Sensor Integration Engineer (The Data Fusion Specialist)
Unreal Gigs
San Francisco, california
Job Details
Full-time
Full Job Description
Are you passionate about integrating advanced sensor technologies to enable intelligent, data-driven systems? Do you excel at fusing data from multiple sensors to create precise, reliable, and real-time insights? If you’re ready to build the sensory “nervous system” of modern machines, our client has the perfect role for you. We’re looking for a Sensor Integration Engineer (aka The Data Fusion Specialist) to lead the design, integration, and calibration of sensors that empower cutting-edge robotics, autonomous systems, and industrial automation.
As a Sensor Integration Engineer at our client, you’ll collaborate with cross-functional teams to select, configure, and integrate sensors into complex systems. Your expertise in sensor technologies, data fusion, and signal processing will be essential in creating responsive, reliable systems that can operate accurately in dynamic environments.
Key Responsibilities:
- Select and Integrate Sensor Technologies:
- Evaluate and choose appropriate sensors, including LIDAR, cameras, IMUs, GPS, and proximity sensors, based on project requirements. You’ll ensure each sensor meets the functional, environmental, and performance needs of the system.
- Develop and Implement Sensor Fusion Algorithms:
- Design algorithms to combine data from multiple sensors, enabling accurate perception and real-time decision-making. You’ll work with sensor fusion techniques such as Kalman filters, Bayesian networks, and machine learning models.
- Calibrate and Test Sensors for Optimal Performance:
- Perform calibration and validation tests on sensors to ensure accuracy, repeatability, and reliability. You’ll fine-tune sensor parameters for optimal performance under varying operational conditions.
- Collaborate on System Architecture and Hardware Integration:
- Work closely with hardware and software teams to integrate sensors into larger systems, ensuring seamless data flow and compatibility. You’ll design interfaces and protocols for efficient sensor communication.
- Troubleshoot and Optimize Sensor-Related Issues:
- Identify and resolve issues related to sensor drift, noise, alignment, and interference. You’ll use diagnostic tools and signal processing techniques to ensure robust data output.
- Document Sensor Configurations and Integration Procedures:
- Maintain detailed documentation for sensor configurations, calibration processes, and integration protocols. You’ll ensure comprehensive records for maintenance, troubleshooting, and future enhancements.
- Stay Updated on Emerging Sensor and Data Fusion Technologies:
- Continuously research advancements in sensor technology, data fusion, and signal processing. You’ll evaluate new tools and techniques that can enhance system capabilities and accuracy.
Requirements
Required Skills:
- Sensor Technology Knowledge: Proficiency with various sensors (e.g., LIDAR, radar, ultrasonic, IMUs) and understanding of their operating principles and limitations.
- Data Fusion and Signal Processing Expertise: Strong experience in sensor fusion algorithms, including Kalman filtering, sensor alignment, and machine learning applications in data fusion.
- Programming Skills in Python, C++, or MATLAB: Proficiency in programming languages commonly used for sensor integration, with experience in ROS (Robot Operating System) or similar frameworks.
- Hands-On Calibration and Testing: Experience in calibrating sensors and conducting field tests to ensure accuracy and reliability in real-world applications.
- Analytical and Problem-Solving Skills: Ability to troubleshoot sensor issues and optimize system performance through data analysis and signal processing techniques.
Educational Requirements:
- Bachelor’s or Master’s degree in Electrical Engineering, Robotics, Computer Science, or a related field. Equivalent experience in sensor integration and data fusion may be considered.
- Certifications or specialized training in sensor technologies, robotics, or signal processing are advantageous.
Experience Requirements:
- 3+ years of experience in sensor integration, data fusion, or a related field, with a focus on robotics, autonomous systems, or industrial automation.
- Familiarity with data processing libraries (e.g., OpenCV, NumPy) and experience with embedded systems (e.g., NVIDIA Jetson) for real-time applications.
- Experience in debugging and optimizing sensor performance in dynamic environments is a plus.
Benefits
- Health and Wellness: Comprehensive medical, dental, and vision insurance plans with low co-pays and premiums.
- Paid Time Off: Competitive vacation, sick leave, and 20 paid holidays per year.
- Work-Life Balance: Flexible work schedules and telecommuting options.
- Professional Development: Opportunities for training, certification reimbursement, and career advancement programs.
- Wellness Programs: Access to wellness programs, including gym memberships, health screenings, and mental health resources.
- Life and Disability Insurance: Life insurance and short-term/long-term disability coverage.
- Employee Assistance Program (EAP): Confidential counseling and support services for personal and professional challenges.
- Tuition Reimbursement: Financial assistance for continuing education and professional development.
- Community Engagement: Opportunities to participate in community service and volunteer activities.
- Recognition Programs: Employee recognition programs to celebrate achievements and milestones.