Software Engineer, Applied Intuition

Calibration

$125-222k

Python
C++
Junior and Mid level
San Francisco Bay Area

5+ days a week in office (Mountain View, CA)

Applied Intuition

Software infrastructure for autonomous vehicles

Be an early applicant

Applied Intuition

Software infrastructure for autonomous vehicles

201-500 employees

B2BArtificial IntelligenceTransportDeep TechAnalyticsMachine LearningSaaSAutomation

Be an early applicant

$125-222k

Python
C++
Junior and Mid level
San Francisco Bay Area

5+ days a week in office (Mountain View, CA)

201-500 employees

B2BArtificial IntelligenceTransportDeep TechAnalyticsMachine LearningSaaSAutomation

Company mission

To accelerate the world's adoption of safe and intelligent machines.

Role

Who you are

  • 2+ years of experience building software components or (sub) systems that address practical engineering challenges
  • Hands-on experience with one or more domain relevant algorithm, software framework or tools, such as calibration, middleware, benchmarking suites, data sets and related pipelines, or algorithmic libraries
  • C++ and/or Python programming expertise
  • Is a self-starter, has a willingness to learn and can quickly become comfortable with new technical tools
  • Is passionate about turning their software development expertise into solving real-world applications of autonomous system

Desirable

  • MSc in calibration, state-estimation, optimization, or closely related field
  • Understanding of the core calibration concepts, world representations and transforms, optimization, the intersection of perception and state-estimation, and noise characteristics of various sensors
  • Has done hands-on work in relevant state-of-the-art offline and online calibration algorithms, and experience with both early and late stage sensor fusion for state estimation
  • Understanding of inertial and perception sensors, state of the art industry solutions, and common approaches for production systems
  • Experience building and shipping software frameworks or tools that are used by others than the authors of the framework

What the job involves

  • We are looking for a software engineer with expertise in calibration systems for autonomous vehicles or mobile robots
  • Your contributions will focus on designing and building a calibration pipeline for a growing fleet of vehicles
  • You will contribute towards a critical foundational piece of our AV program by ensuring that every vehicle is able to leverage a multi-sensor, multi-modal representation of the world to navigate through it
  • In this role you will exercise engineering excellence to unlock both developer and production workflows at scale
  • In addition to your engineering contributions, by working in our dynamic and customer-focused team culture, you will contribute to and learn from best practices in the nascent autonomy industry
  • Implement a software pipeline which enables calibration of sensor intrinsic and extrinsic parameters for a variety of vehicles of different sensor configurations
  • Design processes to manage the lifecycle and deployment of calibrations besides operations around data collection, processing and evaluation
  • Work across teams, interface closely with and contribute to the core calibration algorithm team at Applied
  • Have an opportunity to build state-of-the-art algorithms for both offline calibration in the factory / lab and online calibration to account for sensor variation due to temperature or other on-road and off-road conditions
  • Enable sensor fusion and work with a variety of sensors including Camera, Lidar, Radar, IMU, GNSS, and more
  • Drive an excellent product experience by designing a user-friendly Calibration procedure, as well as exposure of online Calibration status through HMI integration

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 headshot

Steph

Company Specialist

Insights

Top investors

Some candidates hear
back within 2 weeks

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 values

  • Speed
  • Customer orientation
  • Technical mastery
  • Laugh a lot

Company HQ

Mountain View, CA

Leadership

Worked at Google for 5 years, including as a Product Manager.

Former COO at Y Combinator. Previously a Group Product Manager at Google. Founded TalkBin.

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