System Engineer – All Locations (Onsite)
SymboticSalary not specified
Full Time
Junior (1 to 2 years)
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Robotics, Artificial IntelligenceIndustries
Requirements
- Bachelor’s or Master’s degree in Mechanical Engineering or a closely related field
- 10+ years of experience in robotics or a similar field, with a specific focus on designing, building, and testing precision mechanisms for complex electromechanical systems
- Proven track record working in a company that has shipped complex software-enabled products incorporating compute, sensors, actuators, and structural components
- Expert proficiency with CAD design tools (e.g., SolidWorks, NX, CATIA) and PDM systems
- Strong understanding of GD&T drafting standards (ASME Y14.5) and tolerance analysis
- Extensive experience with high-performance materials and precision manufacturing processes
- Preferred Qualifications
- Proficiency designing custom gears, planetary gearboxes, or strain-wave actuation systems including KISSsoft or Romax for gearbox modeling and optimization
- Proficiency in simulation and analysis tools (FEA) for structural and thermal optimization
- Experience in advanced surface modeling for complex organic shapes
- Experience with the design and validation
Responsibilities
- Rapid Mechanical Design: Develop structural and kinematic systems that define the physical capabilities of advanced mobile robots, specifically focusing on the rapid development of prototype mechanisms relevant to dexterous manipulation
- Custom Actuator Development: Design and validate custom actuation systems, applying fundamental knowledge of transmission design, gear geometry, and tribology to optimize the performance of high-torque density robotic joints
- Advanced Surface Modeling: Utilize advanced surface modeling techniques to design complex end effectors and anthropomorphic structures, optimizing for both functional dexterity and industrial design form factors
- Precision Detailing & Documentation: Create detailed 3D models and 2D drawings using GD&T (ASME Y14.5), ensuring designs meet the performance, reliability, and manufacturability standards required for precision robotics hardware
- Electromechanical Integration: Collaborate across teams to integrate complex software-enabled subsystems within strict volume constraints, ensuring seamless operation in dynamic environments
- Material Selection & Validation: Leverage expertise in high-performance materials to balance strength, weight, and compliance. Conduct rigorous mechanical testing, failure analysis, and troubleshooting of complex mechanical systems using lab equipment
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the salary or compensation for this Staff Mechanical Engineer role?
This information is not specified in the job description.
Is this Staff Mechanical Engineer position remote or does it require office work?
This information is not specified in the job description.
What are the minimum qualifications for this role?
A Bachelor’s or Master’s degree in Mechanical Engineering or a closely related field is required.
What is the team culture like at Google DeepMind for this robotics role?
You will collaborate with a diverse, multi-functional team dedicated to advancing robotics through rapid hardware development and testing, working together with scientists, engineers, and machine learning experts.
What experience makes a strong candidate for this Staff Mechanical Engineer position?
A proven track record working in a company that has shipped complex software-enabled products including compute, sensing, actuation, and high performance structural components, along with creativity driven by curiosity and strong intuition.
DeepMind
Develops artificial general intelligence systems
About DeepMind
This company leads in the field of artificial general intelligence (AGI), with notable applications across healthcare, energy management, and biotechnology. Their work in early diagnostic tools for eye diseases, optimizing energy usage in major data centers, and groundbreaking contributions to protein structure prediction underlines their commitment to harnessing AI for diverse practical applications. The company's dedication to pushing the boundaries of AI technology not only propels the industry forward but also creates a dynamic and impactful working environment for its employees.
London, United KingdomHeadquarters
2010Year Founded
$4.9MTotal Funding
ACQUISITIONCompany Stage
AI & Machine Learning, BiotechnologyIndustries
1,001-5,000Employees
Benefits
Performance Bonus
Risks
Emerging AI models may challenge DeepMind's current strategies.
Backlash against AI models like Gemini poses reputational risks.
Labeling AI-generated content could increase operational complexity for DeepMind.
Differentiation
DeepMind combines AI, ML, and neuroscience for general-purpose learning algorithms.
DeepMind's AlphaFold model advances protein folding research significantly.
GraphCast by DeepMind offers rapid, accurate ten-day weather forecasts.
Upsides
AI-driven drug discovery is set to grow significantly in 2024.
AlphaCode 2 showcases AI's potential in competitive programming.
DeepMind's AI tools are transforming music creation and meteorology.
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