Akkodis is seeking an Sr.Physical AI engineer in San Francisco Bay Area. Ideally, looking for someone who has minimum of 3 years’ experience in Robotics, Digital Twin, and Computer Vision/Deep Learning/Reinforcement Learning.
Rate Range: $100/hour -$130/hour on W2; The rate may be negotiable based on experience, education, geographic location, and other factors.
Responsibilities:
• Developing and implementing scalable demos that highlight the integration of software and hardware in Physical AI applications.
• Conduct analytics and monitor market trends to inform solution development, identify emerging opportunities, and position the teams capabilities strategically within the evolving Physical AI landscape.
• Leading development in robotics, focusing on kinetics, perception, and decision making to enhance operational efficiency and safety.
• Collaborating with a variety of stakeholders to understand requirements and provide technical leadership throughout the project lifecycle.
Skills and Attributes for Success
To thrive in this role, you will need a combination of technical expertise and strong interpersonal skills.
Required Skills:
• A Bachelors degree in a relevant field (e.g., Robotics, Computer Science, Mechanical Engineering, Electrical Engineering).
• 3-6 years of full-time working experience in Robotics, Digital Twin, and Computer Vision/Deep Learning/Reinforcement Learning.
• Proven experience in developing and implementing scalable AI systems that integrate software and hardware components effectively.
• Strong proficiency in programming languages such as Python, C++, or Java, with hands-on experience in robotics frameworks (e.g., ROS) and simulation environments (e.g., Isaac Sim).
• Extensive knowledge of the NVIDIA ecosystem, including experience with their offerings and implementation strategies for robotics and AI applications.
• Solid understanding of robotic systems, including kinematics, dynamics, control algorithms, and sensor integration (e.g., LIDAR, cameras).
• Familiarity with machine learning techniques and algorithms, particularly in the context of robotics, automation, and decision-making processes.
• Experience designing, building, and maintaining robotics systems and digital twin models, with a focus on real-time data integration and simulation.
• Proficiency in using data manipulation and analysis tools (e.g., Pandas, NumPy) to derive insights from sensor data and simulations, along with experience in popular ML frameworks such as TensorFlow or PyTorch.
• Experience with DevOps tools (e.g., GIT, Azure DevOps) and Agile methodologies (e.g., Jira) to develop and deploy analytical solutions with multiple features, pipelines, and releases.
• Excellent communication skills to clearly convey findings, recommendations, and opportunities for improvement to clients and team members.
• Willingness to travel as needed to engage with clients and stakeholders.
For other opportunities available at Akkodis, go to www.akkodis.com
If you have questions about the position, please contact Mohammed Irfan Murtuza at irfan.murtuza@akkodisgroup.com
Equal Opportunity Employer/Veterans/Disabled
Benefit offerings available for our associates include medical, dental, vision, life insurance, short-te
rm disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client.
To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy.
The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:
· The California Fair Chance Act
· Los Angeles City Fair Chance Ordinance
· Los Angeles County Fair Chance Ordinance for Employers
· San Francisco Fair Chance Ordinance
