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Senior Systems Engineer - Perception

  • ... Foster, Oregon, United States
  • ... Full time
  • ... Salary: 256000 per year
  • Posted on: Feb 04, 2024       Expires on: Mar 20, 2024

Senior Systems Engineer - Perception   

JOB TITLE:

Senior Systems Engineer - Perception

JOB TYPE:

Full-time

JOB LOCATION:

Foster Oregon United States

JOB DESCRIPTION:

As a member of the Perception team, you will be part of the “eyes and ears” of the Zoox autonomous driving stack, deploying state-of-the-art AI solutions to ensure safe and effective driving.
In this role you will be responsible for designing and building requirements and testing strategies for the Perception system.
Your work will have a broad impact on shipping high performance Machine Learning (ML) models by ensuring we have comprehensive and robust evaluation pipelines to ensure safe and effective driving behavior.
Think you have what it takes to build the best machine learning systems on the planet? Come join us!

Responsibilities

  • You will build large-scale validation and metrics systems using real world structured testing, state-of-the-art simulations, distributed computing, and modern data analysis technologies
  • You will bridge the gap between systems engineering and state-of-the-art machine learning approaches by collaborating with partner teams, designing robust evaluation system architecture, building up scalable metrics/tools, and leading the verification and validation efforts at various levels of abstraction
  • You will develop and evangelize our strategy for data development and model evaluation metrics to ensure safe and effective autonomous driving, including defining objective success criteria for ML model deployment
  • You will analyze and interpret validation outcomes to provide recommendations to improve the performance of the ML models.
  • You will define key performance metrics that will help Perception engineers to directly measure the impact of the new features they are developing on the end-to-end driving behavior.
  • You will stay up-to-date with the latest developments in machine learning validation techniques and best practices for perception in autonomous vehicles.


Qualifications

  • Bachelor's, Master's or PhD in Robotics, electrical engineering, systems engineering or related fields
  • Domain experience working on autonomous vehicles
  • Experience with developing functional requirements driven software components
  • Experience designing and building evaluation systems for classical and deep-learning models, including linking standard model metrics to end-to-end system behavior and key business metrics
  • Strong understanding of statistical analysis, experimental design, and hypothesis testing, including parametrics & non-parametric testing
  • Fluent with Python-based data and statistics frameworks, e.
    g.
    numpy, scipy, pandas, statsmodels and data visualization tools, e.
    g.
    matplotlib, seaborn, plotly
  • Experience with data query languages and common databases, e.
    g.
    SQL, NoSQL, Databases

Bonus Qualifications

  • Experience with automation functional safety standard such as ISO 21448, ISO26262, ASIL, DO-178B/C, etc
  • Have performed hazard analysis using one or more of the following methods: System Theoretic Process Analysis (STPA), qualitative or quantitative Fault Tree Analysis (FTA), Failure Modes and Effects Analysis (FMEA), Hazard and Operability Analysis (HAZOP), Functional Hazard Analysis (FHA), etc
  • Experience on the Artificial Intelligence (AI) stack components of an autonomous vehicle, such as perception, prediction and planner modules
  • Experience building or evaluating Machine Learning (ML) models that operate on raw sensor data (detection, classification, tracking, etc.
    )
  • Experience handling big data, including exposure to distributed data and/or compute, e.
    g.
    Hadoop, Spark, Hive, MapReduce, Databricks

Compensation

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights.
The salary will range from $204,000-$256,000.
A sign-on bonus may be part of a compensation package.
Compensation will vary based on geographic location, job-related knowledge, skills, and experience.


Zoox also offers a comprehensive package of benefits including paid time off (e.
g.
sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.


About Zoox

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market.
Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments.
We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.


Follow us on LinkedIn

Accommodations

If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.
com or your assigned recruiter.


A Final Note

You do not need to match every listed expectation to apply for this position.
Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

Position Details

POSTED:

Feb 04, 2024

EMPLOYMENT:

Full-time

SALARY:

256000 per year

SNAPRECRUIT ID:

S-1707369125-7217378725778e890dbdaa9ac5226eac

LOCATION:

Oregon United States

CITY:

Foster

Job Origin:

jpick2

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As a member of the Perception team, you will be part of the “eyes and ears” of the Zoox autonomous driving stack, deploying state-of-the-art AI solutions to ensure safe and effective driving. In this role you will be responsible for designing and building requirements and testing strategies for the Perception system. Your work will have a broad impact on shipping high performance Machine Learning (ML) models by ensuring we have comprehensive and robust evaluation pipelines to ensure safe and effective driving behavior. Think you have what it takes to build the best machine learning systems on the planet? Come join us!

Responsibilities

  • You will build large-scale validation and metrics systems using real world structured testing, state-of-the-art simulations, distributed computing, and modern data analysis technologies
  • You will bridge the gap between systems engineering and state-of-the-art machine learning approaches by collaborating with partner teams, designing robust evaluation system architecture, building up scalable metrics/tools, and leading the verification and validation efforts at various levels of abstraction
  • You will develop and evangelize our strategy for data development and model evaluation metrics to ensure safe and effective autonomous driving, including defining objective success criteria for ML model deployment
  • You will analyze and interpret validation outcomes to provide recommendations to improve the performance of the ML models.
  • You will define key performance metrics that will help Perception engineers to directly measure the impact of the new features they are developing on the end-to-end driving behavior.
  • You will stay up-to-date with the latest developments in machine learning validation techniques and best practices for perception in autonomous vehicles.

Qualifications

  • Bachelor's, Master's or PhD in Robotics, electrical engineering, systems engineering or related fields
  • Domain experience working on autonomous vehicles
  • Experience with developing functional requirements driven software components
  • Experience designing and building evaluation systems for classical and deep-learning models, including linking standard model metrics to end-to-end system behavior and key business metrics
  • Strong understanding of statistical analysis, experimental design, and hypothesis testing, including parametrics & non-parametric testing
  • Fluent with Python-based data and statistics frameworks, e.g. numpy, scipy, pandas, statsmodels and data visualization tools, e.g. matplotlib, seaborn, plotly
  • Experience with data query languages and common databases, e.g. SQL, NoSQL, Databases

Bonus Qualifications

  • Experience with automation functional safety standard such as ISO 21448, ISO26262, ASIL, DO-178B/C, etc
  • Have performed hazard analysis using one or more of the following methods: System Theoretic Process Analysis (STPA), qualitative or quantitative Fault Tree Analysis (FTA), Failure Modes and Effects Analysis (FMEA), Hazard and Operability Analysis (HAZOP), Functional Hazard Analysis (FHA), etc
  • Experience on the Artificial Intelligence (AI) stack components of an autonomous vehicle, such as perception, prediction and planner modules
  • Experience building or evaluating Machine Learning (ML) models that operate on raw sensor data (detection, classification, tracking, etc.)
  • Experience handling big data, including exposure to distributed data and/or compute, e.g. Hadoop, Spark, Hive, MapReduce, Databricks

Compensation

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $204,000-$256,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.

Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

About Zoox

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

Follow us on LinkedIn

Accommodations

If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.

A Final Note

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

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