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Perception Algorithm Engineer Jobs in Pennsylvania

Software Engineer

Pittsburgh, PA · On-site

$200K - $400K/yr

You will work at the intersection of robotics, perception, and systems engineering-designing ... Optimize algorithms for low-latency performance and high reliability in production environments

$115K - $173K/yr

Utilizing state-of-the-art tools in machine perception, autonomy, and data fusion * Develop data ... Collaborate with computer vision algorithm developers and data scientists to integrate machine ...

In this role, you will work hands-on with robotic platforms, autonomy algorithms, sensors, and ... perception, planning, or robotic behaviors • Work closely with senior engineers to diagnose ...

In this role, you will work hands-on with robotic platforms, autonomy algorithms, sensors, and ... perception, planning, or robotic behaviors • Work closely with senior engineers to diagnose ...

Robotics Software Engineer

Pittsburgh, PA · On-site

$100K - $300K/yr

... perception. You should be comfortable working with both general-purpose and specialized robotics ... including algorithms, data structures, and system design. * Familiarity with machine learning ...

$92K - $174K/yr

Microcontroller programming and lowlevel embedded development * Linux experience * Scripting with ... algorithms such as sensor fusion, Kalman filtering, state estimation, or embedded perception ...

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Perception Algorithm Engineer information

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

To thrive as a Perception Algorithm Engineer, you need a strong background in computer vision, machine learning, and programming (typically C++ or Python), often supported by a degree in computer science, robotics, or a related field. Familiarity with tools like TensorFlow, PyTorch, OpenCV, and ROS, as well as experience with sensor data (e.g., LiDAR, cameras), is crucial. Strong analytical thinking, problem-solving abilities, and effective teamwork are standout soft skills for this role. These skills are vital to develop robust perception systems that enable autonomous vehicles and robots to interpret and interact safely with complex real-world environments.

What is a Perception Algorithm Engineer?

A Perception Algorithm Engineer is a professional who develops algorithms that enable machines—such as autonomous vehicles or robots—to interpret and understand sensory data from their environment. This typically involves processing data from cameras, lidar, radar, and other sensors to identify objects, track movement, and understand surroundings. Perception Algorithm Engineers work with computer vision, sensor fusion, and machine learning techniques to create reliable and efficient perception systems. Their work is crucial in making machines aware of their surroundings and enabling them to respond appropriately. They often collaborate with hardware, software, and robotics teams to integrate their algorithms into real-world applications.

What are some common challenges faced by Perception Algorithm Engineers when integrating their solutions into autonomous systems?

Perception Algorithm Engineers often encounter challenges when ensuring their algorithms perform reliably in diverse real-world environments, such as varying lighting, weather conditions, and sensor noise. Integrating algorithms with hardware requires close collaboration with robotics and systems engineering teams to optimize performance and latency. Additionally, balancing accuracy with computational efficiency is crucial, as perception modules must run in real time on embedded systems. Addressing these challenges involves rigorous testing, continuous model improvement, and effective cross-functional communication.
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Software Engineer

Software Engineer

Solomon Page

Pittsburgh, PA • On-site

$200K - $400K/yr

Full-time

Re-posted 9 days ago


Job description

Our client is a small growing company based in Pittsburgh, PA that develops software for robotics and autonomous vehicles. They seek a Software Engineer specializing in C++ to build high-performance systems for sensor calibration, localization, and trajectory estimation in autonomous platforms. This role focuses on developing robust, production-grade software that enables accurate positioning and reliable autonomy in real-world environments. You will work at the intersection of robotics, perception, and systems engineering-designing scalable C++ solutions that power core autonomy capabilities such as sensor alignment, multi-sensor fusion, and real-time state estimation. They work in a Hybrid environment about 3 days a week in the office but there is flexibility depending on the situation. They will also consider 100% remote work for stars (people with strong backgrounds solving autonomy problems). The founders are very accomplished in the Autonomous Vehicle industry and have created a terrific culture with an excellent work/life balance.
  • The pay range for the role is $200,000 to $400,000 depending on experience level. The client cant does not sponsor at this time they will only consider US Citizens or Green Card holders.
Responsibilities:
Core C++ Systems Development
  • Design, develop, and maintain high-performance C++ software for calibration and localization systems
  • Implement efficient, scalable modules for real-time robotics applications
  • Optimize algorithms for low-latency performance and high reliability in production environments
  • Write clean, maintainable, and testable code following modern C++ best practices
Sensor Calibration
  • Develop C++ pipelines for intrinsic and extrinsic calibration of sensors (LiDAR, cameras, radar, IMU)
  • Build automated calibration workflows for both production deployment and rapid prototyping
  • Implement calibration validation, monitoring, and drift detection mechanisms
  • Contribute to and extend internal calibration frameworks and toolchains
Localization & State Estimation
  • Develop high-performance localization systems using:
    • GNSS/INS fusion
    • Visual-inertial odometry (VIO)
    • LiDAR-based localization
  • Implement and optimize multi-sensor fusion algorithms in C++
  • Build accurate robot trajectory estimation and tracking systems
  • Improve robustness in GPS-denied or dynamic environments
System Integration
  • Integrate localization outputs with downstream systems such as perception, motion planning, and control
  • Ensure consistent coordinate frames, synchronization, and data flow across the autonomy stack
  • Collaborate on system-level architecture and performance tuning
Performance Optimization & Validation
  • Profile and optimize CPU and memory usage for real-time systems
  • Build tools for system validation, debugging, and performance monitoring
  • Perform offline data analysis and replay using recorded sensor data
  • Ensure reliability across large-scale deployments
Cross-Functional Collaboration
  • Work closely with robotics, hardware, perception, and ML teams
  • Support deployment and field teams with debugging and tooling
  • Contribute to prototype development and productionization of autonomy features

Basic Qualifications:
  • Bachelor's or master's degree in computer science, Robotics, Electrical Engineering, or related field
  • 3+ years of professional software development experience
  • Strong proficiency in C++ (modern C++11/14/17/20)
  • Experience building high-performance, real-time systems
  • Solid understanding of:
    • Data structures, algorithms, and systems programming
    • Linear algebra and 3D geometry
    • Multithreading and concurrency
    • Previous experience in robotics or autonomous vehicles is not required.

Preferred Qualifications:
  • Experience in robotics, autonomy, or sensor-based systems
  • Familiarity with localization, SLAM, or sensor fusion algorithms
  • Experience with frameworks and libraries such as:
    • ROS / ROS2
    • GTSAM, Ceres Solver, Eigen
  • Exposure to sensor calibration techniques and pipelines
  • Experience integrating ML components into C++ systems

Nice to Have:
  • Experience with autonomous vehicles, drones, or mobile robotics
  • Background in real-time or embedded systems
  • Experience with GPU acceleration (CUDA) or performance optimization
  • Familiarity with Python for tooling and prototyping
  • Experience working on scalable production systems or POC development

What Success Looks Like:
  • High-performance, reliable C++ systems deployed in production autonomy stacks
  • Accurate and maintainable calibration and localization pipelines
  • Efficient real-time processing of multi-sensor data
  • Strong collaboration across engineering teams to deliver integrated autonomy solutions

If you meet the required qualifications and are interested in this role, please apply today.
The Solomon Page Distinction
Our teams, comprised of subject matter experts, develop an interest in your preferences and goals and we act as an advisor for your career advancement. Solomon Page has an extensive network of established clients which allows us to present opportunities that are well-suited to your respective goals and needs - this specialized approach sets us apart in the industries we serve.
About Solomon Page
Founded in 1990, Solomon Page is a specialty niche provider of staffing and executive search solutions across a wide array of functions and industries. The success of Solomon Page reflects an organic growth strategy supported by a highly entrepreneurial culture. Acting as a strategic partner to our clients and candidates, we focus on providing customized solutions and building long-term relationships based on trust, respect, and the consistent delivery of excellent results. For more information and additional opportunities, visit: solomonpage.com and connect with us on Facebook , and LinkedIn .
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