Senior Systems Engineer, Gemini Robotics at DeepMind

Cambridge, Massachusetts, United States

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, RoboticsIndustries

Requirements

Master’s degree or PhD in Robotics, Mechanical Engineering, Electrical Engineering, or a related field, with a specific focus on robotic manipulation or complex electromechanical systems
10+ years of experience defining system architectures, executing complex trade studies, and driving hardware strategies from concept to validation
Proven track record of effectively synthesizing complex technical data into clear written narratives to build consensus and seek alignment across audiences and executives
Proven track record of first-principles approach to engineering, with the ability to go from the fundamentals of physics and control theory to building and evaluating novel multimodal technologies
Preferred Qualifications
Strong knowledge of robotic system design, including kinematics, dynamics, control algorithms, and perception systems
Experience in hardware-software co-design for multi-modal sensing; adept at optimizing compute architectures for real-time local processing (FPGA/MCU) and high-level decision-making
Familiarity with AI/ML integration, sensor fusion, and autonomous decision-making systems
Familiarity with system simulation

Responsibilities

Multi-Modal Trade Studies: Directed complex trade studies across competing physics domains (e.g., optical, acoustic, electromagnetic) to define sensor architectures for high-ambiguity, cutting-edge applications
Strategic Hardware Definition: Synthesized data from prototype testing and theoretical modeling to down-select sensing modalities for unprecedented use-cases, resolving high-level system ambiguity
Complex Decision Making: Orchestrated the selection of sensor suites for frontier applications, systematically eliminating options through rapid prototyping to identify viable paths beyond current industry standards
Advanced Systems Modeling: Construct dynamic models using expert-level numerical tools (e.g., MATLAB, Python) to analyze first-principle physics, optimizing performance across friction, actuation, and thermal domains
Systems Engineering & Integration: Drive the full lifecycle of requirements generation and Interface Control Documents (ICDs), proactively resolving integration conflicts to ensure seamless operation across hardware and software boundaries
Rapid Prototyping & Validation: Execute hands-on evaluation of emerging technologies within agile teams, validating theoretical performance through physical testing to accelerate technology readiness and adoption
Cross-Domain Leadership: Navigate seamlessly across diverse software and hardware domains to distill complex technical analyses into clear strategies, facilitating alignment among stakeholders and executive leadership
Regulatory Compliance: Integrate critical industry standards (e.g., ISO/TS 15066, ANSI/RIA R15.08) into the design architecture to ensure safety and certification readiness for manufacturing and consumer environments

Skills

MATLAB

Python

Systems Engineering

Robotics

Sensor Architectures

Physics Modeling

Prototyping

Requirements Generation

Numerical Modeling

Hardware Integration

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

Senior Systems Engineer, Gemini Robotics at DeepMind

Requirements

Responsibilities

Skills

DeepMind

About DeepMind

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.

Technical Lead

Staff Integration Engineer

Technical Program Manager