Sr/Staff ML Engineer, Manipulation
Diligent RoboticsSalary not specified
Full Time
Senior (5 to 8 years), Expert & Leadership (9+ 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 Electrical 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 PCBAs for complex electromechanical systems
- Expert proficiency with PCB design tools, specifically Altium, for schematic capture and layout
- Proven track record of developing high-speed communication systems (e.g., Ethernet, PCIe) and power regulation systems for high-performance computing or robotics
- Broad experience across analog and digital design, with the ability to develop firmware for embedded systems
- Preferred Qualifications
- Proficiency in Python, LabView, or MATLAB for automation and testing
- Proficiency in Linux, including experience building kernels or writing device drivers
- Experience with small team leadership or technical project management
- Experience with Verilog or VHDL for advanced hardware design and simulation
- Experience with wire harness design for high-vibration environments
- Experience with high-density interconnects, flex, and rigid-flex board designs
- Familiarity with SolidWorks or comparable
Responsibilities
- Rapid Electronics Design: Develop electrical systems that power and control advanced mobile robots, specifically focusing on the rapid development of prototype electronics relevant to small, high-density applications typical in robot end effectors
- Motor Drive Development: Design and validate custom motor drive circuitry, applying fundamental knowledge of commutation and control theory to optimize the performance of high-density robotic actuators
- Advanced PCB Architecture: Create detailed schematics and PCB layouts using Altium, ensuring the designs meet the performance, reliability, and manufacturability standards required for complex robotics hardware
- Embedded Systems & Firmware: Operate as a general-purpose engineer across analog and digital domains, writing firmware in C/C++ and HDL to program microcontrollers and FPGAs to ensure optimal performance of embedded designs
- High-Speed Communication Implementation: Design and integrate high-speed data technologies such as Ethernet, PCIe, and EtherCAT into PCB-based devices, ensuring robust communication protocols are maintained across the system
- Circuit Analysis & Validation: Use strong circuit analysis fundamentals and lab equipment (oscilloscopes, spectrum analyzers) to review electrical designs, conduct failure analysis, and troubleshoot complex electrical systems
- Electromechanical Integration: Collaborate across teams to integrate electrical systems with robotics hardware, including the design and specification of connectors and wire harnesses to ensure seamless operation in dynamic environments
Skills
Electrical Engineering
PCB Design
Altium
Motor Drive
Commutation
Control Theory
Embedded Systems
Firmware
Analog Design
Prototype Electronics
Schematics
Robotics Hardware
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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