Software Engineer, Robotics Security at DeepMind

Mountain View, California, United States

DeepMind Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Robotics, AI, TechnologyIndustries

Requirements

  • Master’s degree or PhD in a related field or equivalent experience
  • 5 years of experience with software development in one or more programming languages
  • Strong C++ and Python development skills, including systems, API and tests design, performance analysis and optimization
  • Experience with developing, maintaining, debugging and optimizing in a large codebase and complex systems
  • Experience with API design, development, and building secure systems

Responsibilities

  • Design, implement, and optimize critical software components for our secure API ecosystem, including on-device APIs and SDKs
  • Develop and maintain the infrastructure for a large-scale developer API ecosystem, ensuring scalability, reliability, and security
  • Identify, implement, and enhance on-device security features to protect our models and user data in a rapidly evolving environment
  • Collaborate with security engineers, researchers, and product managers to define and implement a robust security posture for the entire platform
  • Partner closely with the GDM Security team to define security roadmaps for robotics agents and jointly drive innovation in this field

Skills

Software Development
Embedded Software
APIs
SDKs
Security
Scalability
Reliability
On-device Security
AI Agents
Robotics

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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