Project Engineer jobs at CHA Health Systems - 2743 jobs

About Pathway At Pathway we are shaking the foundations of artificial intelligence by introducing the world's first post-transformer model that adapts and thinks just like humans. Our breakthrough architecture outperforms Transformer and provides the enterprise with full visibility into how the model works. Combining the foundational model with the fastest data processing engine on the market, Pathway enables enterprises to move beyond incremental optimization and toward truly contextualized, experience-driven intelligence. We are trusted by organizations such as NATO, La Poste, and Formula 1 racing teams. Pathway is led by co-founder & CEO Zuzanna Stamirowska, a complexity scientist who created a team consisting of AI pioneers, including CTO Jan Chorowski who was the first person to apply Attention to speech and worked with Nobel laureate Geoff Hinton at Google Brain, as well as CSO Adrian Kosowski, a leading computer scientist and quantum physicist who obtained his PhD at the age of 20. The company is backed by leading investors and advisors, including Lukasz Kaiser, co-author of the Transformer (“the T” in ChatGPT) and a key researcher behind OpenAI's reasoning models. Pathway is headquartered in Palo Alto, California. The Opportunity This is an R&D position in attention-based models. We are currently searching for 1 or 2 R&D Engineers with a strong track record in machine learning models research. This is an extremely ambitious foundational project. There is a flexible GPU budget associated with this specific project, guaranteed to be in the 7-digit range minimum. You Will perform (distributed) model training. help improve/adapt model architectures based on experiment results. design new tasks and experiments. optionally: oversee activities of team members involved in data preparation. The results of your work will play a crucial role in the success of the project. Cover letter It's always a pleasure to say hi! If you could leave us 2-3 lines, we'd really appreciate that. You are expected to meet at least one of the following criteria: You have published at least one paper at NeurIPS, ICLR, or ICML - where you were the lead author or made significant conceptual & code contributions. You have significantly contributed to an LLM training effort which became newsworthy (topped a Huggingface benchmark, best in class model, etc.), preferably using multiple GPU's. You have spent at least 6 months working in a leading Machine Learning research center (e.g. at: Google Brain / Deepmind, Apple, Meta, Anthropic, Nvidia, MILA). You were an ICPC World Finalist, or an IOI, IMO, or IPhO medalist in High School. You Are A deep learning researcher, with a track record in Language Models and/or RL (candidates with a Vision or Robotics ML background are also welcome to apply). Interested in improving foundational architectures and creating new benchmarks. Experienced at hands-on experiments and model training (PyTorch, Jax, or Tensorflow). Have a good understanding of GPU architecture, memory design, and communication. Have a good understanding of graph algorithms. Have some familiarity with model monitoring, git, build systems, and CI/CD. Respectful of others Fluent in English Bonus Points Knowledge of approaches used in distributed training. Familiarity with Triton Successful track-record in algorithms & data science contests. Showing a code portfolio. Why You Should Apply Join an intellectually stimulating work environment. Be a pioneer: you get to work with a new type of "Live AI" challenges around long sequences and changing data. Be part of one of an early-stage AI startup that believes in impactful research and foundational changes. Type of contract: Full-time, permanent Preferable joining date: Immediate. The positions are open until filled - please apply immediately. Compensation: six-digit annual salary based on profile and location + Employee Stock Option Plan. Location: Remote work. Possibility to work or meet with other team members in one of our offices: Palo Alto, CA; Paris, France or Wroclaw, Poland. Candidates based anywhere in the EU, UK, United States, and Canada will be considered. If you meet our broad requirements but are missing some experience, don't hesitate to reach out to us. #J-18808-Ljbffr

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.

Nimble is an AI robotics company building the autonomous supply chain to enable fast, efficient, and sustainable commerce. We're developing a general-purpose robot AI and a warehouse generalist superhumanoid robot, the first robot in the world capable of performing all core warehouse functions. We recently closed a $106M Series C at a $1B valuation, and we are continuing to grow our world‑class team. Mission: to empower and inspire mankind to accomplish legendary feats by inventing robots that liberate us from the menial. Vision: invent the Autonomous Supply Chain - everything from the inside of factories and warehouses to your front door - powered by industry‑generalist superhumanoids to deliver faster, more efficient, and more sustainable commerce. Proudly led by founders from Stanford and Carnegie Mellon and a board featuring Marc Raibert (founder of Boston Dynamics), Sebastian Thrun (founder of GoogleX, Waymo), and Fei‑Fei Li (Chief Scientist of AI at Google). Join us and leave your mark on the future of robotics, AI, and global commerce. Core Values Be relentlessly resourceful - Challenge conventions and overcome obstacles. Be legendary - Be the very best and do work that inspires. Be humble - Prioritize growth, learning, and doing whatever is needed to further the mission. Be dependable - Take ownership and deliver with high agency. About the Role You will own the development and architecture of our next‑generation robotics diagnostic system, which is crucial for improving the reliability and maintainability of the robotic fleet. This system must proactively detect and surface anomalies across the entire robot stack-from low‑level firmware glitches to complex hardware failures-either automatically during operation or upon manual trigger. You will be the architect of the diagnostic data structure, translating complex sensor readings and error logs into actionable, easy‑to‑read health reports that accelerate root cause analysis for engineering, manufacturing, and support teams. This role requires tight collaboration with our Embedded Software and Infrastructure teams, and the Operations team to build a robust, scalable data pipeline. Key Responsibilities Design, implement, and maintain the on‑robot diagnostic framework, enabling both autonomous background checks and on‑demand manual diagnostic scans. Define the diagnostic data schema, ensuring efficient, standardized, and human‑readable reporting of fault codes, event logs, and status checks. This data structure must be scalable and optimized for use by both on‑robot systems and cloud‑based analytics tools. Work closely with embedded software and hardware teams to develop sophisticated diagnostic routines that surface hardware issues, abnormal sensor behavior (e.g., drift, noise, and communication failures), motor anomalies, and transient firmware glitches. Collaborate with the Infrastructure team to architect and build the data pipeline responsible for reliably collecting, storing (e.g., S3 or data lake), and processing high volumes of diagnostic data from the robot fleet. Ensure diagnostics generate clear, prioritized, and contextualized reports that summarize the state of the robot, enabling engineers to quickly understand the root cause of an abnormality without extensive log diving. Qualifications BS or MS in Computer Science, Electrical Engineering, Robotics, or a related technical discipline. 3+ years of professional experience in developing diagnostics, monitoring, or telemetry systems for complex electro‑mechanical devices, robotics, or embedded systems. Proficiency in software development (e.g., C++, Python) with specific experience in writing testable, robust code for embedded environments or robotics middleware. Experience with data structuring, schema design, and working with data ingestion pipelines (e.g., utilizing message queues, time‑series databases, or cloud data storage). Deep understanding of common robotics hardware and firmware failure modes, including motor control systems, sensor interfaces (e.g., CAN, I2C, Serial, USB), and power management systems. Technical triaging skills, familiarity with Ishikawa diagram are big plus. Familiarity with interpreting hardware schematics and leveraging low‑level system logs to identify failure points. Salary and Equity $145,000 - $190,000 a year. The range above is the salary range. This position will also receive generous equity. Culture We embrace challenges and strive to make the impossible possible each day. We're not in this to do what's easy or to be mediocre. We want to create something legendary and leave our mark on the world. We're ambitious, we're gritty, we're humble and we're relentlessly resourceful in pursuit of our goals. If this sounds like you then you might be a great fit! Nimble Robotics, Inc. is an equal opportunity employer. We make all employment decisions based solely on merit. We provide equal employment opportunity to all applicants and employees without discrimination on the basis of race, color, religion, national origin, ancestry, disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, sexual orientation, age, military or veteran status, or any other characteristic protected by applicable state, federal or local laws. Nimble's Benefits Paid Time Off - Enjoy the time you need to travel, rejuvenate, and connect with friends and family. Health Insurance - Nimble provides medical, dental, and vision insurance through several premier plans and options to support you and your family. Paid Parental Leave - Enjoy paid bonding time following a birth. Commuter Benefits - Take the stress out of commuting with access to fully‑paid parking spots. Referral Bonus - Get a cash bonus for any friend or colleague that you refer to us that we end up hiring. 401k - Contribute towards a 401k for retirement planning. Equity - Be an owner in Nimble through our equity program. #J-18808-Ljbffr

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

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

Our Goals At Farcast, we aim to improve global prosperity. We achieve this goal by building innovative products that enable access to information. Satellite internet is one of the most important ways to achieve this goal and to provide global connectivity coverage. However, the capacity of satellite internet services is limited by the quality and affordability of the devices consumers use to connect to satellites. These devices are called “user terminals”. Our mission is to bring unprecedented innovation to the user terminal industry. We believe our innovation will be key in making satellite internet accessible to everyone. Please join us if your goals align with ours! Responsibilities Design schematic and layout of mixed-signal, power, and digital circuitry for RF applications. Contribute to system architecture decisions, including power networks, thermal management, and component selection. Successful delivery of PCB/PCBA builds using HDI technology Develop and execute PCBA test plans with an emphasis on IEC compliance and reliability across environmental conditions. Required Experience Strong working knowledge and experience with schematic capture and layout of high-density PCBs in Orcad or Allegro Working knowledge of Signal Integrity, Power Integrity 5+ years of hands-on experience in board-level design, bring-up, manufacturing, and testing Experience with DFM/DFT/DFX Experience with IPC standards for PCB manufacturing, assembly, and test Established track record of designing and releasing electronics into production, ensuring manufacturability and cost efficiency Demonstrated experience with general EE test equipment Education Bachelor's in Electrical Engineering, MS is preferred What Makes You Stand Out Previous experience with HDI in high-reliability electronics Working knowledge of RF design principles, including transmission line theory and practical implementation in PCB layout. Experience in testing complex digital, power, and RF systems, including active antenna modules or phased arrays Experience in regulated industries such as aviation or the automotive fields Base Salary Range Compensation includes a competitive base salary as part of a comprehensive package tailored to the candidate's experience and background. $140,000 - $170,000 a year Offered Benefits Meaningful company stock ownership Unlimited PTO plus 20+ days of company shutdown Parental leave designed by parents for parents 401k with 5% company matching $6,000 annual wellness perk Individualized health, dental, and vision insurance plans for you and your family In-Person Requirement All employees are expected to be at the office, in person, for a minimum of two days per week Export Control Requirement To comply with U.S. Government space technology export regulations, all applicants and employees must hold U.S. citizenship, lawful permanent residency, or protected status as defined by 8 U.S.C. 1324b(a)(3) Diversity and Inclusion Farcast is proud to be an equal opportunity workplace We celebrate diversity and are committed to creating an inclusive environment for all employees We do not discriminate on the basis of race, religion, color, gender identity, sexual orientation, age, disability, veteran status, or other applicable legally protected characteristics We encourage people of different backgrounds, experiences, abilities, and perspectives to apply. Studies have shown that marginalized communities are less likely to apply for jobs unless they meet every single qualification. If you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to consider still applying. Note to Recruiters Farcast does not accept unsolicited resumes from recruiters or staffing agencies Please do not forward resumes to Farcast employees Farcast is not responsible for any fees for unsolicited resumes or candidates submitted by agencies #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

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

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

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 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

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

Mentor Technical Group (MTG) provides a comprehensive portfolio of technical support and solutions for the FDA-regulated industry. As a world leader in life science engineering and technical solutions, MTG has the knowledge and experience to ensure compliance with pharmaceutical, biotechnology, and medical device safety and efficacy guidelines. With offices in Caguas, PR, Boston, MA & San Francisco, CA and we serve life sciences clients in six global markets: United States, Puerto Rico, Dominican Republic, Mexico, Germany, Canada, and South America. Responsibilities Engineering Experience in Medical Device Industry Problem Solving Knowledge (Yellow or Green Belt knowledge) Responsibilities may include the following and other duties may be assigned. Designs manufacturing processes, procedures and production layouts for assemblies, equipment installation, processing, machining and material handling. Designs arrangement of machines within plant facilities to ensure most efficient and productive layout. Designs sequence of operations and specifies procedures for the fabrication of tools and equipment and other functions that affect product performance. Adapts machine or equipment design to factory and production conditions. May incorporate inspection and test requirements into the production plan. Inspects performance of machinery, equipment, and tools to verify their efficiency, and investigates and initiates corrective action of problems and deficiencies to ensure product quality. Develops manufacturing processes that are applicable to statistical process control, and may develop those techniques. Provides guidance to engineering regarding design concepts and specification requirements to best utilize equipment and manufacturing techniques. Ensures processes and procedures are in compliance with regulations. Qualifications Requirements/Knowledge/Education/Skills BBA in Engineering Knowledge in CSV Problem Solving Knowledge (Yellow or Green Belt knowledge) Mentor Technical Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, protected veteran status, disability status, or any other characteristic protected by law. #J-18808-Ljbffr

A leading technical solutions provider is seeking an engineer specialized in the medical device industry. The role involves designing manufacturing processes and ensuring compliance with safety regulations. Candidates should have a BBA in Engineering, knowledge in CSV, and problem-solving skills (Yellow or Green Belt). The position offers an opportunity to work with innovative technologies in a dynamic environment located in Caguas, Puerto Rico. #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 technical solutions provider is seeking an engineer specialized in the medical device industry. The role involves designing manufacturing processes and ensuring compliance with safety regulations. Candidates should have a BBA in Engineering, knowledge in CSV, and problem-solving skills (Yellow or Green Belt). The position offers an opportunity to work with innovative technologies in a dynamic environment located in Caguas, Puerto Rico. #J-18808-Ljbffr

Mentor Technical Group (MTG) provides a comprehensive portfolio of technical support and solutions for the FDA-regulated industry. As a world leader in life science engineering and technical solutions, MTG has the knowledge and experience to ensure compliance with pharmaceutical, biotechnology, and medical device safety and efficacy guidelines. With offices in Caguas, PR, Boston, MA & San Francisco, CA and we serve life sciences clients in six global markets: United States, Puerto Rico, Dominican Republic, Mexico, Germany, Canada, and South America. Responsibilities Engineering Experience in Medical Device Industry Problem Solving Knowledge (Yellow or Green Belt knowledge) Responsibilities may include the following and other duties may be assigned. Designs manufacturing processes, procedures and production layouts for assemblies, equipment installation, processing, machining and material handling. Designs arrangement of machines within plant facilities to ensure most efficient and productive layout. Designs sequence of operations and specifies procedures for the fabrication of tools and equipment and other functions that affect product performance. Adapts machine or equipment design to factory and production conditions. May incorporate inspection and test requirements into the production plan. Inspects performance of machinery, equipment, and tools to verify their efficiency, and investigates and initiates corrective action of problems and deficiencies to ensure product quality. Develops manufacturing processes that are applicable to statistical process control, and may develop those techniques. Provides guidance to engineering regarding design concepts and specification requirements to best utilize equipment and manufacturing techniques. Ensures processes and procedures are in compliance with regulations. Qualifications Requirements/Knowledge/Education/Skills BBA in Engineering Knowledge in CSV Problem Solving Knowledge (Yellow or Green Belt knowledge) Mentor Technical Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, protected veteran status, disability status, or any other characteristic protected by law. #J-18808-Ljbffr

A leading biotech company is seeking a Senior Staff Engineer - Client Technology positioned in Alameda, California. This senior role involves overseeing IT platforms, driving product strategy, and delivering scalable solutions. Candidates should have extensive experience in technical leadership, strong scripting skills, and the ability to coordinate cross-functional initiatives. A competitive compensation package includes a salary range of $149,000 - $212,000 and comprehensive employee benefits. #J-18808-Ljbffr

Join Us: Begin Your Journey as a Hydraulic Engineer - Grow, Innovate, and Shape the Future of Bridge Engineering Are you eager to kickstart your engineering career by strengthening communities with safe, reliable, and forward-thinking bridge solutions? Do you excel in team environments where technical mastery and a commitment to quality are at the heart of every project? CHA Consulting, Inc. is seeking two Hydraulic Engineers to join our Bridge Team in Keene, NH; Burlington, MA; Hartford, CT; Albany, NY; Portland, ME; or working remotely. In this role, you'll contribute to the design, evaluation, and enhancement of essential bridge infrastructure. This is your chance to collaborate with seasoned professionals, make a meaningful impact from day one, and accelerate your professional development through hands-on experience. What You'll Do: Assist in the design, development, and implementation of technical solutions for bridge projects Support senior engineers in preparing technical reports, contract documents, and cost estimates Perform calculations and design tasks using industry standards, regulatory guidelines, and best practices for bridge safety and durability Join field assignments with senior staff to gain hands-on experience in bridge design, evaluation, and inspection What You Bring: Bachelor's degree in Civil, Water Resources, or Environmental Engineering required No experience required; however prior internships and/or relevant coursework are preferred Strong theoretical foundation and familiarity with engineering software (Revit, AutoCAD, MicroStation, etc.) Proficiency in Microsoft Office Excellent communication skills and a desire to work in a collaborative team Participation in professional engineering society/organization preferred Engineer-in-Training (EIT) certification a plus Why You'll Love It Here: Gain exposure to fieldwork and technical problem-solving in critical bridge infrastructure Flexible work environment with opportunities for local and occasional travel Make a real impact by helping deliver reliable, resilient, and sustainable transportation solutions to communities Curious about the impactful work our Bridge team is doing? Discover our innovative projects and commitment to sustainable solutions by visiting: chasolutions.com/solutions/transportation/. Salary Range: $74,000 - $78,000 Salary is based on a variety of factors, including, but not limited to, qualifications, experience, education, licenses, specialty, training, and fair market evaluation based on industry standards. Culture/EEO Statement: At CHA, we work every day to create solutions, help people, and improve our world, committed to creating and fostering excellence in our diverse and highly talented teams. Our teams continually strive to find better ways - always searching, never settling - to achieve extraordinary results. Our values around hiring, training, and community engagement reflect a company culture that is inclusive and forward leaning, always pushing the limits of what is possible. We as an organization celebrate the values of inclusion and equality, and advocate for the full participation of all people in an environment free of discrimination. To support these values, we invite all qualified applicants to be considered for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, age, disability, protected veteran status, or any other characteristic protected by law.