Sensor Fusion

Sensor Fusion Developer Jobs

6 jobs found

8d ago

Software Engineer - ADAS Platform, Sensor Pipeline & AI Inference Optimization

Yoh, A Day & Zimmermann Company Newark, CA

Newark, CA

8d ago

$110 - $140/hr Full time Adas Automotive Software Autonomous Driving

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Job Description

Build next-generation ADAS platform software in Newark, CA (onsite) and help deliver real-time sensor processing and AI inference that performs reliably across embedded hardware. This role focuses on designing and optimizing end-to-end platform capabilities for camera, radar, lidar, ultrasonic, and vehicle sensor pipelines, with special attention to latency, throughput, memory usage, and power efficiency. You will also support safety-critical expectations and ISO 26262 compliance as part of a cross-functional engineering effort.

What you will deliver

Design and optimize ADAS platform software for camera, radar, lidar, ultrasonic, and vehicle sensor pipelines.
Create scalable middleware, frameworks, and infrastructure that support ADAS and autonomous driving systems.
Optimize AI inference workloads using TensorRT, CUDA, ONNX Runtime, NVIDIA DriveWorks, and OpenCL.
Improve latency, throughput, memory utilization, and power efficiency through systematic profiling and performance tuning.
Optimize perception, tracking, image processing, and sensor fusion across CPU, GPU, and hardware accelerators.
Develop deterministic real-time software for Embedded Linux and QNX platforms.
Design low-latency data movement and communication components, including IPC, shared-memory, DMA, and zero-copy frameworks.
Support ISO 26262 compliance, safety reviews, and automotive reliability requirements.
Collaborate closely with Perception, ML, Systems, Hardware, and Functional Safety teams.

What you bring

10+ years of software development experience.
5+ years in ADAS, autonomous driving, robotics, embedded AI, or high-performance embedded systems.
Proven experience delivering production automotive software.
Expertise in C++14/17+, modern C++ design patterns, multithreading, and memory management.
Strong experience with QNX Neutrino RTOS, Embedded Linux, IPC, and real-time systems.
Deep expertise in CUDA, TensorRT, GPU memory management, profiling, and performance optimization.
Experience deploying AI/ML models on embedded automotive platforms.

Helpful domain knowledge

ADAS software architecture
Perception pipelines
Sensor fusion
Functional safety concepts (ISO 26262)

Preferred background

Experience with NVIDIA DRIVE platforms, DriveWorks, perception systems, sensor fusion, and autonomous driving software architectures.

Compensation & schedule

Estimated hourly rate: USD $110 - $140

Onsite role in Newark, CA.

Benefits

Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week)
Health Savings Account (HSA) (for employees working 20+ hours per week)
Life & Disability Insurance (for employees working 20+ hours per week)
MetLife Voluntary Benefits
Employee Assistance Program (EAP)
401K Retirement Savings Plan
Direct Deposit & weekly epayroll
Referral Bonus Programs
Certification and training opportunities

Technologies you will use

C++14/17+, C++
CUDA, TensorRT, ONNX Runtime
NVIDIA DriveWorks
OpenCL
QNX Neutrino RTOS, Embedded Linux
IPC
ISO 26262
Embedded AI
NVIDIA DRIVE platforms
DMA

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9d ago

Robotics Software Engineer

Asylon Norristown, PA

Norristown, PA

9d ago

$90k - $130k/yr Full time Application Security Automation Cloud Platform

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Job Description

Asylon’s Robotics Software Engineer builds and improves software for autonomous navigation and related capabilities on autonomous ground robots (UGVs).

Responsibilities

Develop clean, modular, well-documented software for ground robots, including DroneDog and the Spot-based quadruped, to deliver new user-facing features and improve reliability
Build core autonomy capabilities: autonomous ground robot navigation, global and local motion planning, SLAM, dynamic obstacle avoidance, and sensor fusion
Integrate, calibrate, and filter data streams from sensors including LiDAR, cameras, IMUs, wheel encoders, and GPS/RTK
Coordinate and test product updates using Software in the Loop (SIL) and Hardware in the Loop (HIL)
Diagnose and resolve technical software issues observed during development and in the field
Analyze deployment telemetry, logs, and system performance metrics to perform root-cause analysis on unexpected robot behaviors or software failures
Partner with customer success to translate customer pain points into bug fixes, diagnostic tools, and new features

Requirements

Bachelor’s or Master’s degree in Robotics, Computer Science, Electrical Engineering, or a related technical field
2+ years of professional experience with software development on robotic systems
Python proficiency and experience with other high-level programming languages
Hands-on experience with Linux
Experience with CI/CD, Docker containers, and Git workflows
Ability to work from Asylon headquarters

Technologies

Python
Linux
CI/CD
Docker
Git
LiDAR
cameras
IMUs
wheel encoders
GPS/RTK
Software in the Loop (SIL)
Hardware in the Loop (HIL)

Benefits

401(k)
Dental insurance
Health insurance
Life insurance
Vision insurance

Preferred Qualifications

Experience deploying software on resource-constrained embedded systems
Experience with remote diagnostic tools, telemetry platforms, and remote OTA (over-the-air) update systems
Experience with physics simulators
Familiarity with computer vision frameworks and deep learning models

Physical Requirements

Traverse approximately 600 ft each way to the test cell, including uphill and uneven terrain
Stand and remain on-site outdoors for extended periods (up to 3 hours at a time) during test sessions
Work in varying weather conditions (heat, cold, wind, precipitation) as dictated by test schedules
Occasionally lift/carry test equipment, laptops, or field gear (up to 20 lbs)

Location, Salary, and Experience

Location: Norristown, PA (onsite)
Salary: USD 90,000 - 130,000 per year
Minimum experience: 2 years
Work location: In person
Ability to commute: Norristown, PA 19401 (Required)

Application Question

Are you a U.S. Person as defined by 22 C.F.R. §120.62 (Yes or No)

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22d ago

Autonomy Senior Machine Learning Engineer

Joby Aviation Santa Cruz, CA

Santa Cruz, CA

22d ago

$181k - $250k/yr Full time Artificial Intelligence Autonomous Vehicles Data Pipeline

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Job Description

Build reliable autonomy as a Senior Machine Learning Engineer on Joby Aviation’s Superpilot autonomy stack, designing and delivering state-of-the-art perception and reasoning capabilities for autonomous flight. Based in Santa Cruz, CA (onsite), this role centers on a data-centric approach spanning simulation, mapping, and advanced sensing, paired with production-focused training and evaluation.

Compensation: USD 180,500 - 250,000 per year. Experience level: 8+ years in machine learning. Education: degree in computer science, aerospace engineering, or a related field.

What you’ll work on

Design, train, and maintain state-of-the-art ML models for perception on autonomous aircraft
Combine deep learning and 3D computer vision for sensor fusion, navigation, and detect-and-avoid
Build high-performance training pipelines and extensive evaluation systems to support reliability and quality
Optimize and tune real-time AI perception algorithms for autonomous aircraft
Support software development for data management, annotation, and curation
Contribute to autonomy modeling, simulation, and analysis tooling
Collaborate with the Superpilot™ team to ideate, plan, and execute high-quality, well-integrated solutions
Monitor system health and performance, proactively addressing issues and providing user support

Requirements

Degree in computer science, aerospace engineering, or related field
8+ years of experience in machine learning
Experience building software and systems for autonomous vehicles
Strong proficiency in Python
Extensive practical knowledge of state-of-the-art models for real-time perception
Deep understanding of 3D computer vision and machine learning for video
Ability to invent and prototype technical solutions in autonomy
Proven ability to document complex technical designs, architectural trade-offs, and implementation roadmaps
Champion of software best practices, including rigorous code reviews and mentorship
Excellent communication skills for collaborating with cross-functional teams

Key technologies

Python
MLflow, Kubeflow
ROS2, DDS
C++
GPS, inertial, ADS-B, air data, radio data

Benefits

Paid time off
Healthcare benefits
401(k) plan with a company match
Employee stock purchase plan (ESPP)
Short-term and long-term disability coverage
Life insurance

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29d ago

Senior Embedded Software Engineer

Integrated Solutions for Systems, Inc. Dayton, OH

Dayton, OH

29d ago

$175k - $200k/yr Full time Electrical Engineering Senior Embedded Linux

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Job Description

Integrated Solutions for Systems, Inc. is hiring a Senior Embedded Software Engineer in Dayton, OH (onsite) to support the R-EGI program, focused on resilient PNT for military aircraft. In this role, you will develop, integrate, and test embedded C/C++ software that processes navigation inputs and helps qualify system performance through hands-on engineering and verification activities.

This position emphasizes practical embedded Linux development, sensor and interface integration, and system-level troubleshooting, alongside collaboration with navigation engineers to evaluate sensor fusion and estimation. You will also contribute to testing strategy, code quality through reviews and releases, and technical milestones tied to formal program reviews and qualification.

Responsibilities

Design, develop, test, and maintain embedded C/C++ software for navigation processing, device interfaces, middleware, and system control.
Develop and debug software on embedded Linux, including work with device drivers, operating system services, and hardware interfaces.
Integrate GPS/GNSS receivers, IMUs, and other navigation inputs; collaborate with navigation engineers on sensor-fusion and estimation functions.
Diagnose system-level issues involving software timing, sensor data, electrical interfaces, and hardware behavior.
Support hardware bring-up and software integration in laboratory and system integration lab environments.
Develop automated tests, diagnostic tools, and scripts that improve software integration, regression testing, and troubleshooting.
Support simulation, software-in-the-loop, and hardware-in-the-loop testing, including performance evaluation when GPS is degraded or unavailable.
Translate system and interface requirements into software designs, test procedures, and verification evidence.
Participate in code reviews, configuration management, defect resolution, and software releases.
Support technical reviews and program milestones including PDR, CDR, TRR, and qualification activities.
Mentor less experienced engineers and help the team resolve complex embedded software issues.

Requirements

Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a closely related technical field.
8+ years of embedded software engineering experience.
Strong proficiency in C and C++ for embedded or real-time applications.
Hands-on experience developing, integrating, and debugging software on embedded Linux systems.
Experience working with hardware interfaces, device drivers, or low-level software, including diagnosing hardware/software integration issues.
Experience using laboratory tools such as oscilloscopes, logic analyzers, or debuggers to troubleshoot embedded systems.
Experience with software requirements, interface definitions, verification, and configuration management.
Experience with Git, cross-compilation toolchains, and automated builds.
Ability to obtain and maintain a DoD Secret security clearance.

Technologies

C, C++, embedded Linux, GPS/GNSS, IMUs, Git, cross-compilation toolchains, oscilloscopes, logic analyzers, debuggers

Benefits

Competitive salary with comprehensive health and wellness benefits
Dynamic and collaborative work environment
Employee ownership
Medical, dental, and vision care plans
Paid time-off and parental leave programs
Group term life insurance
401(k) retirement plan
Tuition Assistance, Training, and education development offerings

Preferred Qualifications

Experience with military aviation PNT systems, GPS/GNSS receivers, IMUs, inertial navigation systems, or integrated GPS/INS solutions.
Experience with navigation estimation, Kalman filtering, sensor fusion, or operation in GPS-degraded and GPS-denied environments.
Experience with aircraft avionics interfaces such as MIL-STD-1553 or ARINC 429.
Experience developing and integrating systems using modern embedded processing platforms, such as the AMD/Xilinx Zynq UltraScale+ MPSoC.
Experience with real-time Linux, VxWorks, INTEGRITY, or another real-time operating system.
Experience with software-in-the-loop or hardware-in-the-loop testing and system integration labs.
Proficiency in Python for test automation, data analysis, or diagnostic tools.
Ability to read electrical schematics, interface diagrams, and hardware documentation.
Experience supporting formal software qualification or airworthiness activities.
Active DoD Secret clearance or higher.

Salary: USD 175,000 - 200,000 per yearly.

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1mo ago

Senior Software Engineer

Lynx Software Technologies, Inc. Fort Worth, TX

Fort Worth, TX

1mo ago Closed

$120k - $164k/yr Full time Backend Developer Electrical Engineering Senior

This position is no longer accepting applications (closed Oct 24, 2026).

Job Description

Lynx Software Technologies, Inc. is building embedded software products for autonomous flight systems, with a focus on autonomy integration, test, and validation. This Senior Software Engineer role supports the development, integration, and testing of embedded capabilities used in autonomous flight, operating from Fort Worth, TX or Palmdale, CA on an onsite basis.

The position supports work across engineering teams, including independent execution at times and collaboration with other software and program development and deployment groups. A Secret clearance is required, along with 25% travel.

Role focus

Develop, integrate, and test embedded software products for autonomous flight systems.
Apply software engineering principles and concepts across the software development lifecycle.
Coordinate with clients and peers on technical solutions and share professional project status updates.

What you’ll do

Develop, integrate, and test software products using a broad application of software field principles, theories, and concepts.
Balance independent project work with collaborative delivery in a team environment.
Communicate project status professionally and collaborate on technical solutions with clients and peers.

Required qualifications

Bachelor’s degree in computer engineering, Computer Science, or a related technical discipline.
5+ years of strong software development experience for embedded systems using C, C++, Java, Python, and Bash for automation, testing, and application development.
Experience developing and configuring autonomous flight systems using ArduPilot and/or PX4.
Experience with UAS/UAV or RC aircraft operations, integration, and troubleshooting.
Proficiency with Git including branching strategies, code reviews, and collaborative development.
Understanding of robotics and autonomous systems, including flight software, sensor integration, and embedded system design.
Proficiency with Linux and Windows development environments.
Ability to professionally communicate project status and collaborate on technical solutions with clients and peers.
Ability to obtain a Secret DoD security clearance.
25% Travel.

Technologies and tools

Languages and platforms: C, C++, Java, Python, Bash; Linux, Windows; microcontrollers; embedded hardware platforms.
Autonomy and flight systems: ArduPilot, PX4; MAVLink; MAVLink telemetry; command-and-control messaging; mission planning; ground control stations; perception, computer vision, and sensor fusion.
Software engineering and delivery: Git; Docker; CI/CD.
Planning and documentation tools: Atlassian Tools including Confluence, JIRA, Bitbucket.
Hardware documentation: electrical schematics.

Compensation and location

Location: Fort Worth, TX or Palmdale, CA (onsite)
Base salary: $120,000 - $164,000 per year
Bonus: Bonus Eligible

Benefits

Low-cost Medical / Dental / Vision coverage options
401K with generous employer match
Responsible Paid Time Off + Paid Holidays
Remote work opportunities based on role
Employee Assistance Program (EAP)
Career growth and professional development opportunities

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1mo ago

Machine Learning Engineer

Liquid XR Los Angeles, CA

Los Angeles, CA

1mo ago Closed

Full time Ai Ml Artificial Intelligence Data Pipeline

This position is no longer accepting applications (closed Sep 29, 2026).

Job Description

LiquidXR is seeking a Machine Learning Engineer to help build advanced models that turn multimodal time-series sensor data into meaningful signals. In this hybrid role based in Los Angeles, you will focus on robust real-time algorithms that perform reliably with noisy, high-frequency inputs.

The work spans modeling, training strategy, and practical deployment, from research-style experimentation through to production-grade inference under latency and compute constraints.

What you’ll do

Design and implement machine learning models for time-series and sequential data
Develop algorithms to extract structured signals and latent variables from noisy sensor inputs
Build and optimize real-time inference pipelines with latency and compute constraints
Apply multi-modal learning and sensor fusion techniques
Replace or augment classical signal processing pipelines with learned models
Design training strategies for windowed and streaming data
Design training strategies for weakly labeled or partially observed datasets
Design training strategies for multi-task learning setups
Evaluate models using both statistical metrics and application-driven performance criteria
Collaborate with cross-functional teams to take models from research to production
Explore architectures including Temporal Convolutional Networks (TCNs)
Explore architectures including RNNs, LSTMs, and GRUs
Explore architectures including Transformer-based sequence models

What you bring

Strong experience with machine learning for time-series data
Experience with transfer learning and knowledge distillation techniques
Proficiency in Python and PyTorch (or similar frameworks)
Solid understanding of signal processing fundamentals including filtering, noise, and the frequency domain
Experience working with real-world, noisy datasets
Experience building or deploying low-latency or real-time systems
Experience with sensor data such as IMUs
Familiarity with sensor fusion methods such as Kalman filters and probabilistic models
Experience with multi-modal or multi-task learning
Exposure to embedded or edge deployment constraints
Background in applied domains involving physical systems or human data
BSc or MSc in quantitative fields such as computer science, engineering, physics, or applied math
Ability to reason about temporal structure, causality, and latency
Strong intuition for modeling tradeoffs versus deployment constraints
Comfort working with imperfect, real-world data
End-to-end ownership from modeling through validation to deployment
Self-starter mindset with the ability to catch the vision and run with it
Clear communicator and effective collaborator with cross-functional teams
Ability to manage multiple priorities without sacrificing quality
Detail-oriented approach focused on high-quality and well-documented work
Ownership mindset with full accountability from concept to completion

Tools and technologies

Python
PyTorch
RNNs
LSTMs
GRUs
Transformer-based sequence models
Temporal convolutional networks (TCNs)
Kalman filters

Benefits

Employee stock option program
Health care benefits: currently, gold PPO coverage with Blue Shield, plus dental and vision, starting within 30 days of employment
Open PTO company

Location: Los Angeles, CA (hybrid). Employment: Full-time employee position, working remotely or in the Los Angeles office. Compensation: Commensurate with experience and competitive with the market. Travel: Occasional domestic and international travel may be required.

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Sensor Fusion Developer Jobs

Software Engineer - ADAS Platform, Sensor Pipeline & AI Inference Optimization

Robotics Software Engineer

Autonomy Senior Machine Learning Engineer

Senior Embedded Software Engineer

Senior Software Engineer

Machine Learning Engineer

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