AI Jobs

Benefits:

• bonus

• equity

• benefits

Education Requirements:

• Bachelor degree in Optics or Physics

Experience Requirements:

• 7+ years of experience in a Manufacturing Engineering role.

Responsibilities:

• Define, build, document, train and maintain manufacturing assembly, integration and test processes and tooling for optical and opto-mechanical sub-systems to ensure they fulfill design intent, specifications and performance determined by engineering and design is successfully transferred to manufacturing.

• Provide manufacturing engineering input throughout the product life cycle, driving Design for Manufacturing (DFM), Failure Modes and Effects Analysis (FMEA) activities, supporting new product introduction (NPI) builds, and ensuring sustained production quality, process, and yield for Optics integration, alignment, testing and calibration at component, module and system level.

• Define and improve manufacturing procedures, make recommendations for design and/or manufacturing methods and coordinate projects which will result in economical manufacturing costs and enhanced quality.

Benefits:

• Chef-prepared lunch and dinner

• On-site gym and yoga studio

• 24/7 access to the comma fleet of cars

• Health, dental, and vision insurance

• Flexible time off

Responsibilities:

• Own the comma aesthetic and user experience

• Includes interface design for openpilot and comma connect, product design, this website, and more

Benefits:

• Chef-prepared lunch and dinner

• On-site gym and yoga studio

• 24/7 access to the comma fleet of cars

• Health, dental, and vision insurance

• Flexible time off

Responsibilities:

• Design + ship hardware like the comma 3X and comma body

Benefits:

• Chef-prepared lunch and dinner

• On-site gym and yoga studio

• 24/7 access to the comma fleet of cars

• Health, dental, and vision insurance

• Flexible time off

Responsibilities:

• Own the comma web and mobile experience

• Build an incredible companion app for openpilot

Benefits:

• Chef-prepared lunch and dinner

• On-site gym and yoga studio

• 24/7 access to the comma fleet of cars

• Health, dental, and vision insurance

• Flexible time off

Responsibilities:

• Work on systems and infrastructure for openpilot

• You'll work on things like mainlining our kernel, bringing up new hardware, and making the comma 3X boot up in 5s.

Benefits:

• Chef-prepared lunch and dinner

• On-site gym and yoga studio

• 24/7 access to the comma fleet of cars

• Health, dental, and vision insurance

• Flexible time off

Responsibilities:

• Work on steering, gas, and brake controls for the 300 different cars openpilot supports

Benefits:

• Chef-prepared lunch and dinner

• On-site gym and yoga studio

• 24/7 access to the comma fleet of cars

• Health, dental, and vision insurance

• Flexible time off

Responsibilities:

• Work on infrastructure to train autonomous agents

Benefits:

• Chef-prepared lunch and dinner

• On-site gym and yoga studio

• 24/7 access to the comma fleet of cars

• Health, dental, and vision insurance

• Flexible time off

Benefits:

• Chef-prepared lunch and dinner

• On-site gym and yoga studio

• 24/7 access to the comma fleet of cars

• Health, dental, and vision insurance

• Flexible time off

Experience Requirements:

• experience relevant to job offered

Responsibilities:

• Run the comma factory's circuit board line

Benefits:

• Chef-prepared lunch and dinner

• On-site gym and yoga studio

• 24/7 access to the comma fleet of cars

• Health, dental, and vision insurance

• Flexible time off

Experience Requirements:

• experience relevant to job offered

Responsibilities:

• Own comma's daily operations around the comma shop, including supply chain, logistics, procurement, customer support, fulfillment, and more

Benefits:

• Chef-prepared lunch and dinner

• On-site gym and yoga studio

• 24/7 access to the comma fleet of cars

• Health, dental, and vision insurance

• Flexible time off

Experience Requirements:

• experience relevant to job offered

Responsibilities:

• Own comma's daily operations including employee experience, onboarding, facilities management, and fleet logistics

Benefits:

• Chef-prepared lunch and dinner

• On-site gym and yoga studio

• 24/7 access to the comma fleet of cars

• Health, dental, and vision insurance

• Flexible time off

Other Requirements:

• Digital Signal Processing I

• Digital Communications

• Detection Theory

Responsibilities:

• Research, design, develop autonomous driving algorithms and systems using end to end Deep Learning and end to end simulation.

• Implement novel architectures and data pipelines to improve driving quality of openpilot - Advanced Driver Assistance System.

• Analyze existing development procedures and suggest improvements.

• Write software infrastructure for efficiently training and evaluating various large scale Neural Networks in largely distributed computer clusters.

• Implement automated testing and monitoring of Machine Learning models deployed in the field.

Benefits:

• Chef-prepared lunch and dinner

• On-site gym and yoga studio

• 24/7 access to the comma fleet of cars

• Health, dental, and vision insurance

• Flexible time off

Other Requirements:

• Computer Vision

• Embedded Control

• AI Application in EE

• Self Driving Cars

Responsibilities:

• Analyze user needs and develop and maintain software programs.

• Evaluate, test, & deploy industry-leading driver distraction detection algorithms for advanced driver assistance systems.

• Update software or enhance existing software capabilities applying the latest machine learning techniques.

• Build and maintain a regression test pipeline in a distributed manner to efficiently validate new models and then evaluate their performance when they are deployed.

Education Requirements:

• B.S./M.S. in Biochemistry, Biophysics, or a related field

Experience Requirements:

• minimum 1 year of academic or industry lab experience.

Responsibilities:

• Design and execute routine biophysical assays from beginning to end using methods such as SPR, DSF, and other biophysical techniques to characterize small molecule-protein interactions.

• Routinely and independently analyze & QC experimental data.

• Program, validate, and operate liquid-handling automation (Biomek Liquid handler, Multidrop Combi, Integra Viaflo & Voyager) for 384-well plate-based assays and use instrumentation such as plate readers for reproducible, publication-quality data generation.

• Communicate results efficiently & precisely in written format by maintaining electronic lab notebook.

• Presents work to supervisor, lab and/or project meeting.

Benefits:

• Competitive Pay

• Health Care Plans (including Medical, Dental, and Vision, fully covered for the employees)

• Stock Option Eligibility

• 401(k) Plan

• Open PTO Policy Paid Company Holidays Free lunch and snacks at our offices

Education Requirements:

• A BSc, MSc, or PhD degree in immunology, molecular and cell biology, biochemistry or a related field

Experience Requirements:

• 8+, 5+ or 2+ years of relevant industry experience, respectively.

Responsibilities:

• Autonomously plan, design, and execute biochemical and cell-based experiments to support our I&I pipeline.

• Maintain a hands-on approach while being an open-minded, flexible team player.

• Analyze, interpret and integrate complex datasets across multiple assay types.

• Document data meticulously using ELN and state-of-the-art analyses.

• Stay at the forefront of latest research through literature review and critical evaluation of available data sources.

Benefits:

• Competitive Pay

• Health Care Plans (including Medical, Dental, and Vision, fully covered for the employees)

• Stock Option Eligibility

• 401(k) Plan

• Open PTO Policy Paid Company Holidays Free lunch and snacks at our offices

Education Requirements:

• PhD in Computational Chemistry, Structural Biology, or a related field.

Experience Requirements:

• Minimum of 1-2 years of industry experience as a CADD scientist in pharma or biotech, with hands-on experience in active drug discovery programs.

Responsibilities:

• Utilize a combination of industry-standard and proprietary AI-powered CADD tools to guide small molecule drug discovery programs across a diverse target portfolio, including novel targets with limited chemical precedents.

• Use approaches like virtual screening, molecular simulation, and potency and ADMET prediction to support key decision-making in drug discovery efforts.

• Collaborate closely with medicinal chemists in molecular design and the development of project-specific computational approaches.

• Act as a cross-team connector, effectively communicating between our computational chemistry and medicinal chemistry teams to ensure seamless information flow and collaborative decision making.

Benefits:

• enhanced maternity, paternity, adoption, and shared parental leave

• private medical and dental insurance for yourself and any dependents

• flexible working options

• healthy food

• an on-site gym

Education Requirements:

• PhD in a technical field or equivalent practical experience

Experience Requirements:

• Knowledge of the latest in large machine learning research

• Experience working with simulators and real-world robots

• Expertise in using large datasets with deep neural networks to make real robots useful

• A real passion for AI impacting real world robots!

Responsibilities:

• Design, implement and evaluate models and software prototypes of robotic agents.

• Report and present research findings and developments including status and results clearly and efficiently both internally and externally, verbally and in writing.

• Suggest and engage in team collaborations to meet ambitious research goals.

• Work with external collaborators and maintain relationships with relevant research labs and key individuals as appropriate

Benefits:

• enhanced maternity, paternity, adoption, and shared parental leave

• private medical and dental insurance for yourself and any dependents

• flexible working options

• healthy food

• an on-site gym

Education Requirements:

• PhD/MS in Computer Science or Robotics; or equivalent practical experience

Experience Requirements:

• Experience working with real-world robots, preferably Humanoid platforms

• Strong exposure to Machine Learning/AI systems

• Experience on solving practical Safety challenges, performing Risk Assessments

• Working with different stakeholders to define and implement safety guidelines to ensure the safety of humans and robots in mixed environments, and also ensure that research velocity is not compromised

• Understanding of ISO/RIA Safety Standards

Responsibilities:

• Performing Hazard and Risk Analysis for emerging Robotics Platforms

• Provide expertise and guidance on Implementing state-of-the-art safety solutions on our robots and workcells, to enable safe data collection and model evaluation

• Working closely with Google DeepMind Robotics Researchers to accelerate development of new capabilities while ensuring safety.

• Coordinating with Environment, Health and Safety (EHS) teams to ensure consistency across GDM Robotics Labs.

• Preparing Safety training materials

Benefits:

• enhanced maternity, paternity, adoption, and shared parental leave

• private medical and dental insurance for yourself and any dependents

• flexible working options

• healthy food

• an on-site gym

Education Requirements:

• At least 10 years experience in ASIC physical design flows and methodologies in advanced nodes

Experience Requirements:

• Experience from PD for high performance compute IPs (e.g., GPUs, DSPs, or machine learning accelerators).

• Successful track record of delivering tape-outs to production.

• Capability and strong willingness to work in PD in a research environment.

• Hands on experience and a solid understanding of ASIC physical design, physical design flows and methodologies including synthesis, place and route, STA, Formal Verification, CDC and Power Analysis using tools such as Design Compiler, FC, Innovus, PrimeTime, PrimeTime-PX, Calibre, ICV, Conformal, RedHawk, Spyglass and PowerArtist.

• Strong scripting skills in Python, TCL, BASH

Responsibilities:

• Work in a fast and interdisciplinary team bringing together experts from Machine Learning, Hardware, Programming Languages and Systems

• Work in close collaboration with HW architects and design engineers rapidly iterating experimental designs, giving rapid yet reliable feedback on the performance, power and area of different design options.

• Drive architectural feasibility studies, explore RTL/design tradeoffs for physical design closure.

• Perform block level physical implementation steps including synthesis, floorplanning, place and route, power/clock distribution, congestion analysis, STA, timing closure, EM-IR, PV, CDC analysis, LEC etc.

• Provide actionable feedback to silicon design engineers and architects for design improvements.

Benefits:

• enhanced maternity, paternity, adoption, and shared parental leave

• private medical and dental insurance for yourself and any dependents

• flexible working options

• healthy food

• an on-site gym

Education Requirements:

• PhD in Computer Science, Statistics, or a related field

Experience Requirements:

• Strong publication record in top machine learning conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, ECCV)

• Expertise in one or more of the following areas: natural language processing, computer vision, reinforcement learning

• Experience with training, evaluating, or interpreting large language models

• Proven ability to design and execute independent research projects

• Excellent communication and collaboration skills

Responsibilities:

• Develop novel multimodal LLM architectures with a focus on memory

• Investigate post-training techniques for planning and reasoning

• Develop and evaluate applications of multimodal LLMs for personalized and agentic experiences