Perception Algorithm Senior Engineer

Inceptio Technology · Other US Location

Company

Inceptio Technology

Location

Other US Location

Type

Full Time

Job Description

Inceptio Technology is a global self-driving truck company based in Silicon Valley, California, and is currently one of the biggest companies working on autonomous driving technology. Our vision is to build the most trustworthy autonomous freight service network. We form close relationships with freight, logistics and automotive partners to transform the line-haul transportation industry. Our goal is to provide safe and efficient logistical assets at an optimized cost.

Established in April 2018, Inceptio Technology has brought together a world class team to develop Level 2+, Level 3 and Level 4 autonomous technology. At Inceptio, you will work on a wide range of technologies ranging from computing platform, software solution to full system verification and validation.

We are seeking a highly skilled and motivated Perception Algorithm Engineer to join our autonomous driving perception software development team. As an engineer of the team, you will play a crucial role in the development of perception software and systems that enable our autonomous vehicles to understand and interpret their surroundings accurately. The perception software will be deployed on our in-house designed computing platform integrated into heavy-duty trucks. You will work closely with a multidisciplinary team of software engineers, hardware engineers and data scientists to build state-of-the-art perception capabilities for our autonomous trucks.

Responsibilities:

  • Analyze the requirements from product features and hardware system constraints.
  • Stay updated with the latest advancements in model optimization from the industry and apply cutting-edge academic research to the company's business scenarios;
  • Work closely with algorithm team for problem analysis, algorithm design and verification.
  • Participate the perception solution and software architecture design.
  • Collaborate with relevant teams and engineers for a seamless onboard software development.
  • Provide reasonable suggestions from an engineering perspective and collaborate with algorithm engineers to complete algorithm deployment and optimization

Requirements:

  • Master's degree or higher in Computer Science, Automation, Robotics, Mathematics, or related fields, with at least 5 years of relevant work experience; or a Ph.D. in related fields with at least 2 year of work experience
  • Deep understanding of deep learning, computer vision, and image processing principles, with a solid theoretical foundation and practical experience. Proficient in using at least one deep learning framework (e.g., TensorFlow, PyTorch).
  • Deep understanding and knowledge with state-of-the-art works in deep learning algorithms on object detection, tracking, segmentation etc
  • Strong mathematical modeling skills, familiar with multi-view geometry, machine learning theories, and algorithms
  • Fluent in Chinese, capable of frequent travel to China or relocation to China, and able to work effectively with development teams in the China office.

Preferred Skills and Experience:

  • Experience with AI product development.
  • Experience in SoC software development.
  • Experience with ADAS, Autonomous Driving or Robotics development.

Company Benefits

  • Competitive salary and benefits
  • PTO/Paid Holidays/Paid Sick Leave
  • 100% Company paid Medical, Vision, and Dental insurance plan
  • Company 401(K) matching program: 3%
  • Company paid life /AD&D insurance
  • Cell phone subsidy
  • Company provided Lunch & Dinner Monday - Friday
  • Visa sponsorship is available for this position.
  • Opportunity for professional growth and career advancement

 

Compensation:

  • The US Annual total cash range for this full-time position is $150,000 - $300,000.
  • Individual pay is determined by work location and additional factors, including work location, job-related skills, years of experience, and relevant education or training.
  • Please note that the compensation details listed in US role postings reflect the annual total cash including discretional bonus, and do not include equity and other benefits.
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Date Posted

09/30/2024

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