AI Engineer Robotics/Automation
BCforwardAbout the role
Title: AI Engineer Robotics/Automation
Location: Redmond, WA
Duration: 12 Months (Potential chances for extension)
Job Description:
Typical Day in the Role:
Purpose of the Team: Our team is working on advancing the state of the art in robotic learning and foundation models.
Candidate Requirements:
Disqualifiers: Candidates with employment gaps will not be eligible for the role.
Best vs. Average: The ideal resume would contain PHD level work or studies in a robotics lab
The main function of an AI Engineer- Robotics is to be responsible for creating, deploying, and maintaining AI and machine learning models. This specific role will be in support of Embodied AI and Robotics research.
Job Responsibilities:
Fine-tune and improve a variety of sophisticated software implementation projects
Architect, design and implement our test automation infrastructure.
Develop training and evaluation pipelines using Azure Machine Learning
Analyze and refine training datasets for robotic and AI applications
Develop tools to provide fast deployment of novel algorithms in simulation and on hardware.
Integrate robotic control and perception stacks with simulation frameworks
Qualifications:
Master’s degree in a technical field such as computer science, computer engineering or related field required
5-7 years of related experience required
A solid foundation in computer science, with strong competencies in data structures, algorithms, and software design
Experience with using simulation environments or robotic hardware
Experience performing in-depth troubleshooting and unit testing with both new and legacy production systems
Experience in programming and experience with problem diagnosis and resolution
Background in machine learning frameworks such as TensorFlow or PyTorch
Typical day in role:
A typical day would include integrating a new simulation or robotic arm with our robotic learning framework by adapting our server/client code to the new API. Followed by collecting and converting demonstrations in that environment into the correct format for training a model. Finally launch finetuning runs of our internal VLAs and baseline external VLAs to be evaluated the next day.
Top hard skills:
Python – 5 years
Pytorch – 2 years
ROS2 – 1 year
Responsibilities
- Fine-tune and improve a variety of sophisticated software implementation projects
- Architect, design and implement our test automation infrastructure
- Develop training and evaluation pipelines using Azure Machine Learning
- Analyze and refine training datasets for robotic and AI applications
- Develop tools to provide fast deployment of novel algorithms in simulation and on hardware
- Integrate robotic control and perception stacks with simulation frameworks
Qualifications
- Master’s degree in a technical field such as computer science, computer engineering or related field required
- 5-7 years of related experience required
- A solid foundation in computer science, with strong competencies in data structures, algorithms, and software design
- Experience with using simulation environments or robotic hardware
- Experience performing in-depth troubleshooting and unit testing with both new and legacy production systems
- Experience in programming and experience with problem diagnosis and resolution
- Background in machine learning frameworks such as TensorFlow or PyTorch
Skills mentioned
About BCforward
BCforward is a global technology and solutions company helping organizations move business forward through talent, technology, and transformation. Founded in 1998 and headquartered in Indianapolis, BCforward partners with enterprise and public sector organizations across the United States, Canada, India, and global markets. For more than 25 years, we have helped clients navigate change, strengthen operations, and deliver mission-critical initiatives by bringing together the right people, expertise, and technology. Our capabilities span four integrated areas: • Talent + Workforce Solutions • AI + Technology Solutions • Advisory + Transformation • Global Delivery + Managed Services From individual talent and scalable teams to complex technology programs and outcome-based solutions, BCforward offers flexible delivery models designed around each client’s goals. We help organizations build high-performing teams, modernize operations, adopt emerging technologies, and execute with greater speed, agility, and confidence. Our experience extends across financial services, healthcare, government, life sciences, technology, energy and utilities, manufacturing, retail, and other highly complex industries. As one of the largest minority-owned technology and workforce solutions companies in the United States, BCforward is committed to creating opportunity, delivering measurable value for our clients, and building meaningful careers for the people shaping what’s next.