Senior AI/ML Systems Architect, Kodiak Robotics

Next-Gen Deep Learning Platforms

$150-230k

+ bonus + equity

Python
C++
Backbone
Boost
Senior level
San Francisco Bay Area

Office located in Mountain View, CA

Kodiak Robotics

Self-driving technology for long-haul trucks

Open for applications

Kodiak Robotics

Self-driving technology for long-haul trucks

201-500 employees

B2BArtificial IntelligenceLogisticsFreightSupply ChainAutomation

Open for applications

$150-230k

+ bonus + equity

Python
C++
Backbone
Boost
Senior level
San Francisco Bay Area

Office located in Mountain View, CA

201-500 employees

B2BArtificial IntelligenceLogisticsFreightSupply ChainAutomation

Company mission

Kodiak Robotics' mission is to carry freight forward—so people, partners, and the planet thrive.

Role

Who you are

  • Strong academic or industry background with a degree (BS, MS, or PhD) in deep learning, machine learning, or data analytics infrastructure, and proficiency in Python and C++
  • Exceptional problem-solving skills with a proven track record in building reliable, scalable applications and advanced software engineering
  • Experience in metrics, data analysis, and scientific evaluation, especially in autonomous systems, coupled with hands-on experience in managing machine learning pipelines in a production environment
  • Demonstrated ability to collaborate effectively, taking ownership, working towards shared goals within a team, and quickly building and refining systems
  • Competence in developing durable infrastructure components from scratch, with the ability to clearly and concisely articulate complex technical issues and strong documentation skills

What the job involves

  • We are looking for a highly skilled Infrastructure Engineer to join the Perception team and build world-class deep learning training, evaluation, and deployment infrastructure for the development of the perception and prediction modules of our self-driving semi trucks
  • Drive the architecture and deployment of next-generation deep learning models, forming the backbone of groundbreaking AI solutions and revolutionizing problem-solving approaches
  • Apply Python and C++ skills in distributed computing to evolve high-performance AI training pipelines, enhancing the user experience and elevating system efficiency in AI applications
  • Develop new metrics and monitoring for model benchmarking, along with systems for failure detection, insightful visualizations, and predictive improvements, contributing significantly to the AI field
  • Play a crucial role in improving AI learning processes through sophisticated training data selection and synthesis, and apply advanced techniques to boost the performance and efficiency of deep learning networks
  • Engage in a dynamic, collaborative environment, focusing on AI/ML innovation with continuous integration and deployment, backed by state-of-the-art resources and a culture fostering creativity and continuous learning

Our take

Global supply chains rely on frictionless long-haul trucking freight networks, but the repetitive and stationary nature of the job has resulted in a lack of willing drivers. Whilst this has been partially resolved through the introduction of self-driving trucks, such systems are notoriously difficult to maintain which ultimately leads to significant downtime.

Kodiak Robotics develops self-driving technology for long-haul trucks, providing wing mirrors built with sensors called Kodiak SensorPods. These sensors provide the technology necessary for the trucks to be driven safely and autonomously and have been designed to be replaced or serviced rapidly to minimize downtime.

Whilst the company’s most significant challenge will present itself as other self-driving truck providers, Kodiak Robotics has taken a unique approach by recognizing the high-maintenance nature of existing self-driving systems, innovating upon this through its easily replaceable SensorPods. Through this approach and several successful rounds of funding, the company aims to fill empty truck driving positions with safer AI drivers, whilst ensuring its technology is quick and simple to maintain.

Steph headshot

Steph

Company Specialist

Insights

Top investors

21% employee growth in 12 months

Company

Funding (last 2 of 3 rounds)

Sep 2023

$75m

CONVERTIBLE

Nov 2021

$125m

SERIES B

Total funding: $240m

Company benefits

  • Remote-friendly work environment
  • 401k
  • Generous PTO policy
  • Life insurance
  • Assortment of medical (PPO/HMO/HDHP), dental, vision, and FSA plans
  • Family-friendly company events
  • Dog-friendly office
  • Employee-driven fitness classes
  • Beautiful, renovated facilities in Mountain View, CA and Lancaster, TX
  • Free EV charging
  • Trivia and board game nights

Company values

  • Safety, first and always - Build procedures to support responsible decision-making. Reinforce safe choices as a community. Safety first always; no breaks, no exceptions
  • Intellectual honesty, principled debate - Seek the truth, especially when it’s inconvenient. Speak with passion, but respect diverse points of view to move towards execution
  • Disciplined innovation - Focus, efficiency and elegance. Learn from experience. Solve meaningful problems. Behave responsibly
  • Better together. For a better future - Seek out best-in-class collaborators. Embrace our ecosystem of diversity—from fellow Kodiak-ers, and customers to the people we share the roads with
  • Exceed expectations. Earn respect. Repeat - Deliver seamless experiences wherever possible. Build trust through action. Consistent and constant accountability

Company HQ

Mountain View, CA

Leadership

Experience as Co-founder of Otto. Software Technical Lead at Uber from 2016 to 2018.

Salary benchmarks

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Diversity & Inclusion at Kodiak Robotics

  • At Kodiak, we strive to build a diverse community working towards our common company goals in a safe and collaborative environment where harassment of any kind is strictly prohibited. Kodiak is committed to equal opportunity employment regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or veteran status, or any other basis protected by applicable law.

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