Senior Computer Vision Systems Engineer

Phantom AI
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Job Description

About Us

At Phantom AI, we’ve built a team of incredibly talented and ambitious people challenging the norm in the automotive industry. If you feel that you have the passion, commitment, and drive to challenge the status quo within the automotive industry, we would love to hear from you. 

We are building cost-effective L2/L3 autonomous solutions to reduce the burden of everyday driving and make the roads safe for everyone. For instance, we believe democratizing technologies such as Automatic Emergency Braking and Emergency Lane Support is the first priority before tackling a fully self-driving vehicle. Our main customers are Tier 1 automotive manufacturers who are focused on delivering L2/L3 autonomous solutions and in the future will deliver full autonomy. We differentiate ourselves from other autonomous driving startups through a combination of state-of-the-art technological know-how and real automotive experiences of shipping ADAS systems at volume production scale.

Job Responsibilities

  • Take over the vision pipeline framework and tailor it for Nvidia/Renesas
  • Design, implement, document, test, and integrate features to optimize Phantom AI's computer vision algorithms for various embedded platforms with memory and compute constraints
  • Analyze and optimize the software stack in a heterogeneous computing environment
  • Help drive the integration and development of necessary tooling and automation (profiling, testing/verification, monitoring, etc) that allows the team to move faster and more confidently

Required Skills

  • 5+ years working on embedded computer vision systems
  • Industry C/C++ programming experience with a focus on Linux and embedded environments
  • Familiarity with Operating Systems concepts
  • Familiarity with Computer Vision concepts

Preferred Skills

  • Worked with embedded SoCs such as TI TDAx, Nvidia Tegra, and Renesas V3x
  • Familiarity with embedded Linux and multi-threaded programming
  • Worked with ROS/ROS 2, RTOS such as QNX, FreeRTOS, Threadx, etc.
  • Deep understanding of computer architecture, operating systems, and heterogeneous computing 
  • Had hands-on experience in robotics or autonomous systems
  • Familiarity with assembly

Education & Experience

  • MS/PhD in Computer Vision/Robotics related field or equivalent practical experience
  • Excellent C/C++ programming and software design skills
  • Experience in OpenCV or OpenVX Experience in CUDA

Benefits

We offer our employees a comprehensive benefits package including:

  • Salary $170,000-$240,000
  • Medical, dental, and vision coverage
  • Office snacks & reimbursable meals*
  • Paid Time Off 
  • FSA
  • 401K

Work Type

Hybrid - Phantom AI follows this type of working experience to allow employees the flexibility to work weekly at the office 3x and from home 2x.

Equal Opportunity for Diversity & Inclusion

Phantom AI provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Company Info.

Phantom AI

At Phantom AI, we’ve built cost effective level 2/3 solutions to reduce the burden of everyday driving and make the roads safe for everyone. For instance, we believe democratizing technologies such as Automatic Emergency Braking and Emergency Lane Support is the first priority before tackling a fully self-driving vehicle. Our main customers are Tier 1 automotive manufacturers who are focused on delivering level 2/3 solutions and in the future wil

  • Industry
    Artificial intelligence
  • No. of Employees
    200
  • Location
    Mountain View, CA, USA
  • Website
  • Jobs Posted

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Phantom AI is currently hiring Senior Computer Vision Engineer Jobs in Mountain View, CA, USA with average base salary of $170,000 - $240,000 / Year.

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