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Autonomous Vehicles for B2B Short-Haul Logistics

Software Engineer, Machine Learning Infrastructure

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At Gatik we’re developing Level 4 automated light trucks and vans for business to business (B2B) short-haul logistics. Our autonomous vehicles reduce the high cost of urban logistics, while improving safety, increasing efficiency, reducing congestion and emissions, and allowing businesses to best serve the community.

Led by a team of AV researchers and engineers from Carnegie Mellon Robotics Institute, we are building new concepts and groundbreaking solutions for autonomous vehicles to ensure goods are transported between business locations both efficiently and affordably in city environments. With offices in Palo Alto and Toronto, we are dedicated to building commercial applications of AVs and aim to power the next generation of self-driving commercial fleets for urban logistics.

We're looking for high-energy, creative and collaborative candidates that would like to be involved in all aspects of growing a fast-paced, execution-oriented team. If you’re curious and passionate about Level 4 autonomous driving, we'd like to meet you!

Responsibilities
- Build out the infrastructure and tools to manage Gatik’s pipeline of vehicle data & telemetry
- Automate deep learning framework deployment and validation
- Create data visualization and annotation tools for autonomous driving
- Build scalable frameworks to run massive amounts of simulations in a cluster environment
- Model a range of human driving behaviors for realistic interaction with AVs
- Implement simulation frameworks that recreate dynamic environments based on both recorded and synthetic data
- Develop libraries to simulate sensors like IMU, radar, lidar

Qualifications
- Bachelors or M.S degree in CS or related field
- Strong knowledge of C++ and experience in large code bases
- Experience building large, scalable software systems in at least one of: Python (ideally), Go (golang), Node.js
- Experience with TensorFlow or other Machine Learning frameworks
- Solid technical foundation in CPU and GPU architectures, containers and numeric libraries
- Experience with distributed computing (MapReduce, Flume, etc)

Bonus Points
- Experience with data engineering at scale
- Expertise in large-scale cloud infrastructure, e.g. G-Cloud or AWS
- Familiarity with vehicle systems, robotics or game engines such as Unreal or Unity
- Experience with hardware-in-the-loop simulation
- Publications on simulation technologies for deep learning or other vehicle systems

Benefits
- Competitive salaries, generous equity, and benefits including 401K, medical, dental & vision
- Regularly scheduled on and off-site team building activities
- Free catered lunches, snacks, and drinks
- Start-up environment where you’ll help shape the culture and have a huge impact
- Work on innovative products and challenging problems with some amazingly talented (and fun) people
- Be at ground zero of the AV revolution!

Healthcare benefits

Medical, dental, and vision

Equity benefits

Competitive salaries and generous equity

Company meals

Free catered lunches, snacks, and drinks

Company events

Regularly scheduled on and off-site team building activities

Startup environment

Start-up environment where you’ll help shape the culture and have a huge impact. Work on innovative products and challenging problems with some amazingly talented (and fun) people

Gatik at a glance

Autonomous Vehicles for B2B Short-Haul Logistics

Gatik focuses on Automotive, Robotics, Machine Learning, Artificial Intelligence, and Hybrid Vehicles. Their company has offices in Palo Alto, Toronto, and Bentonville. They have a small team that's between 11-50 employees. To date, Gatik has raised $4.5M of funding; their latest round was closed on June 2019.

You can view their website at http://www.gatik.ai/ or find them on Twitter, Facebook, and LinkedIn.

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