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Senior Software Engineer, Deep Learning for Computer Vision
Kodiak Robotics
Mountain View, CA
Kodiak was founded in April 2018 to develop autonomous technology that carries freight forward—so people, partners, and the planet thrive. Navigating highway environments presents vastly different challenges than urban streets. Kodiak’s experienced team has developed the industry’s most advanced technology stack purpose-built specifically for long-haul trucks. From our sensor fusion system that maximizes the value of every sensing modality, to our unique lightweight mapping solution that allows our trucks to navigate ever-changing highway construction zones, our world-class team of industry pioneers is bringing the benefits of autonomy to the $800B a year trucking industry quickly, safely, and efficiently.

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
    • 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. Our salary ranges are determined by role, level and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. We can share more about the specific salary range for your job level 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. 
Full-time
Senior
Computer Vision
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Fall 2023 Intern, Perception
Kodiak Robotics
Mountain View, CA
Kodiak was founded in April 2018 to develop autonomous technology that carries freight forward—so people, partners, and the planet thrive. Navigating highway environments present vastly different challenges than urban streets. Kodiak’s experienced team has developed the industry’s most advanced technology stack purpose-built specifically for long-haul trucks. From our sensor fusion system that maximizes the value of every sensing modality to our unique lightweight mapping solution that allows our trucks to navigate ever-changing highway construction zones, our world-class team of industry pioneers is bringing the benefits of autonomy to the $800B a year trucking industry quickly, safely, and efficiently.

We are looking for a highly skilled perception intern to join us and solve real-world robotics problems.

In This Internship You Will:

    • Be responsible for designing perception 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 to build and evaluate real world perception systems.
    • Set up automated training pipelines and develop data analytics tools to improve our performance.

Qualifications:

    • Strong technical background. You are currently pursuing an MS or Ph.D. and have hands-on experience in designing and implementing deep neural networks and other computer vision algorithms. 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.

Internship Program Details:

    • Start Date: September 2023.
    • Our internship program is 12-16 weeks; the end date is flexible based on individual needs.
    • Location: Mountain View, CA.
    • Housing: interns are responsible for housing.

What We Offer:

    • A fast paced environment where we work with talented, committed and supportive teammates.
    • Competitive pay.
    • Excellent medical, dental and vision benefits.  
    • A beautiful facility in Mountain View.
    • We love our dogs, so we are a dog friendly office!
    • Free catered lunch.
The monthly range for this intern position is $9,166-$10,000. Our salary ranges are determined by role, level and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. We can share more about the specific salary range for your job level 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. 
Internship
Computer Vision
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Senior Software Engineer, Machine Learning Infrastructure
Kodiak Robotics
Mountain View, CA
Kodiak was founded in April 2018 to develop autonomous technology that carries freight forward—so people, partners, and the planet thrive. Navigating highway environments presents vastly different challenges than urban streets. Kodiak’s experienced team has developed the industry’s most advanced technology stack purpose-built specifically for long-haul trucks. From our sensor fusion system that maximizes the value of every sensing modality, to our unique lightweight mapping solution that allows our trucks to navigate ever-changing highway construction zones, our world-class team of industry pioneers is bringing the benefits of autonomy to the $800B a year trucking industry quickly, safely, and efficiently. 

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.

In this role, you will:

    • Be responsible for designing and implementing Kodiak’s infrastructure for training, evaluating, and deploying deep learning models in efficient Python and C++ code
    • Develop and optimize push-button training pipelines in distributed environments
    • Develop metrics to measure model, perception system, and overall self-driving performance
    • Build systems to track metrics over time and enable comparison of experiments
    • Develop systems for finding failure cases, visualizing predictions, and pinpointing areas for improvement
    • Create systems to track, segment, and select data to be used in training or reinforcement, including synthetic and machine-generated labels
    • Measure and optimize deep learning network and detection runtime performance using state of the art techniques
    • Enable continuous integration and deployment of model improvements
    • Collaborate closely with other experts in sensors, perception, prediction, planning, and systems engineering teams

Preferred Qualifications:

    • Strong technical background. BS, MS or PhD with academic or industry experience in designing and implementing deep learning, ML, or data analytics infrastructure. Skilled in Python/C++ and strong problem-solving skills. You ideally also have a strong knowledge of data processing pipelines for training ML models in the cloud.
    • Very strong software engineering skills and experience building high-reliability applications used by other engineers. You write well-designed, highly maintainable code. Code is your craft.
    • Solid understanding of metrics, data analysis, and scientific evaluation. Bonus points for understanding the specific subtleties in measuring and evaluating the performance of a robot and its submodules.
    • 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 defining and building lasting infrastructure components from scratch.
    • Hands on. You are 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 listen and understand what would enable your model development colleagues to measure and refine ML models more quickly and what is necessary to improve the performance of the Kodiak Driver.

What we can offer:

    • 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
    • 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 $150,000-$230,000 + bonus + equity + benefits. Our salary ranges are determined by role, level and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. We can share more about the specific salary range for your job level 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.
Full-time
Senior
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Winter 2024 Intern, Deep Learning for Computer Vision
Kodiak Robotics
Mountain View, CA
Kodiak was founded in April 2018 to develop autonomous technology that carries freight forward—so people, partners, and the planet thrive. Navigating highway environments present vastly different challenges than urban streets. Kodiak’s experienced team has developed the industry’s most advanced technology stack purpose-built specifically for long-haul trucks. From our sensor fusion system that maximizes the value of every sensing modality to our unique lightweight mapping solution that allows our trucks to navigate ever-changing highway construction zones, our world-class team of industry pioneers is bringing the benefits of autonomy to the $800B a year trucking industry quickly, safely, and efficiently.

We are looking for a highly skilled Computer Vision intern 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 the 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.

Qualifications:

    • Strong technical background. You are currently pursuing an MS or Ph.D. and have hands-on experience in designing and implementing deep neural networks; exceptional candidates pursuing a BS are considered. 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.

Internship Program Details:

    • Start Date: January 2024.
    • Our internship program is 12-16 weeks; the end date is flexible based on individual needs.
    • Location: Mountain View, CA
    • Housing: interns are responsible for housing.

What We Offer:

    • A fast paced environment where we work with talented, committed and supportive teammates.
    • Competitive pay.
    • Excellent medical, dental and vision benefits.  
    • A beautiful facility in Mountain View.
    • We love our dogs, so we are a dog friendly office!Free catered lunch.
The salary range for this intern position is $9,166 - $10,000 . Our salary ranges are determined by role, level and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. We can share more about the specific salary range for your job level 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. 
Computer Vision
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Winter 2024 Intern, Perception
Kodiak Robotics
Mountain View, CA
Kodiak was founded in April 2018 to develop autonomous technology that carries freight forward—so people, partners, and the planet thrive. Navigating highway environments present vastly different challenges than urban streets. Kodiak’s experienced team has developed the industry’s most advanced technology stack purpose-built specifically for long-haul trucks. From our sensor fusion system that maximizes the value of every sensing modality to our unique lightweight mapping solution that allows our trucks to navigate ever-changing highway construction zones, our world-class team of industry pioneers is bringing the benefits of autonomy to the $800B a year trucking industry quickly, safely, and efficiently.

We are looking for a highly skilled perception intern to join us and solve real-world robotics problems.

In This Internship You Will:

    • Be responsible for designing perception 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 to build and evaluate real world perception systems.
    • Set up automated training pipelines and develop data analytics tools to improve our performance.

Qualifications:

    • Strong technical background. You are currently pursuing an MS or Ph.D. and have hands-on experience in designing and implementing deep neural networks and other computer vision algorithms. 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.

Internship Program Details:

    • Start Date: January 2024.
    • Our internship program is 12-16 weeks; the end date is flexible based on individual needs.
    • Location: Mountain View, CA.
    • Housing: interns are responsible for housing.

What We Offer:

    • A fast paced environment where we work with talented, committed and supportive teammates.
    • Competitive pay.
    • Excellent medical, dental and vision benefits.  
    • A beautiful facility in Mountain View.
    • We love our dogs, so we are a dog friendly office!
    • Free catered lunch.
The monthly range for this intern position is $9,166-$10,000. Our salary ranges are determined by role, level and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. We can share more about the specific salary range for your job level 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. 
Computer Vision
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Winter 2024 Intern, Data Science
Kodiak Robotics
Mountain View, CA
Kodiak was founded in April 2018 to develop autonomous technology that carries freight forward—so people, partners, and the planet thrive. Navigating highway environments present vastly different challenges than urban streets. Kodiak’s experienced team has developed the industry’s most advanced technology stack purpose-built specifically for long-haul trucks. From our sensor fusion system that maximizes the value of every sensing modality to our unique lightweight mapping solution that allows our trucks to navigate ever-changing highway construction zones, our world-class team of industry pioneers is bringing the benefits of autonomy to the $800B a year trucking industry quickly, safely, and efficiently.

We are looking for a highly skilled Data Science Intern to join us and solve real-world robotics problems. Our ideal candidates exhibit a can-do attitude and approach their work with vigor and determination. Candidates will be expected to demonstrate excellence in their respective fields and possess the ability to learn quickly in a fast-paced environment.

In this role, you will:

    • Define and validate metrics to accurately measure autonomy performance and evaluation system trustworthiness.
    • Facilitate development of our data platform and ensure cleanliness. Create a data view that is clean and metrics are thus reliable on this dataset.
    • Correlate performance of the Kodiak Driver on-road with simulation results.
    • Work closely with other teams and ensure the team is supported with data necessary to make timely, informed decisions

Qualifications:

    • BS, MS or PhD in Computer Science, Statistics, Operations Research or related quantitative technical fields.
    • Strong understanding of data aggregation and interrogation statistics metrics implementation & underlying mathematical/statistical principles
    • Ability to communicate complex data in a simple, actionable way
    • Practical knowledge of common data analysis, inference, and statistical modeling tools, using Python and SQL
    • Take ownership and enjoy working with the team to deliver actionable results.

Internship Program Details:

    • Start Date: January 2024.
    • Our internship program is 12-16 weeks; the end date is flexible based on individual needs.
    • Location: Mountain View, CA.
    • Housing: interns are responsible for housing.

What We Offer:

    • A fast paced environment where we work with talented, committed and supportive teammates.
    • Competitive pay.
    • Excellent medical, dental and vision benefits.  
    • A beautiful facility in Mountain View.
    • We love our dogs, so we are a dog friendly office!
    • Free catered lunch.
The monthly range for this intern position is $9,166-$10,000. Our salary ranges are determined by role, level and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. We can share more about the specific salary range for your job level 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 U.S. national security statutes, regulations, and administrative prerequisites. These statutes  may impose limitations on Kodiak's capacity to engage specific individuals in particular roles based on various national security-related criteria. Consequently, the eligibility for this position may hinge on Kodiak's verification of a candidate's residence, U.S. person status, and/or citizenship status. In accordance with these statutes , Kodiak may find it necessary to secure a U.S. government export license before disseminating its technologies to specific individuals. Should Kodiak determine that a candidate's residence, U.S. person status, and/or citizenship status necessitate a license, prohibit the candidate from assuming this position, or otherwise fall under national security-related restrictions, Kodiak explicitly retains the right to either assess the candidate for an alternative position 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.
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