Kodiak Robotics Logo

Kodiak Robotics

Senior Applied AI Engineer - Computer Vision

Reposted 4 Days Ago
Be an Early Applicant
Hybrid
7 Locations
Senior level
Hybrid
7 Locations
Senior level
Design and implement deep learning algorithms in C++ or Python for computer vision applications in robotics. Collaborate on data analytics and ML pipelines.
The summary above was generated by AI

Kodiak Robotics, Inc. was founded in 2018 and has become the trusted world leader in autonomous ground transportation committed to a safer and more efficient future for all. The company is developing an industry-leading artificial intelligence (AI) powered technology stack purpose-built for driverless long-haul trucking applications. Kodiak’s unique modular hardware approach integrates sensors into a streamlined sensor-pod structure that optimizes for perception, scalability, and maintainability. The company autonomously delivers freight daily for its commercial customers across the Sun Belt states and for Atlas Energy in the Permian Basin. Kodiak also leverages its commercial self-driving software to develop, test and deploy autonomous capabilities for the U.S. Department of Defense.


We are looking for a highly skilled Software Engineer with a focus on deep learning for computer vision applications to join us and solve real-world robotics problems.

In this role, you will:

  • Be responsible for designing machine learning algorithms and implementing them in robust, efficient, and well-tested C++ and/or Python code.
  • Lead the development of deep neural networks to solve real-world robotics challenges such as lane detection, object detection and classification, sensor fusion, tracking, prediction, anomaly detection, and planning.
  • Work with camera, laser, radar, and ultrasound data and curate datasets for machine learning.
  • Set up automated training pipelines and develop data analytics tools to incrementally improve our performance on a growing dataset.
  • Collaborate closely with other experts on the team, including the planning and systems engineering team.

Qualifications:

  • Strong technical background. BS, MS or PhD with academic or at least 4-5 years industry experience in designing and implementing deep neural networks. You are a skilled software engineer with experience in C++ and strong problem-solving skills. You are passionate about solving real-world robotics problems, and you have ideally worked on autonomous robots before. You ideally also have a strong knowledge of data processing pipelines for training ML models in the cloud.
  • A team player. You take ownership and work with the team to deliver exceptional results. You are interested in the performance of the entire system across engineering disciplines.
  • Ability to build and iterate quickly. You enjoy working fast and smart, and you are comfortable in the earlier stages of developing an algorithm from scratch.
  • Hands on. You are not only passionate about ML research but also experienced working with production machine learning pipelines, from dataset collection and labeling to training and validation.
  • Great communicator. You have experience writing clear, concise, and detailed documentation. You can enable your colleagues to leverage the ML models resulting from your work in their algorithms and systems.

Benefits:

  • Competitive compensation package including equity and biannual bonuses
  • Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Anthem, and Guardian (including a medical plan with infertility benefits)
  • Flexible PTO and generous parental leave policies
  • Our office is centrally located in Mountain View, CA
  • Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging
  • Long Term Disability, Short Term Disability, Life Insurance
  • Wellbeing Benefits - Headspace, One Medical, Gympass, Spring Health
  • Fidelity 401(k)
  • Commuter, FSA, Dependent Care FSA, HSA
  • Various incentive programs (referral bonuses, patent bonuses, etc.)

The annual salary range for this full-time position is $175,000-$275,000 + bonus + equity + benefits. Actual salary ranges will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Please note that the compensation details listed above are base salary only and do not include bonus, equity, or benefits.


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. 


In alignment with its business operations, Kodiak adheres to all relevant statutes, regulations, and administrative prerequisites. Accordingly, roles that carry more sensitive requirements may be limited to candidates that can satisfy additional scrutiny and eligibility for such positions may hinge on verification of a candidate’s residence, U.S. person status, and/or citizenship status. Should the position require, and Kodiak determines that a candidate’s residence, U.S. person status, and/or citizenship status necessitate an export license, bar the candidate from the position, or otherwise fall under national security-related restrictions, Kodiak will consider the candidate for alternative positions unaffected by such restrictions, under terms and conditions set forth at Kodiak’s sole discretion, or, as an alternative, opt not to proceed with the candidate’s application. If applicable, Kodiak may provide visa sponsorship for eligible candidates.

Top Skills

Automated Training Pipelines
C++
Data Processing
Deep Learning
Machine Learning
Python

Similar Jobs

2 Hours Ago
Hybrid
Vancouver, BC, CAN
Junior
Junior
Artificial Intelligence • Hardware • Information Technology • Security • Software • Cybersecurity • Big Data Analytics
The Full Stack Developer II will create web applications, focus on usability, review code, mentor peers, and collaborate with teams.
Top Skills: .NetAzureC#C++React
5 Hours Ago
Toronto, ON, CAN
Senior level
Senior level
Food • Retail • Agriculture • Manufacturing
The SAP Release Manager will oversee technical operations, manage releases for SAP S/4HANA, and leverage SAP RISE for cloud implementations. This includes Basis administration, automation, and collaboration with cross-functional teams to enhance performance.
Top Skills: ArchivingBwCharmCloud HyperscalerCts+DatasphereFioriHanaLinuxSap BtpSap Disclosure ManagementSap RiseSap S/4HanaSap Solution ManagerSrmSum DmoTest SuiteVistexWindows
5 Hours Ago
Toronto, ON, CAN
Senior level
Senior level
Food • Retail • Agriculture • Manufacturing
The SAP Architect leads technical transformations and implementations by designing SAP solutions, overseeing integration, and aligning IT with business strategies to optimize operations.
Top Skills: AWSAzureS4 HanaSap BtpSap DatasphereSap EccSap Grc

What you need to know about the Ottawa Tech Scene

The capital city of Canada and the nation's fourth-largest urban area, Ottawa has proven a rapidly growing global tech hub. With over 1,800 tech companies, many of which are leaders in their sectors, the city's tech talent now makes up more than 13 percent of its total workforce. This growth is driven not only by the big players like UL Solutions and Dropbox, but also by a thriving startup ecosystem, as new businesses emerge to follow in the footsteps of those that came before them.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account