Who we are:

Gatik, the leader in autonomous middle mile logistics, delivers goods safely and efficiently using its fleet of light & medium-duty trucks. The company focuses on short-haul, B2B logistics for Fortune 500 customers including Kroger, Walmart, Tyson Foods, Loblaw, Pitney Bowes, Georgia-Pacific, and KBX; enabling them to optimize their hub-and-spoke supply chain operations, enhance service levels and product flow across multiple locations while reducing labor costs and meeting an unprecedented expectation for faster deliveries. Gatik’s Class 3-7 autonomous box trucks are commercially deployed in multiple markets including Texas, Arkansas, and Ontario, Canada.

About the role:

We are currently looking for an experienced Technical Lead with specialized skills in Computer Vision specifically related to Autonomous Driving applications - LiDAR, camera, and radar Perception technologies. As a key member of our team, you will be responsible for developing and implementing Machine Learning models that accurately detect and track the surrounding environment, thereby enabling safe and reliable behavior downstream processing for our AVs. In this pivotal role, you'll be instrumental in designing, implementing, and deploying the ML algorithms that enable our trucks to safely navigate and operate in complex, dynamic environments both on-vehicle and within simulation environments for validation. This position requires a strong technical and ML background, hands-on software engineering experience, and a knack for technically lead engineers. You will collaborate with a team of experts in AI Research, robotics, and software engineering to push the boundaries of what's possible in autonomous trucking.

What you'll do:

  • Develop and / or adjust existing state-of-the-art perception algorithms for autonomous vehicles to advance / complement research in sensor fusion, 3D object detection, segmentation, and tracking in complex dynamic environments
  • Work on multiple parts of the Perception ML pipeline: 2D and 3D, closed and open vocabulary detection, data-driven tracking, classification and segmentation
  • Design and implement sensor fusion, sensor degradation, and other safety-critical systems
  • Lead initiatives to collect, augment, and utilize large-scale datasets from sensors such as cameras, LiDAR, and radar for training and validating perception models under various driving conditions
  • Develop robust testing and validation frameworks to ensure the reliability and safety of the perception systems across diverse scenarios and edge cases
  • Conduct thorough validation and testing of ML models in simulation and real-world environments to ensure robust performance and generalization
  • Analyze model performance and identify areas for improvement, iterating on design and implementation to enhance prediction accuracy and reliability
  • Document model architectures, methodologies, and results clearly and concisely
  • Collaborate closely with the Data Engineering and AI Research teams to define project requirements, formulate innovative concepts, and co-design ML models and be responsible for their effective deployment in a real-world trucking environment
  • Participate in hiring process for and manage the top notch ML Perception engineers

What we're looking for:

  • Ph.D. or highly qualified M.S. candidate in one or more of the following areas: Electrical Engineering, Computer Science, Robotics, Artificial Intelligence, Mathematics, or a related field
  • You have at least 1-3 years of hands-on experience in one or more of the following areas: Autonomous Driving (preferable), Robotics, or Deep Learning in general 
  • You have at least 1-3 years of research experience in one or more of the following areas: Perception (preferable), 2D and 3D Computer Vision, Statistics, Probability theory 
  • You have at least 1 year of technical leadership experience inside an industrial setting
  • Experience in data science including data collection, analysis, hypothesis formulation and verification
  • Deep knowledge of Autonomous Driving Perception including
    • 2D vs 3D Detection
    • Camera vs LiDAR vs Radar
    • BEV map
    • ML-based tracking 
    • Sensor fusion
    • Sensor calibration
    • Sensor degradation
  • Strong foundation in data structures, algorithm design, and complexity analysis
  • Experience with latency analysis and optimization of safety critical software systems
  • Expertise in programming languages and tools critical for high-performance computing in Python/C++ including large-scale data processing, parallel programming, code optimization and machine learning including Deep Learning frameworks like TensorFlow/PyTorch 
  • Demonstrated ability to publish research findings in any of the top-tier technical journals and conferences (CVPR, ICCV, ECCV, NeurIPS, AAAI, IJCAI, ICLR, ICML, ICRA, CoRL, IROS, etc.)
  • You are passionate about Autonomous Driving!

More about Gatik:

With headquarters in Mountain View, CA and offices in Canada, Texas, Louisiana and Arkansas, Gatik is establishing new standards of success for the autonomous trucking industry every day. Visit us at Gatik for more company information and Jobs @ Gatik for more open roles.
 
Gatik News:
Taking care of our team:
At Gatik, we connect people of extraordinary talent and experience to an opportunity to create a more resilient supply chain and contribute to our environment’s sustainability. We are diverse in our backgrounds and perspectives yet united by a bold vision and shared commitment to our values. Our culture emphasizes the importance of collaboration, respect and agility.
 
We at Gatik strive to create a diverse and inclusive environment where everyone feels they have opportunities to succeed and grow because we know that together we can do great things. We are committed to an inclusive and diverse team. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.

Apply for this Job

* Required
resume chosen  
Dropbox Google Drive
(File types: pdf, doc, docx, txt, rtf)
Cancel
cover_letter chosen  
Dropbox Google Drive
(File types: pdf, doc, docx, txt, rtf)
Cancel

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.

As set forth in Gatik AI, Inc.’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

Race & Ethnicity Definitions

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categories is as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.

Voluntary Self-Identification of Disability

Form CC-305
Page 1 of 1
OMB Control Number 1250-0005
Expires 04/30/2026

Why are you being asked to complete this form?

We are a federal contractor or subcontractor. The law requires us to provide equal employment opportunity to qualified people with disabilities. We have a goal of having at least 7% of our workers as people with disabilities. The law says we must measure our progress towards this goal. To do this, we must ask applicants and employees if they have a disability or have ever had one. People can become disabled, so we need to ask this question at least every five years.

Completing this form is voluntary, and we hope that you will choose to do so. Your answer is confidential. No one who makes hiring decisions will see it. Your decision to complete the form and your answer will not harm you in any way. If you want to learn more about the law or this form, visit the U.S. Department of Labor’s Office of Federal Contract Compliance Programs (OFCCP) website at www.dol.gov/ofccp.

How do you know if you have a disability?

A disability is a condition that substantially limits one or more of your “major life activities.” If you have or have ever had such a condition, you are a person with a disability. Disabilities include, but are not limited to:

  • Alcohol or other substance use disorder (not currently using drugs illegally)
  • Autoimmune disorder, for example, lupus, fibromyalgia, rheumatoid arthritis, HIV/AIDS
  • Blind or low vision
  • Cancer (past or present)
  • Cardiovascular or heart disease
  • Celiac disease
  • Cerebral palsy
  • Deaf or serious difficulty hearing
  • Diabetes
  • Disfigurement, for example, disfigurement caused by burns, wounds, accidents, or congenital disorders
  • Epilepsy or other seizure disorder
  • Gastrointestinal disorders, for example, Crohn's Disease, irritable bowel syndrome
  • Intellectual or developmental disability
  • Mental health conditions, for example, depression, bipolar disorder, anxiety disorder, schizophrenia, PTSD
  • Missing limbs or partially missing limbs
  • Mobility impairment, benefiting from the use of a wheelchair, scooter, walker, leg brace(s) and/or other supports
  • Nervous system condition, for example, migraine headaches, Parkinson’s disease, multiple sclerosis (MS)
  • Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities
  • Partial or complete paralysis (any cause)
  • Pulmonary or respiratory conditions, for example, tuberculosis, asthma, emphysema
  • Short stature (dwarfism)
  • Traumatic brain injury

PUBLIC BURDEN STATEMENT: According to the Paperwork Reduction Act of 1995 no persons are required to respond to a collection of information unless such collection displays a valid OMB control number. This survey should take about 5 minutes to complete.

Enter the verification code sent to to confirm you are not a robot, then submit your application.

This application was flagged as potential bot traffic. To resubmit your application, turn off any VPNs, clear the browser's cache and cookies, or try another browser. If you still can't submit it, contact our support team through the help center.