Autonomy Microservices Engineer, Applied Intuition
$100-190k
Software infrastructure for autonomous vehicles
Open for applications
Software infrastructure for autonomous vehicles
201-500 employees
Open for applications
$100-190k
201-500 employees
Company mission
To accelerate the world's adoption of safe and intelligent machines.
Role
Who you are
- The ideal candidate has deep expertise in the decomposition and encapsulation of complex systems into individual components
- Bachelor’s degree in computer science or a related engineering field
- 5+ years of hands-on experience developing Python, C++, and Rust software for autonomous robotic systems
- Experience in developing software for autonomous robotic systems in Python and Rust (C++ is an acceptable substitute)
- Strong object-oriented programming experience that employs clean code principles and good design patterns
- Experience developing in Docker and containerized development environments, using Linux-based operating systems (e.g., RHEL, Ubuntu), source control systems, and artifact registries
- Must be willing to travel as needed, with an estimated frequency of once every two months for durations ranging from two days to one week (approximately 20%)
- Must be a U.S. Citizen
- Must hold or be eligible for a U.S. Secret security clearance with Special Access Program (SAP)
- Applicants will be required to be fully vaccinated against COVID-19 upon commencing employment. Reasonable accommodations will be considered on a case-by-case basis for exemptions to this requirement in accordance with applicable federal and state law.
Desirable
- Master’s degree in computer science or a related engineering field
- 7+ years of experience developing software for autonomous robotic systems in multiple programming languages
- Familiarity with software-in-the-loop (SIL) and hardware-in-the-loop (HIL) development and testing
- High proficiency in modern C++ (2011, 2017, 2020, smart pointers, etc.) w/CMAKE in Docker-based Linux environments
- Familiarity with military architecture standards such as OMS UCI
What the job involves
- As an Autonomy Microservices Engineer at EpiSci you will play a pivotal role designing and implementing the architecture that enables the delivery of tactical autonomy software applications through a modern microservices framework
- They should also have expertise working with robotics middleware (ROS, DDS, etc.) or other inter-process communication (IPC) architectures for the transmission of data in real-time operations
- Design and implement software microservices required for an autonomy software stack to operate aerial systems including F16 fighter jets, group 1-5 unmanned aerial vehicles (UAVs), as well as simulated models to accomplish tactical military missions
- Collaborate with autonomy engineers to implement production level microservice architectures that leverage interoperability standards and tools (e.g. OMS UCI, ROS2, ZMQ) to control autonomous UASs
- Establish and improve software testing and debugging tools for autonomy solutions implemented as service-oriented architectures
- Design autonomy software in collaboration with autonomy engineers that supports full integration with aircraft autopilots, datalinks, sensors, PNT/GPS/INS, ground control stations, etc
- Collaborate with DoD warfighter domain experts and 3rd party UAS vehicle vendors to develop and integrate autonomy software onto OEM hardware
Our take
Autonomous vehicles present a lot of challenging problems to engineers, particularly in terms of safety and reliability, and testing and development can be infamously slow. Applied Intuition provides software to run simulations and tests for autonomous vehicles more quickly and effectively, speeding up the development and launch of AVs for multiple industries.
With big companies such as Tesla and Google focused on developing automation, Applied Intuition has the scope to provide the software that makes it a reality. The company’s suite of simulation, validation, and drive log management software aids in the more efficient deployment of autonomous vehicles, with companies such as Toyota, Nissan, and General Motors relying on its solutions.
As the autonomous vehicles market accelerates, Applied Intuition is well set for growth, especially as it continues to expand its capabilities. Notable developments include the acquisitions of CarSim, Scenebox and Embark Trucks, as well as partnerships with AMBA and Valeo. All these efforts seek to bolster the company's offering towards supporting the faster and safer deployment of AVs.
Steph
Company Specialist at Welcome to the Jungle
Insights
68% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Mar 2024
$250m
SERIES E
Nov 2021
$175m
SERIES D
Total funding: $601.5m
Company benefits
- Health Insurance: Applied covers 100% of the cost and offers medical, dental, vision, and life insurance
- 401(k) Match: 50% employer matching to help you save money for retirement
- Fitness Stipend: Our wellness program supports your health and fitness goals. We pay for your trainers, gym memberships, massages, and more!
- Learning Stipend: We invest in your learning and growth by reimbursing you for educational and training expenses
- Parental leave: 12-week, fully paid parental leave to bond with a newborn child or new adopted or foster child
- Catered lunch, expensed dinner, on-site meals and snacks
Company HQ
Mountain View, CA
Leadership
Peter Ludwig
(CTO)Worked at Google for 5 years, including as a Product Manager.
Qasar Younis
(CEO)Former COO at Y Combinator. Previously a Group Product Manager at Google. Founded TalkBin.
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