1453 Clinical Biotech jobs in Dallas,TX

Your Amazon package will include sign-on payments and restricted stock units (RSUs).

The base salary range for this position is listed below.

USA, CA, San Francisco - 176,600.00 - 239,000.00 USD annually

USA, GA, Atlanta - 153,600.00 - 207,800.00 USD annually

USA, IL, Chicago - 153,600.00 - 207,800.00 USD annually

USA, MA, Boston - 153,600.00 - 207,800.00 USD annually

USA, NY, New York - 169,000.00 - 228,600.00 USD annually

USA, TN, Nashville - 145,900.00 - 197,400.00 USD annually

USA, TX, Dallas - 153,600.00 - 207,800.00 USD annually

USA, VA, Arlington - 153,600.00 - 207,800.00 USD annually

USA, WA, Bellevue - 153,600.00 - 207,800.00 USD annually

You'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D; insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.

Bachelor's degree in computer science, engineering, mathematics or equivalent

5+ years of cloud architecture and solution implementation experience

Experience in a customer-facing role, engaging with customer executives, technologists or partners to solve business problems with advanced technologies

7+ years of experience building solutions for IoT, robotics, simulation, autonomous systems, or edge computing in industrial or supply chain environments

3+ years of experience implementing Physical AI or robotics projects including at least one of: digital twin environments, robotic policy training, discrete event simulation, or autonomous vehicle/system deployment

AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)

AWS Professional level certification or graduate degree in robotics, engineering, computer science, or related field

Experience architecting Physical AI systems using simulation platforms (NVIDIA Omniverse, Isaac Sim) and AWS services (SageMaker, IoT Greengrass, VAMS) for robotic model training and digital twin deployment

Experience with generative AI and agentic workflows applied to industrial automation, including architecture design, model integration, and synthetic data generation

Familiarity with OpenUSD (Universal Scene Description), computer vision, and robotics safety engineering standards