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Senior Signal Processing Engineer, Lidar

Company: Argo AI
Location: Palo Alto
Posted on: January 8, 2022

Job Description:

Senior Signal Processing Engineer, Lidar Pittsburgh, PA and Metro Detroit, MI and Palo Alto, CA and Cranbury, NJ Who we are: Argo AI is in the business of building self-driving technology you can trust. With experienced leaders in the field and collaborative partnerships with some of the world's largest automakers, we're building self-driving technology that is engineered to scale globally and transform mobility for millions. - Talented individuals join our team because they share our purpose to make it safe, easy, and enjoyable for everyone to get around cities. We aspire to impact key industries that move people and goods, from ride hailing to deliveries. Meet the team: Argo AI's Lidar team is developing a disruptive Geiger-mode lidar enabling rich point cloud range and resolution beyond what is available in the market today for autonomous vehicles. What this means for our customers is a more capable sensor which enables safer and more performant autonomous perception systems. Our Lidar team has a decade of history in delivering Geiger-mode products for other industries, and we are optimizing our Geiger-mode technology for automotive-oriented mass production. Our design is novel from a technical standpoint and will offer performance essential to scaling the deployment of driverless cars. As a Software Engineer focused on lidar signal processing, you will be responsible for the analysis of signal processing algorithms used to generate range and intensity data from sparse, raw data collected from our Geiger-mode sensors. We're looking for someone who has expertise in building, deploying, and utilizing data analysis tools in addition to applying these techniques to solve challenging signal processing problems. What you'll do: -

  • Develop, analyze, and document statistical signal processing algorithms used in our lidar systems.
  • Review raw lidar data and develop statistical signal models.
  • Evaluate the performance of signal processing algorithms against theoretical performance bounds, simulated and real world environment.
  • Develop scalable data analysis pipelines capable of iterating over massive sets of sensor data.
  • Assist in the development of sparse statistical processing algorithms to analyze raw data generated by Geiger-mode lidar systems, extracting accurate and precise metrics such as range, intensity, and other relevant data.
  • Analyze reference data sets to characterize and calibrate sensor behavior against the performance of various statistical processing algorithms.
  • Develop data analysis tools and automated pipelines to calculate and report summaries of lidar system behavior based on signal processing designs and parameters.
  • Collaborate with Argo's hardware and software teams to improve next generation lidar system designs based on signal processing requirements. What you'll need to succeed:
    • Degree in Computer Engineering, Electrical Engineering, Mechanical Engineering, Physics or a related field.
    • Solid foundation of bayesian statistics, optimization and digital signal processing.
    • Experience in point cloud processing or related algorithms.
    • Experience with Python 3.6+ is critical. Nice to haves:
      • Familiarity with lidar performance metrics like range accuracy and probability of detection.
      • Experience with GmAPD detectors is highly desirable.
      • Knowledge of FPGA high level synthesis is desirable but not required.
      • Experience with PySpark and cloud-based (AWS, GCP) services. What we offer you:
        • High-quality individual and family medical, dental, and vision insurance
        • Competitive compensation packages
        • Employer-matched 401(k) retirement plan with immediate vesting
        • Employer-paid group term life insurance and the option to elect voluntary life insurance -
        • Paid parental leave -
        • Paid medical leave
        • Unlimited vacation
        • Complimentary daily lunches, beverages, and snacks
        • Monthly wellness stipend -
        • Employee assistance program
        • Discounted programs that include legal services, identity theft protection, pet insurance, and more
        • Company and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives Our Background: Argo AI was founded in late 2016 by industry experts with extensive experience building robotic systems for commercial applications. Our once-small team has since grown into an over 1,000-person strong company with strategic partnerships with two of the world's leading automakers: Ford and Volkswagen. Our self-driving system is the first with commercial deployment plans for Europe and the U.S., and thanks to an ability to tap into both automakers' global reach, our technology platform has the largest geographic deployment potential of any self-driving technology to date. At Argo AI, we believe that embracing differences delivers superior results. We are an equal opportunity employer that is committed to an inclusive environment for all employees. We may collect and use personal data submitted in accordance with our Privacy Policy and other privacy notices based on your location. -*
          Argo AI Privacy Policy EU Recruiting & Prospect Employee Privacy Notice Please select Are you presently authorized under U.S. immigration laws to work in the United States? -*
          -- Will you now, or in the future, require sponsorship to continue to be authorized under U.S. immigration law to be employed by Argo AI? -*
          -- How did you hear about this opportunity? -*
          Please select Argo AI is committed to building a diverse and inclusive team of varying backgrounds and perspectives, with the shared goal of making transportation safer and more accessible, affordable, and convenient for all. We recognize the moral and ethical responsibility to create an environment that encourages learning about one another in order to foster an engaging and collaborative workplace. Our policy is that qualified individuals with disabilities not be discriminated against because of their disabilities in regard to job application procedures, hiring, and other terms and conditions of employment. We are pleased to provide reasonable accommodations to qualified individuals with disabilities in all aspects of the employment process. If you require a reasonable accommodation during the job application or interview process, to perform essential job functions, or to receive other benefits and privileges of employment, please contact accommodations@argo.ai . Below is a set of voluntary demographic questions. If you choose to fill them out, the responses will be used to help us strengthen our hiring practices and in accordance with the provisions of applicable laws, executive orders, and regulations, including those that require the information to be summarized and reported to the federal government for civil rights enforcement. Your responses, or your choice to not respond, will not in any way be used in the hiring decision. I identify my gender as:
          Female
          Male
          Non-binary / Third Gender (Inclusive of bigender, agender, androgynous, gender fluid, gender non-conforming)
          Decline to Self Identify
          I identify as transgender:
          Yes
          No
          Decline to Self Identify
          I identify my race/ethnicity as:
          American Indian or Alaskan Native
          Asian
          Black or African American
          Hispanic or Latino
          White
          Native Hawaiian or Other Pacific Islander
          Two or More Races
          Decline to Self Identify
          I identify my sexual orientation as:
          Asexual
          Bisexual, Pansexual and/or Queer
          Gay and/or Lesbian
          Heterosexual
          Decline to Self Identify
          Veteran Status:
          Yes, I am a veteran
          No, I am not a veteran
          Decline to Self Identify

Keywords: Argo AI, Palo Alto , Senior Signal Processing Engineer, Lidar, Engineering , Palo Alto, California

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