written and verbal communication skills. Preferred Qualifications: Systems Engineering Professional (SEP), INCOSE, CISSP, Security+ certification, or similar credentials. Experience supporting the Customer's programs or working with the GEOINT lifecycle. Knowledge of cloud-based architectures (AWS, C2S) and DevSecOps environments. Familiarity with Agile and SAFe methodologies. Experience supporting GEOINT missions. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Original Posting: November 21, 2025 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: $87,100.00 - $157,450.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit *************** Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ************************************ Securing Your Data Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at *****************************. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws. #J-18808-Ljbffr

The Artificial Intelligence & Machine Learning Engineer/Scientist I works within the Artificial Intelligence Operations and Services group (AIOS) in the Informatics & Analytics department of Dana-Farber Cancer Institute. This role provides support in machine learning, NLP, and computer vision to build reusable and scalable AI/ML tools and pipelines to support Dana-Farber operations, research, and clinical practice. The role operates in a matrixed team environment, collaborating with client-facing leads, software engineers, product managers, project managers, project sponsors, and clients. The Informatics & Analytics department serves patients, present and future, by collaboratively building a sustainable informatics and analytics ecosystem of tools and services to support and grow the Institute's research, clinical, and business missions. The AIOS group provides services related to AI, machine learning, computer vision, NLP, production deployment, cloud infrastructure, data engineering, project management standards, and data labeling. Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life-changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. Responsibilities: Contribute to the development, deployment, and monitoring of AI solutions, supporting scalable and efficient practices to ensure reliable telemetry tracking, model performance monitoring, and cross-platform efficiency. Assist in implementing and maintaining data and machine learning solutions, helping to manage models throughout their lifecycle to ensure they are well-organized, auditable, and maintain high accuracy. Support the creation and maintenance of CI/CD pipelines for machine learning models in cloud environments, including workflows for batch, online, streaming, and edge training/inference. Elicit functional requirements from end users and data science teams, utilizing methods such as user interviews, mockups, wireframes, end-to-end testing, prototypes, GUI designs, and use cases. Provide updates on assigned tasks and project progress to multiple groups including the AIOS team, client-facing leads, project sponsors, business owners, and internal stakeholders. Work effectively as part of a team, contributing to shared goals and supporting the success of projects and initiatives. Qualifications: Bachelor's degree in a related field (Computer Science, Data Science, Engineering) required. Master's degree preferred. 1 year of work experience in machine learning and AI required. Relevant lab work and research projects, teaching assistantships, internships, cooperative education programs undertaken during an advanced degree program may be considered toward qualifying work experience. Experience within a clinical or research environment preferred. Knowledge, Skills, and Abilities Required: Excellent communication and effective problem-solving skills. Track record in serving a variety of diverse customers and projects. Ability to work independently, prioritize, and adapt to meet the evolving needs of the Institute. Familiarity with Python. R, Databricks, and/or Snowflake experience preferred. Experience with one of the following: MLOPS and ML engineering; GenAI and agentic AI; AL/ML and data science; data engineering and pipelines. At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff that offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply. Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law. #J-18808-Ljbffr

A leading cancer research institute in Boston seeks an Artificial Intelligence & Machine Learning Engineer/Scientist I. This role involves developing scalable AI solutions, collaborating within a dynamic team, and ensuring model performance. Candidates should hold a Bachelor's degree in a related field and possess at least one year of relevant experience. An inclusive work environment is emphasized, encouraging all qualified applicants to apply. #J-18808-Ljbffr

The Artificial Intelligence & Machine Learning Engineer/Scientist I works within the Artificial Intelligence Operations and Data Science Services group (AIOS) in the Informatics & Analytics department of Dana‑Farber Cancer Institute - a teaching affiliate of Harvard Medical School. The Artificial Intelligence & Machine Learning Engineer/Scientist I works in a team environment on both short‑term priorities identified by our top clinicians, as well as on long‑term institutional efforts that aim at revolutionizing the way the Institute conducts basic cancer research and provides best‑in‑class clinical oncology to our patients. AIOS is part of the department serving some of the most prominent research and clinical programs at the Institute, from basic to translational research, to clinical deployment, and operationalization. The AIOS group encompasses expertise in AI, data science, machine learning, computer vision, NLP, production deployment, cloud infrastructure, data engineering, project management standards, and data labeling. Dana‑Farber Cancer Institute (DFCI) provides expert, compassionate, and equitable care to children, adults, and their families, while advancing the understanding, diagnosis, treatment, cure, and prevention of cancer and related diseases. DFCI trains new generations of clinicians and scientists, disseminates innovative patient therapies and scientific discoveries around the world, and reduces the impact of cancer, while maintaining a focus on those communities who have been historically marginalized. Located in Boston and the surrounding communities, Dana‑Farber Cancer Institute is a leader in life‑changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS, and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high‑risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School‑affiliated hospitals. Primary Duties and Responsibilities Meeting and consulting scientists requiring machine learning & AI support and designing plans and solutions. Delivering results for projects on‑time and on‑budget. Working as part of the broader team to identify longer‑term solutions that will improve quality, speed and efficacy of our current projects and programs. Evaluating and benchmarking new libraries; prototype and pipeline development. Knowledge, Skills and Abilities Excellent communication and effective problem‑solving skills, track record in serving a variety of diverse customers and projects. Ability to work independently, prioritize, and manage people if needed, within an environment with ever changing priorities. Experience with one of the following: Natural language processing or Computer vision technologies, Transformers, Adversarial / Generative models, JAX + Flex / Haiku, Vision Transformers, Federated learning, AutoML, Self‑supervised learning, Causal ML, Reinforcement learning, Infrastructure as Code, DataOps (versioning, lineage, and governance), AIOps & MLOps life cycle (from deployment to monitoring to retirement), explainable AI, batch/online/streaming/edge training/inference, fully reproducible and auditable ML practices, CI/CD for large language models and large vision models, Multi-Cloud & Hybrid data platforms, productized Docker/Spark/Kubernetes solutions such as Databricks and Snowflake, High‑throughput big data processing under redundancy / low‑latency requirements. Minimum Job Qualifications Bachelor's degree required. 1 year of relevant experience required. Deep machine learning & AI skills, at the interface with computer science. Python experience is required; R experience is a plus. Experience within a clinical or research environment preferred. License/Certification/Registration Required None Supervisory Responsibilities No Patient Contact None At Dana‑Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff who offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and compassionate professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply. Dana‑Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law. EEO Poster Pay Transparency Statement The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate's relevant experience, skills and qualifications. For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA). $90,400.00 - $106,400.00 #J-18808-Ljbffr

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

Persona is the configurable identity platform built for businesses in a digital-first world. Verifying individuals and organizations is harder - but more important - than ever, with AI enabling fraudsters to launch sophisticated accounts at scale and regulations evolving rapidly. We've built Persona to support practically every use case and industry - that's why we're able to serve a wide range of leading companies. For example, Instacart relies on Persona to verify shoppers who onboard onto their platform before delivering groceries to your doorstep. Meanwhile, OpenAI relies on Persona to keep bad actors out, protecting one of the world's most powerful AI platforms from large-scale abuse in a time when AI is reshaping the way we work and live. We're growing rapidly and looking for exceptional people to join us! About the Role Are you a software engineer ready to step out from behind the code and make a direct impact by building lasting relationships with customers? As a Field Product Engineer, you'll have the opportunity to leverage your technical background to address complex business and technical challenges. In this role, you'll develop both business and customer-facing acumen while working directly with team members to deliver impactful solutions. Beyond providing day-to-day support, you'll work closely with product and engineering teams, acting as a vital bridge between technical and customer-facing functions. If you're excited about using your technical skills to drive business growth and make a direct impact, this position is perfect for you. Best fit for Someone with 1-3 years of experience in a technical role (e.g., Software Engineer, Solutions Engineer, etc) looking to build lasting relationships with customers Someone curious to learn the ins and outs of a highly technical product Someone looking to level up their career alongside some of the brightest minds in the industry What you'll gain at Persona Technical challenges: You'll learn how to own the end-to-end delivery of complex solutions, such as design, implementation, quality assurance, and deployment for our customers ranging from startups to Fortune 10 companies. Dynamic business exposure: You will be exposed to various facets of our growing business. You will collaborate with teams across the organization, including Product, Engineering, and Sales, gaining a broad understanding of how different functions work together. Business growth partnerships: You will partner with members of our Post‑Sales & Sales teams to help solve problems and drive business results. You'll understand how to prioritize features and solutions that will help us win new business from startups to Fortune 10 companies. Impactful contributions: You will become an expert in Persona's platform products and future offerings, and directly inform Persona's product roadmap and go‑to‑market strategy. You'll serve as their technical advisor, helping craft solutions to their business needs by leveraging our platform's capabilities and industry best practices. Mentorship and growth: You will receive 1:1 mentorship directly from a member of our post‑sales/sales team, allowing you to learn from seasoned professionals and develop the skills needed for a successful career in the tech industry. Professional development: You'll build relationships with Persona's executives, who are former Square, Dropbox, and Coursera alumni. Persona offers an environment heavily focused on learning and development, with opportunities for career advancement across teams. What you'll bring to Persona Experience: You have 1-3 years of experience in a technical role (e.g., Software Engineer, Solutions Engineer) Curiosity: You have a passion for learning and embracing new challenges Strong interpersonal skills: You have a genuine desire to provide exceptional customer experiences and contribute to a customer's success Empathy: You can understand and manage the needs of others, and build an environment where others feel understood Outstanding verbal and written communication skills: You can effectively convey complex concepts to different audiences A growth mindset: You have a demonstrated love for learning and adaptability to ambiguity. You are eager to give and receive constructive and positive feedback, fostering a collaborative and supportive environment Willingness to travel: You are open to traveling up to 15% of the time for customer engagements Location and Travel This is a full‑time position based in our HQ in downtown San Francisco. Our in‑office days are Tuesday - Thursday, with the option to work from home on Monday and Friday. Many associates are expected to transition into full‑time positions after completing placement. This position may also include up to 15% travel. Full‑time Employee Benefits and Perks For full‑time employees (excluding internship and contractor opportunities), Persona offers a wide range of benefits, including medical, dental, and vision, 3% 401(k) contribution, unlimited PTO, quarterly mental health days, family planning benefits, professional development stipend, wellness benefits, among others. While we believe competitive compensation and benefits are a critical aspect of you deciding to join us, we do hope you consider why our core values and culture are right for you. If you'd like to better understand what it's like working at Persona, feel free to check out our reviews on Glassdoor. #J-18808-Ljbffr

Cresilon is a Brooklyn-based biotechnology company that develops, manufactures, and markets hemostatic medical devices utilizing the company's proprietary hydrogel technology. The company's plant‑based technology has revolutionized the current standard by stopping traumatic and surgical bleeds in seconds without the need for extended manual pressure. The company's current and future product lines target veterinary, human trauma, and human surgical applications. Cresilon's mission is to save lives. Learn more about the company at ***************** Job Summary The R&D Engineer I/II is responsible for supporting product design and process development activities while ensuring compliance with all quality and regulatory requirements. The position has a scientific focus that includes implementation of formulation development through process development, prototype fabrication, and characterization, along with additional process evaluation and data generation through designed experiments. Process development in an R&D environment will be followed by qualification and technology transfer into manufacturing. Collaboration is a key aspect of this role, as the engineer will work within a multidisciplinary team of researchers and engineers. The position offers diverse opportunities in a collaborative cross‑functional environment, requiring adaptability, flexibility, and a willingness to learn and innovate in the exploration of new technologies, new approaches, and techniques in pursuit of product/process robustness and innovation. The R&D Engineer I/II is expected to possess expertise in areas including, but not restricted to, polymer, chemical, material science, and process development and engineering. Additionally, they will assist in generating documentation essential for regulatory submissions, ongoing publication initiatives, and direct communication with the Head of Research regarding various tasks. This is a full‑time, on‑site position, located in Brooklyn, New York. This role is an independent contributor role (i.e. no direct reports). Level is dependent on experience. Responsibilities Oversee the planning, implementation, and analysis of experiments relevant to project objectives. Ensure the application of established scientific and engineering principles to solve complex problems and challenges innovatively and efficiently, adhering to rigorous scientific methodologies and protocols. Create and execute product/process enhancement, and new product/process development plans. Lead material/design/process changes and their implementation with well‑documented research/analyses. Process and analyze results, Author protocols and reports including engineering studies and design verification/validation activities. Aid in the development and execution of testing methods to aid in exploratory research, product/process development, and quality control; conduct chemical and mechanical property evaluation tests to assess the desirability of process or formulation changes. Prepare samples as required for manufacturing, testing, or other evaluations and data analysis. Participate in voice‑of‑customer (VOC) labs and other user needs assessments. Interface with external vendors, customers, and suppliers. Specify equipment and process requirements for developing and implementing new products, product improvement and new equipment/processes. Support process and product transfers to manufacturing or CDMOs. Maintain a laboratory notebook and other technical documentation according to required GLP/GMP guidelines. Understand and prioritize process improvements, design experiments to make those improvements, and execute these plans in the laboratory. Maintain active dialogue with Regulatory Affairs as subject matter expert on all product design elements/documentation about research towards FDA/regulated authority submissions. Provide support to the marketing and sales team, with the development of presentations, sales tools, and application data. Work with company leadership to evaluate existing research practices and contribute to a culture of ethical, high‑quality research operations within the organization. Provide other project or product support as needed to support Cresilon's business objectives. Required Qualifications Education: BS in Chemical Engineering, Polymer Engineering, Material Science & Engineering, or related engineering discipline. Minimum 4+ years previous experience in an industrial environment with a BS degree. (2 years minimum experience if advanced degrees). Proficiency as an adept experimentalist with hands‑on experience in the product and process development of polymeric materials and their characterization in an R&D or manufacturing environment. Mathematically inclined with strong analytical and problem‑solving skills with the ability to be observant and to think creatively. Demonstrated ability to design experiments and analyze data with the use of appropriate quality and statistical methodologies. Demonstrated ability to work independently as well as be a strong team contributor. Ability to effectively work within a team and cross‑functionally to expedite the completion of critical project tasks. Requires understanding of product/process design and engineering. Experience should include process development/validation and/or transfer/verification, protocols, and troubleshooting skills. Ability to handle multiple project assignments of medium scope and complexity and able to prioritize and complete work with a sense of urgency on time. Ability to lead directly and by influence, including strong problem‑solving, conflict resolution, and analytical skills. Working knowledge of Good Documentation Practices (GDP) and Good Manufacturing Practices (cGMP) requirements. Proficiency in the use of Microsoft Office, Microsoft Excel, Microsoft Word, Microsoft PowerPoint is required. Require excellent written and verbal communication and presentation skills. Legal authorization to work in the United States is required. Physical Requirements include: Aseptic Gowning Qualification: Able to be successfully qualified for aseptic gowning, including successful respirator training. Wear Appropriate Personal Protective Equipment (PPE). Be able to stand and walk for prolonged periods, with the ability to climb, balance, stoop, bend, reach, and handle equipment. Ability to speak, listen, and understand verbal and written communication. Possesses hand‑eye coordination and manual dexterity for delicate manipulations. Ability to lift up to 50 pounds occasionally and to carry, push, pull, or otherwise move objects. Visual acuity is required for performing close and distant activities. Preferred Qualifications An advanced technical degree (MS or PhD). Lab experience in an industry setting within cGMP-regulated environments. Prior experience developing processes and scaling these up into manufacturing or CDMO. Mechanical/electrical knowledge with the ability to troubleshoot processing equipment. Six Sigma green belt or black belt certification preferred. Experience implementing process and quality improvements in a manufacturing environment. Work experience with the medical device or pharmaceutical industries. Working knowledge of ISO 9001, ISO 13485:2003 and ISO 14971:200. Working knowledge of FDA requirements as per 21 CFR 820. Equal Opportunity Employment Cresilon is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Cresilon makes hiring decisions based solely on qualifications, merit, and business needs at the time. Benefits Competitive annual base salary range of $70,000 - $120,000, depending upon job level and qualifications Paid Vacation, Sick, & Holidays Monthly MetroCard Reimbursement 401(k) & Roth Retirement Savings Plan with company match up to 5% Work/Life Employee Assistance Program Company Paid Life and Short-Term Disability Coverage Medical, Dental, and Vision Insurance, FSA: Dependent & Healthcare, Commuter & Parking Benefits, Long Term Disability Coverage #J-18808-Ljbffr

Cresilon is a Brooklyn-based biotechnology company that develops, manufactures, and markets hemostatic medical devices utilizing the company's proprietary hydrogel technology. The company's plant-based technology has revolutionized the current standard by stopping traumatic and surgical bleeds in seconds without the need for extended manual pressure. The company's current and future product lines target veterinary, human trauma, and human surgical applications. Cresilon's mission is to save lives. Learn more about the company at ***************** Description: The Senior Medical Device Engineer is responsible for leading the design and development activities of new products and improving existing products in compliance with all quality and regulatory requirements. They will be responsible for authoring technical documents for the development of medical devices and combination products according to relevant Design Control regulations and standards. The person in this position will also be responsible for providing project-specific support, including technical analysis and review of supplier documentation as required. The position has a scientific focus that includes formulation development, product performance characterization, and implementation, including prototype design and fabrication, and data generation through designed experiments. The Senior Medical Device Engineer is expected to aspire for excellence with a bias toward action, willing to roll up their sleeves, get hands‑on, and do what's necessary to move projects forward in a fast-paced environment. They are committed to designing and developing products that dominate the marketplace and improve healthcare by partnering with our customers to drive purposeful innovation, resulting in best‑in‑class products. The Medical Device Engineer will work with a multidisciplinary team of researchers. This is a multi‑faceted job in a highly collaborative environment across multiple functions that will require flexibility as well as an ability to learn about and develop new technologies and explore new techniques in pursuit of product innovation and robustness. Role level is contingent on experience, but this is not an entry level role. This is a full‑time, on‑site position, located in Brooklyn, New York. Responsibilities Create and lead experimentation for exploratory and/or product development research focusing on polymeric materials devices and their use. Define new product functional requirements (design inputs/user needs) and evaluate the design's overall effectiveness, cost, reliability, and safety. Lead cross‑functional teams to develop new products, address design issues, and maintain existing designs. Apply strong problem‑solving skills to find solutions to complex problems. Work independently to plan and schedule own activities necessary to meet project timelines. Work cooperatively with quality, manufacturing, regulatory, clinical, and marketing to ensure project success. Lead the creation of design history file documentation through the new product development process. Develop new implant and instrument designs utilizing Solidworks and modeling/detail design specifications. Generate technical protocols/reports to support device safety and efficacy. Invent/create concepts and designs and submit invention disclosures. Ensure that all design activities adhere to FDA Quality System Regulations and ISO 13485 design control and risk management requirements. Lead material/design/process changes through a design control process, with well‑documented research/analyses. Author protocols and reports including development studies and design verification/validation activities. Develop and execute test methods to aid in exploratory research, product development, and quality control; conduct chemical and mechanical property evaluation tests to assess the desirability of process or formulation changes. Exercise technical judgment in the design, execution, and interpretation of experiments within the scope of project responsibilities and ensure the use of professional concepts to solve complex problems in creative and effective ways, in conformance with scientific methods and procedures. Prepare samples as required for testing, or other evaluations and data analysis, including in voice‑of‑customer (VOC) labs. Interface with customers, suppliers, and internal cross‑functional team members to develop specifications and coordinate prototype fabrication. Maintain a laboratory notebook and other technical documentation to required GLP/GMP guidelines. Maintain active dialogue with Regulatory Affairs as subject matter expert on all product design elements/documentation pertaining to research towards FDA/regulated authority submissions. Provide support to marketing and sales team, support the introduction of new technologies with the development of presentations, sales tools, formulations, and applications data. Communicate results to the scientific community via published papers. Present research at academic/industry symposia as an external representative of the company. Manage part‑time staff as a research leader and mentor for ongoing research projects. Work with company leadership to evaluate existing research practices and contribute to a culture of ethical, high‑quality research operations within the organization. Provide other project or product support as needed in order to support Cresilon's business objective. Responsibilities may include other duties as assigned and as required. Required Qualifications BS in Chemical Engineering, Polymer Engineering, Material Science, Biomedical Engineering, Mechanical Engineering, or related scientific discipline. A minimum of 5+ years of product development experience is required. A minimum of 4 years of hands‑on experience in new product research and development in a cGMP‑regulated industry is required (work experience in the Medical Device field is strongly preferred). Adept experimentalist with hands‑on experience in product development of medical devices and their safety/efficacy characterization in an R&D environment. Experience gathering user needs, translating them to technical inputs, and developing viable V&V (Design Verification and Validation) plans. Experience leading complex product development initiatives from concept through product launch/release. Good working knowledge of anatomy and surgical procedures is required. Demonstrated ability to solve difficult technical problems and deliver practical solutions that meet the application requirements is required. This includes strong analytical, problem‑solving, and decision‑making skills with the ability to be observant and to think creatively. Demonstrated ability to design experiments and analyze data with appropriate quality and statistical methodologies. Demonstrated ability to work independently as well as effectively be a strong team contributor and work cross‑functionally to expedite the completion of critical project tasks. Ability to handle multiple project assignments of medium scope and complexity and able to prioritize and complete work with a sense of urgency in a timely manner. Ability to lead directly and by influence, including strong problem‑solving, conflict resolution, and analytical skills. Requires strong leadership skills, excellent written and verbal communication and presentation skills. Working knowledge of FDA requirements as per 21 CFR 820, ISO 9001, ISO 13485:2003, and ISO 14971:2007. Working knowledge of Good Documentation Practices (GDP), and Good Manufacturing Practices (cGMP). Good understanding of statistical tools and validation/verification techniques. Proficiency in the use of Microsoft Excel, Microsoft Word, and Microsoft PowerPoint is required. Legal authorization to work in the United States is required. Preferred Qualifications An advanced degree (MS or Ph.D.) is strongly preferred. Hands‑on experience in product development with Class II and Class III medical devices. Experience developing test methods and protocols/reports for safety and efficacy testing of implant and instrument designs. Experience with IDE and PMA submissions. Six‑Sigma green belt or black belt certification. EEO Statement Cresilon is an equal‑opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Cresilon makes hiring decisions based solely on qualifications, merit, and business needs at the time. Competitive annual base salary range of $100,000 - $160,000, depending upon job level and qualifications. Paid Vacation, Sick, & Holidays. Monthly MetroCard Reimbursement. 401(k) & Roth Retirement Savings Plan with company match up to 5%. Work/Life Employee Assistance Program. Company Paid Life and Short‑Term Disability Coverage. Medical, Dental, and Vision Insurance, FSA: Dependent & Healthcare, Commuter & Parking Benefits, Long Term Disability Coverage. #J-18808-Ljbffr

A biotechnology company in Brooklyn, New York, is seeking an R&D Engineer I/II to support product design and process development. The ideal candidate will have a BS in Chemical Engineering and 4+ years of experience in polymer product/process development. Responsibilities include overseeing experiments, creating development plans, and collaborating across teams. The position offers diverse opportunities in ensuring compliance with quality and regulatory standards. Benefits include a competitive salary, paid vacation, and comprehensive health insurance. #J-18808-Ljbffr

A leading AI solutions provider is seeking a Solutions Engineer to drive the adoption of their platform within innovative startups. This role involves architecting AI workflows, leading hands-on implementations, and creating technical resources for self-service innovation. The ideal candidate will have over 5 years of experience in a solutions engineering role with a strong grasp of B2B SaaS ecosystems. You'll work closely with customers to automate their operations and shape the product roadmap. #J-18808-Ljbffr

A leading healthcare technology company is seeking a Staff Machine Learning Engineer to architect and maintain critical data infrastructure for its advanced AI models. This role involves managing multimodal data processing and optimizing large-scale data pipelines. Ideal candidates will have 8+ years of experience and a Master's degree in a related field. The position is based in Chicago and offers a salary range of $170,000 - $210,000. #J-18808-Ljbffr

**Experience in front-end Systems Engineering design & development deliverables around requirements, risks & architecture. **Ability to work independently and cross-functionally with many different groups to solicit needs and complete trade off analyses **Experience in a regulated medical device industry The Position: Tissue Diagnostics is seeking a Systems Engineer to drive product definition, including requirements, system architecture design, risk analysis, and solution implementation to meet IVD standards. This role focuses on advancing cancer diagnostics through state-of-the-art testing automation, providing over 250 cancer tests and associated instruments globally. Responsibilities: --System Lifecycle Management: Apply Systems Engineering to product definition, requirements, risk analysis, and testing. --Project Execution: Manage requirements, risk analysis, and verification/validation. --Industry and Technology Analysis: Research trends, emerging technologies, and competitive products' differentiation. --Cross-functional Collaboration: Work with R&D, Marketing, Operations, Quality, and Regulatory teams to ensure alignment. --Customer-Focused Innovation: Engage with business leaders and VoC representatives to align technical solutions with customer needs. --Technical Problem Solving: Analyze complex technical challenges, present solutions, and facilitate informed decision-making. Who You Are: --Educational Background: Bachelor's degree in Engineering, Biomedical Sciences, or related technical field with 4 years of experience (or Master's with 2 years, or PhD). --Systems Engineering Expertise: Demonstrated knowledge in systems and hardware integration and testing, including requirements engineering, tradeoff analysis, risk management, and verification/validation using tools like RETINA --Regulatory Familiarity: Experience in a regulated environment, familiar with FDA, ISO, and other relevant diagnostic product standards. --Strategic Mindset: Interest in innovative technologies and understanding of the IVD competitive landscape. Preferred: --Specialized Skills: Deep knowledge in reliability, manufacturability, and usability. --Leadership and Communication: Proven ability to build authority and accountability within a team, with strong collaboration and communication skills. --Organizational Skills: Excellent organizational skills, capable of evaluating, prioritizing, and managing multiple projects efficiently.

We are seeking a highly motivated System Engineer to join our End-to-End Solution Integration Chapter supporting Next-Generation Diagnostic Solutions. In this hands-on role, you will support development, testing, and integration of complex multi-disciplinary systems including instrument and software components. This role is ideal for a systems-minded engineer with direct industry experience in diagnostics solutions, strong software testing skills, and the ability to influence cross-functional projects without formal people management responsibilities. Key Responsibilities Perform hands-on system level integration testing and troubleshooting. Plan, design and execute verification and validation (V&V) test cases to ensure comprehensive coverage of requirements. Analyze test results for accuracy, validity, and relevance to user needs. Support post-launch troubleshooting and field investigations through failure mode and root cause analyses. Work with cross-functional project teams on key topics such as requirements management, defect management, system integration, etc. Contribute to system documentation, including requirements, specifications, integration plans, and verification results. Identify and lead opportunities for workflow simplification, automation, and continuous improvement. Qualifications We are hiring a System Engineer with majors in Systems Engineering, Biomedical Engineering, Electrical Engineering, Computer Science. The final compensation will be determined by the candidate's experience and qualifications. Minimum Bachelor's degree with 3+ years of relevant industry experience. Strong instrument and software troubleshooting skills with the ability to work independently. Experience in Software testing automation is a plus Scripting/programming experience (Python, or equivalent) Excellent written and verbal communication skills to influence cross-functional stakeholders. Who You Are You are a fast learner who thrives at the interface of biology, technology, and data. You want to translate complex scientific workflows into reliable, scalable system solutions. You are collaborative, curious, and driven to make an impact across diverse disciplines, and are comfortable operating as an individual contributor with broad cross-functional influence. ONSITE POSTION l 5 days a week Interview: 1 phone screening 2. Onsite May do an occasional travel to the Santa Clara jobsite for training etc.

Adapt is the AI computer for business. Our mission is to help every company become instantly AI native through providing the most powerful and accessible experience for every job function to collaborate with frontier agents. Everyone in the company - from sales to marketing to business operations - can use Adapt to answer questions, build on-demand dashboards, automate workflows, or build entire applications using the context of their business and the best intelligence available. About the Role The Forward Deployed Engineer ensures companies can instantly become AI-native using Adapt. They act as technical thought partners to operators, helping them design and deploy complex workflows that automate their most critical business processes. They bridge the gap between our platform's capabilities and our customers' unique operational needs. We are seeking a product-minded Engineer to accelerate the adoption of Adapt within the startup ecosystem. You will work with some of the world's most innovative companies, guiding them from initial onboarding to full-scale automation of their operations. You will not just support the product-you will architect the "Ask, Understand, Act" workflows that allow lean teams to punch above their weight. You will collaborate closely with Sales, Product, and Engineering to deliver high-fidelity feedback from the field, shaping the future of our universal intelligence platform. In this role, you will: Architect AI Workflows: Partner with startup founders to map their manual processes and translate them into automated Adapt workflows across tools like Linear, Salesforce, and Snowflake. Drive Technical Success: Lead hands‑on implementation sessions, ensuring customers successfully connect their data sources and achieve "instant action" capabilities. Scale the Ecosystem: Create repeatable playbooks, template libraries, and technical guides that enable the broader startup community to self‑serve and innovate on Adapt. Shape the Product: Synthesize technical requirements and edge cases from early‑stage customers to drive prioritization in the Product and Engineering roadmaps. Build Custom Solutions: Prototype and deploy custom connectors or scripts to solve novel customer challenges, demonstrating what's possible with the Adapt platform. You'll thrive in this role if you: Have 5+ years of experience in Software Engineering. Have a deep understanding of the B2B SaaS stack (CRM, Data Warehouses, DevTools) and how they interoperate. Are a "builder" who loves hacking on new tools and automating your own workflows. Can communicate complex technical concepts to both engineering leaders and non‑technical founders. Operate with high urgency and thrive in an ambiguous, fast‑paced startup environment. #J-18808-Ljbffr