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Perception Engineer Remote Jobs in Illinois (NOW HIRING)

Sr Engineering Manager

Chicago, IL ยท On-site +1

$205K - $240K/yr

We are seeking a Senior Engineering Manager to lead multiple engineering teams focused on applying ... Familiarity with technologies related to perception systems, remote sensing, or geospatial data ...

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Perception Engineer Remote information

What does a Perception Engineer do?

A Perception Engineer designs and implements systems that allow machines, such as autonomous vehicles or robots, to interpret and understand their environment using sensors like cameras, LiDAR, or radar. They develop algorithms for object detection, classification, and tracking to enable real-time decision-making. Perception Engineers often work with machine learning, computer vision, and sensor fusion technologies to improve the accuracy and reliability of these systems. Working remotely, they collaborate with cross-functional teams using online tools and platforms. This role is critical in advancing autonomous systems and robotics.

What are some common challenges Perception Engineers face when working remotely, and how can they be addressed?

Perception Engineers working remotely often encounter challenges such as limited access to physical hardware (e.g., sensors, robots, or vehicles) for testing algorithms, and difficulties in real-time collaboration with team members across different time zones. To address these issues, many remote teams rely on advanced simulation tools, cloud-based platforms for data sharing, and regular virtual meetings to ensure alignment. Building strong communication habits and leveraging remote debugging tools can also help maintain productivity and foster effective teamwork.

What are the key skills and qualifications needed to thrive as a Perception Engineer (Remote), and why are they important?

To thrive as a Perception Engineer (Remote), you need a strong background in computer vision, machine learning, and sensor fusion, typically supported by a degree in computer science, robotics, or a related field. Proficiency in programming languages like Python and C++, experience with frameworks such as TensorFlow or PyTorch, and familiarity with tools like ROS are commonly required. Excellent problem-solving skills, effective communication, and the ability to work independently are vital soft skills for remote collaboration. These competencies are crucial for developing robust perception systems that enable autonomous technologies to interpret and interact with their environment accurately.

What is the difference between Perception Engineer Remote vs Computer Vision Engineer?

AspectPerception Engineer RemoteComputer Vision Engineer
Required CredentialsBachelor's or higher in CS, Electrical Engineering, or related; experience with perception algorithmsBachelor's or higher in CS, Electrical Engineering, or related; strong programming skills in Python/C++
Work EnvironmentRemote, collaborative teams, often in autonomous vehicles, robotics, or AIRemote or on-site, working on image processing, object detection, and visual data analysis
Industry UsageAutonomous vehicles, robotics, AI startupsAutomotive, robotics, surveillance, and AI research

While both roles focus on perception and visual data, Perception Engineers Remote typically work on sensor data integration and perception algorithms in autonomous systems remotely, whereas Computer Vision Engineers focus more broadly on image processing and visual data analysis, often in research or product development settings.

What are the most commonly searched types of Perception Engineer jobs in Illinois? The most popular types of Perception Engineer jobs in Illinois are:
What cities in Illinois are hiring for Perception Engineer Remote jobs? Cities in Illinois with the most Perception Engineer Remote job openings:

Sr Engineering Manager

HERE Technologies

Chicago, IL โ€ข On-site, Remote

$205K - $240K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago


Job description

What's the role?

The Mapmaking team sits at the heart of HERE's mission to create the world's most accurate, up-to-date, and intelligent maps. We design and operate scalable pipelines for onboarding massive datasets from customers and partners, while developing and optimizing geospatial processing services that transform raw map inputs into high-quality, production-ready products. Our work spans innovation in AI, big data, and algorithmic evolution to advance how maps are processed, validated, and enriched, supporting both large-scale customer programs with premium automotive brands and multi-industry partners, as well as internal transformation initiatives. The Mapmaking team builds and operates core technologies and services for onboarding, processing, and quality assuring digital map data.

We are seeking a Senior Engineering Manager to lead multiple engineering teams focused on applying AI and machine learning to the automated creation and improvement of HD and SD maps. This role is responsible for developing processes, platforms, and algorithms that extract structured map data from diverse sensor sources including satellite imagery, street-level imagery, radar, vehicle perception data, and LiDAR. The leader will drive the development and application of foundational models and scalable data pipelines that improve map quality, expand coverage, and reduce manual production effort.

Key Responsibilities

  • Lead and grow multiple engineering teams responsible for AI/ML-driven map feature extraction and derivation automation.

  • Define and execute technical strategy for applying machine learning and foundational models to map generation from multimodal sensor data.

  • Drive the development of scalable pipelines that convert raw sensor inputs (imagery, LiDAR, radar, vehicle perception data) into structured map features.

  • Partner with data science, platform, and product teams to operationalize machine learning models in large-scale production systems.

  • Establish engineering practices that improve reliability, throughput, and quality of automated map generation systems.

  • Prioritize and deliver initiatives that increase automation, improve map accuracy, and accelerate global map coverage.

  • Provide technical leadership and mentorship for engineering managers and senior engineers.

  • Align cross-team efforts across data ingestion, model training, model deployment, and validation pipelines.

  • Use data-driven metrics to measure improvements in model performance, automation levels, and map quality.

Who are you?

Qualifications

  • 10+ years of software engineering experience, including significant experience leading engineering teams.

  • Proven experience managing multiple teams or large engineering organizations.

  • Strong background in machine learning, computer vision, or geospatial AI systems.

  • Experience building large-scale data processing pipelines for multimodal sensor data.

  • Familiarity with technologies related to perception systems, remote sensing, or geospatial data processing.

  • Experience deploying ML models into production environments and operating them at scale.

  • Strong leadership, communication, and cross-functional collaboration skills.

Preferred Experience

  • Experience working with geospatial data, HD mapping, or autonomous driving datasets.

  • Familiarity with LiDAR processing, satellite imagery analysis, and computer vision techniques.

  • Experience with large-scale distributed systems and cloud-based ML infrastructure.

  • Background in developing or applying foundation models for perception or geospatial understanding.

The expected base salary range for this position is $205,000 to $240,000 per year. Actual compensation will be based on factors such as skills and experience.ย 

This position is also eligible for a target annual performance bonus, which is subject to company and individual performance.

Life at HERE comes with generous benefits to support your health and overall wellness. Benefits available to US-based HERE employees include health (Medical/Dental/Vision) insurance, retirement savings plans, paid time off & leave policies.ย 

Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, HERE will consider for employment qualified applicants with arrest and conviction records.

HERE is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics.

Under Section 503 of the Rehabilitation Act of 1973 and VEVRAA, we have developed an affirmative action program (AAP) for individuals with disabilities and protected veterans. Portions of the AAP are available for review by applicants and employees through our People Team.

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Who are we?

HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes - from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely.

At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people's lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our YouTube Channel.

Employment Type: OTHER