Latitude AI (lat.ai) develops automated driving technologies, including L3, for Ford vehicles at scale. We’re driven by the opportunity to reimagine what it’s like to drive and make travel safer, less stressful, and more enjoyable for everyone.

When you join the Latitude team, you’ll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering – all dedicated to making a real, positive impact on the driving experience for millions of people. 

As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif.

Meet the team:

The hardware sensing team is responsible for the benchmarking, characterizing, and nomination and integration of all sensors. We work cross functionally with systems, perceptions, vehicle integration to ensure the sensors meet Latitude’s ODD requirements, perception requirements, and that it is integrable and reliable in Ford’s series vehicles. We are expected to understand sensing from a first principle approach and to ensure those principles are designable and manufacturable.  We keep a breadth of all sensing technology, sensing vendors, and integration technologies. Members of the team are expected to be highly multidisciplinary, as successful sensor integration requires expert understanding and comfortability of concepts across many disciplines–from hardware and software.

What you’ll do: 

• Lead technical development of radar or lidar sensing systems from early concept, benchmarking, and sourcing through production launch
• Define sensor performance targets, requirements, evaluation criteria, and validation plans based on vehicle, perception, and ODD needs
• Drive sensor benchmarking and technical down-selection across candidate suppliers and technologies
• Lead supplier technical engagement, including requirements reviews, data reviews, architecture discussions, issue resolution, and design maturity assessments
• Guide architecture and tradeoff decisions related to sensing performance, environmental robustness, packaging, thermal constraints, power, diagnostics, manufacturability, and cost
• Work cross-functionally with systems, perception, firmware, validation, vehicle integration, manufacturing, and quality teams to ensure the sensor meets downstream functional and program needs
• Review test data from supplier, bench, track, and vehicle testing; identify performance gaps; determine root cause; and drive corrective actions
• Assess whether supplier evidence is technically credible by reviewing test conditions, assumptions, filtering, sample quality, boundary cases, repeatability, and alignment to sensor physics and system requirements
• Lead technical reviews and challenge unsupported claims, weak correlation, incomplete validation, and conclusions that do not match observed data or first-principles behavior
• Establish technical plans, milestones, risks, and mitigation strategies to keep sensor programs on track toward nomination and launch
• Communicate technical status, open issues, and tradeoffs clearly to engineering leadership and cross-functional partners

What you'll need to succeed:

• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 7+ years of relevant experience (or Master's degree and 5+ years of relevant experience, or PhD and 2+ years of relevant experience)
• 8+ years of experience in automotive sensing, with deep hands-on expertise in either radar or lidar and demonstrated technical leadership on complex hardware programs
• Strong first-principles understanding of the relevant sensing modality:
  • Radar: RF fundamentals, range/Doppler/angle estimation, resolution, interference, multipath, ghosting, calibration, synchronization, and environmental effects
  • Lidar: time-of-flight or FMCW fundamentals, ranging accuracy, reflectivity effects, point cloud quality, contamination, weather impacts, optical alignment, calibration, and environmental robustness
• Strong scripting and analysis capability in python, including hands-on use of NumPy, pandas, Jupyter, and similar tools to parse logs, evaluate sensor performance, trend issues, and build repeatable analysis workflows
• Ability to work directly with sensor data and debug artifacts, including supplier logs, raw captures, decoded outputs, and vehicle test datasets, and determine whether the data is complete, valid, and physically credible
• Practical experience with day-to-day engineering tools such as Wireshark/PCAP analysis, CAN tools (CANoe/CANalyzer or similar), ROS/rosbag or equivalent logging frameworks, point cloud or radar visualization tools, and common automotive data interfaces such as CAN, CAN FD, and automotive Ethernet
• Ability to independently judge whether supplier test results are correct by evaluating test setup, calibration state, ground truth method, statistical significance, repeatability, boundary conditions, applied filters, KPI definitions, and consistency with known sensor behavior
• Ability to lead and critically assess technical design reviews (TDRs) by identifying weak assumptions, incomplete validation, inconsistent requirements traceability, misleading metrics, and conclusions that are not supported by the underlying data
• Experience translating system and perception needs into sensor requirements, validation methods, and supplier deliverables
• Experience working across hardware, firmware, systems, perception, validation, manufacturing, and supplier teams to drive root cause and resolution
• Strong technical judgment and communication skills, with the ability to make and defend tradeoffs across performance, cost, timing, integration, and reliability

Nice to have: 

• Master’s degree or PhD in Electrical Engineering, Physics, Robotics, Computer Science, or a related field
• Experience leading supplier nomination, sourcing, or technical selection for radar or lidar hardware
• Experience bringing radar or lidar systems into automotive production
• Familiarity with DV/PV, DFMEA, APQP, PPAP, functional safety, automotive quality processes, and production release expectations
• Working knowledge of perception, tracking, calibration, and downstream use of radar or lidar data in automated driving systems
• Experience supporting multiple vehicle platforms or series-production programs

What we offer you:

• Competitive compensation packages
• High-quality individual and family medical, dental, and vision insurance
• Health savings account with available employer match
• Employer-matched 401(k) retirement plan with immediate vesting
• Employer-paid group term life insurance and the option to elect voluntary life insurance
• Paid parental leave
• Paid medical leave
• Unlimited vacation
• 15 paid holidays
• Daily lunches, snacks, and beverages available in all office locations
• Pre-tax spending accounts for healthcare and dependent care expenses
• Pre-tax commuter benefits
• Monthly wellness stipend
• Adoption/Surrogacy support program
• Backup child and elder care program
• Professional development reimbursement
• Employee assistance program
• Discounted programs that include legal services, identity theft protection, pet insurance, and more
• Company and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives

Learn more about Latitude’s team, mission and career opportunities at lat.ai!

The expected base salary range for this full-time position in California is $191,920 - $287,880 USD. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Latitude employees are also eligible to participate in Latitude’s annual bonus programs, equity compensation, and generous Company benefits program, subject to eligibility requirements.

Candidates for positions with Latitude AI must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is available for this position.

We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.

Latitude AI (lat.ai) develops automated driving technologies, including L3, for Ford vehicles at scale. We’re driven by the opportunity to reimagine what it’s like to drive and make travel safer, less stressful, and more enjoyable for everyone.

When you join the Latitude team, you’ll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering – all dedicated to making a real, positive impact on the driving experience for millions of people. 

As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif.

Meet the team:

The hardware sensing team is responsible for the benchmarking, characterizing, and nomination and integration of all sensors. We work cross functionally with systems, perceptions, vehicle integration to ensure the sensors meet Latitude’s ODD requirements, perception requirements, and that it is integrable and reliable in Ford’s series vehicles. We are expected to understand sensing from a first principle approach and to ensure those principles are designable and manufacturable.  We keep a breadth of all sensing technology, sensing vendors, and integration technologies. Members of the team are expected to be highly multidisciplinary, as successful sensor integration requires expert understanding and comfortability of concepts across many disciplines–from hardware and software.

What you’ll do: 

• Lead technical development of radar or lidar sensing systems from early concept, benchmarking, and sourcing through production launch
• Define sensor performance targets, requirements, evaluation criteria, and validation plans based on vehicle, perception, and ODD needs
• Drive sensor benchmarking and technical down-selection across candidate suppliers and technologies
• Lead supplier technical engagement, including requirements reviews, data reviews, architecture discussions, issue resolution, and design maturity assessments
• Guide architecture and tradeoff decisions related to sensing performance, environmental robustness, packaging, thermal constraints, power, diagnostics, manufacturability, and cost
• Work cross-functionally with systems, perception, firmware, validation, vehicle integration, manufacturing, and quality teams to ensure the sensor meets downstream functional and program needs
• Review test data from supplier, bench, track, and vehicle testing; identify performance gaps; determine root cause; and drive corrective actions
• Assess whether supplier evidence is technically credible by reviewing test conditions, assumptions, filtering, sample quality, boundary cases, repeatability, and alignment to sensor physics and system requirements
• Lead technical reviews and challenge unsupported claims, weak correlation, incomplete validation, and conclusions that do not match observed data or first-principles behavior
• Establish technical plans, milestones, risks, and mitigation strategies to keep sensor programs on track toward nomination and launch
• Communicate technical status, open issues, and tradeoffs clearly to engineering leadership and cross-functional partners

What you'll need to succeed:

• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 7+ years of relevant experience (or Master's degree and 5+ years of relevant experience, or PhD and 2+ years of relevant experience)
• 8+ years of experience in automotive sensing, with deep hands-on expertise in either radar or lidar and demonstrated technical leadership on complex hardware programs
• Strong first-principles understanding of the relevant sensing modality:
  • Radar: RF fundamentals, range/Doppler/angle estimation, resolution, interference, multipath, ghosting, calibration, synchronization, and environmental effects
  • Lidar: time-of-flight or FMCW fundamentals, ranging accuracy, reflectivity effects, point cloud quality, contamination, weather impacts, optical alignment, calibration, and environmental robustness
• Strong scripting and analysis capability in python, including hands-on use of NumPy, pandas, Jupyter, and similar tools to parse logs, evaluate sensor performance, trend issues, and build repeatable analysis workflows
• Ability to work directly with sensor data and debug artifacts, including supplier logs, raw captures, decoded outputs, and vehicle test datasets, and determine whether the data is complete, valid, and physically credible
• Practical experience with day-to-day engineering tools such as Wireshark/PCAP analysis, CAN tools (CANoe/CANalyzer or similar), ROS/rosbag or equivalent logging frameworks, point cloud or radar visualization tools, and common automotive data interfaces such as CAN, CAN FD, and automotive Ethernet
• Ability to independently judge whether supplier test results are correct by evaluating test setup, calibration state, ground truth method, statistical significance, repeatability, boundary conditions, applied filters, KPI definitions, and consistency with known sensor behavior
• Ability to lead and critically assess technical design reviews (TDRs) by identifying weak assumptions, incomplete validation, inconsistent requirements traceability, misleading metrics, and conclusions that are not supported by the underlying data
• Experience translating system and perception needs into sensor requirements, validation methods, and supplier deliverables
• Experience working across hardware, firmware, systems, perception, validation, manufacturing, and supplier teams to drive root cause and resolution
• Strong technical judgment and communication skills, with the ability to make and defend tradeoffs across performance, cost, timing, integration, and reliability

Nice to have: 

• Master’s degree or PhD in Electrical Engineering, Physics, Robotics, Computer Science, or a related field
• Experience leading supplier nomination, sourcing, or technical selection for radar or lidar hardware
• Experience bringing radar or lidar systems into automotive production
• Familiarity with DV/PV, DFMEA, APQP, PPAP, functional safety, automotive quality processes, and production release expectations
• Working knowledge of perception, tracking, calibration, and downstream use of radar or lidar data in automated driving systems
• Experience supporting multiple vehicle platforms or series-production programs

What we offer you:

• Competitive compensation packages
• High-quality individual and family medical, dental, and vision insurance
• Health savings account with available employer match
• Employer-matched 401(k) retirement plan with immediate vesting
• Employer-paid group term life insurance and the option to elect voluntary life insurance
• Paid parental leave
• Paid medical leave
• Unlimited vacation
• 15 paid holidays
• Daily lunches, snacks, and beverages available in all office locations
• Pre-tax spending accounts for healthcare and dependent care expenses
• Pre-tax commuter benefits
• Monthly wellness stipend
• Adoption/Surrogacy support program
• Backup child and elder care program
• Professional development reimbursement
• Employee assistance program
• Discounted programs that include legal services, identity theft protection, pet insurance, and more
• Company and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives

Learn more about Latitude’s team, mission and career opportunities at lat.ai!

The expected base salary range for this full-time position in California is $191,920 - $287,880 USD. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Latitude employees are also eligible to participate in Latitude’s annual bonus programs, equity compensation, and generous Company benefits program, subject to eligibility requirements.

Candidates for positions with Latitude AI must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is available for this position.

We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.

We are looking for a Lead RTL Design Engineer to own microarchitecture definition and RTL implementation across the dataflow execution fabric, memory subsystem, on-chip interconnect/NoC, low-power logic, and standard peripheral IP (RiscV, NVM, I2S, I2C) integration. You will work from architecture spec through synthesis-ready RTL, collaborating with architects, microarchitects, DV leads, physical design, and firmware teams to tape out an industry leading power-efficient SoC.

This is a unique opportunity to be a part of a newly formed HW engineering org and have an influence on our products and processes as we move from the initial stages of product development to market release and scaled volume production.  Join our team and help us shape the future of computing at the edge and beyond!

Key Responsibilities 

• Microarchitecture definition (core focus): Own the design and definition of processor and compute-unit microarchitecture, including dataflow pipelines, execution units, and interfaces. Set performance, power, and area targets, and guide the team toward achieving them.
• On-chip interconnects and system integration: Define and drive the design of on-chip networks and data movement across the fabric, balancing performance, scalability, and implementation constraints in collaboration with physical design.
• Memory subsystem & system architecture: Define the interface to the memory subsystem, including data movement, ordering, and synchronization behavior, ensuring a clean and scalable model for software and future system expansion.
• Reconfiguration and execution model: Lead the architecture of configuration, scheduling, and execution of workloads on the fabric, including multi-kernel support and interaction with host systems.
• Power management and low-power design: Drive power architecture across the design, including clocking, reset, power domains, and low-power strategies to meet aggressive energy and efficiency goals.
• HW/SW co-design: Collaborate closely with compiler and software teams to define the hardware execution model, ensuring efficient mapping of workloads onto the architecture.

Specifications, Documentations and Reviews: Author and own uArch specification documents for assigned blocks; drive design reviews with architecture, compiler, DV, and physical design stakeholders.

• Mentoring and process improvement: Mentor senior and junior RTL engineers; review RTL, flag microarchitecture risks, and enforce coding style and lint-clean standards across the team.
• Driving PPA Metrics: Participate in PPA analysis loops: synthesize blocks regularly, review area/timing/power reports, and make data-driven tradeoffs against performance and feature requirements.
• DV Collaboration: Collaborate with DV leads to define/review verification plans; provide directed test scenarios for graph execution corner cases, back-pressure conditions, and power state transitions.
• Silicon Bring-up: Support silicon bring-up: contribute scan/ATPG guidelines, review DFT insertion, and provide RTL-level debug assistance during lab validation.

Required Qualifications & Experience

• 8+ years of RTL design experience with tape-out ownership of dataflow based design, on chip networks, memory subsystems  or peripheral integration on a processor or accelerator SoC.
• Deep proficiency in SystemVerilog for RTL — synthesis-clean, lint-clean, timing-aware; able to design complex state machines, arbiters, token flow controllers, and datapath logic from scratch.
• Solid understanding of parallel execution models: dataflow, SIMD, or systolic array architectures; familiarity with the hardware challenges of token-based firing-rule evaluation and producer-consumer synchronization.
• Hands-on experience with on-chip memory design: SRAM wrappers, scratchpad/TCM, banking, and memory-mapped register interfaces.
• Experience with low-power RTL techniques: UPF-driven flows, clock gating, power domains, retention registers, and AON wakeup logic.
• Familiarity with at least one standard on-chip bus protocol (AXI, AHB, APB, TileLink, or NoC equivalent) at the RTL implementation level.
• Experience taking RTL through synthesis and timing closure; ability to read and act on SDC constraints, STA reports, and synthesis QoR summaries.
• Strong written communication skills; able to produce uArch specs and design review material independently.
• Experience with memory compiler toolchains

Desired Qualifications & Experience Requirements 

• Prior RTL ownership of a dataflow engine, neural processing unit (NPU), or streaming DSP architecture with explicit producer-consumer token management.
• Experience collaborating with compiler or graph-optimization teams to co-design hardware execution models and graph IR representations.
• Familiarity with NVM controller RTL (MRAM, RRAM) including ECC, program/erase sequencing, and model weight storage use cases.
• Experience with IoT-class power budgets (sub-10 mW active, sub-100 µW standby) and the RTL design choices they necessitate.
• Familiarity with functional safety standards (ISO 26262, IEC 61508) as applied to execution fabric error detection and power domain isolation.
• Exposure to AI framework graph formats (ONNX, TFLite) and understanding of how graph compilation maps to hardware execution primitives.
• Tape-out credits on an edge-AI, IoT, or wearable SoC at 12nm or below.
• Experience with formal verification of flow-control logic, deadlock freedom, or bus protocol compliance.

We offer a competitive salary for this role, generally ranging from $160,000 to $250,000, along with meaningful equity and comprehensive benefits. The final compensation package will be based on your experience and location, with some flexibility to ensure we align with the right candidate.

Latitude AI (lat.ai) develops automated driving technologies, including L3, for Ford vehicles at scale. We’re driven by the opportunity to reimagine what it’s like to drive and make travel safer, less stressful, and more enjoyable for everyone.

When you join the Latitude team, you’ll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering – all dedicated to making a real, positive impact on the driving experience for millions of people. 

As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif.

Meet the team:

The Onboard Platforms team is an embedded software team responsible for the development and maintenance of the operating system, on-vehicle network, timesync, vehicle interface, and security for the L1/L2/L3 autonomous vehicle compute clusters.  

What you’ll do: 

• Deliver safe and efficient embedded software for state-of-the-art sensing systems
• Produce high-quality, maintainable code using C++
• Design and optimize in-vehicle networks to communicate with the sensors and provide the common timebase for the autonomy software
• Design, implement, and test full-stack software running in resource-constrained environments
• Work closely with a multidisciplinary team of hardware, software and system engineers to ensure the success of our product

What you'll need to succeed:

• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 4+ years of relevant experience (or Master's degree and 2+ years of relevant experience, or PhD)
• Strong experience developing embedded applications and systems using C++
• Proficient in network communication concepts including protocols, physical layer requirements, bandwidth characteristics, and configuration
• Knowledge of TCP/IP, Ethernet, CAN, and experience working with Marvell/Broadcom (or similar automotive-grade) Ethernet switches, including low-level configuration, firmware interaction, and troubleshooting hardware-software interface issues
• Strong software design, algorithm, problem-solving, and analytical skills
• Strong test-first design mindset
• Experience with multi-processor SoCs or similar embedded processors
• Experience with time synchronization, IEEE802.1AS, and Linux PTP is preferred
• Prefer candidates with experience developing software for highly complex, safety-critical sensing systems with specific emphasis on network design for fault detection, and time synchronization for safety-critical data paths

Nice to have: 

• Strong modern C++ skills
• Understanding of networking and time-sensitve networking
• Experience developing Linux device drivers for Ethernet, GPU, PCIE or flash devices like UFS, eMMC, NVMe
• Experience with Yocto/OpenEmbedded, buildroot, or similar Linux packaging technologies
• Track record of technical leadership in automotive or related fields taking products to production

What we offer you:

• Competitive compensation packages
• High-quality individual and family medical, dental, and vision insurance
• Health savings account with available employer match
• Employer-matched 401(k) retirement plan with immediate vesting
• Employer-paid group term life insurance and the option to elect voluntary life insurance
• Paid parental leave
• Paid medical leave
• Unlimited vacation
• 15 paid holidays
• Daily lunches, snacks, and beverages available in all office locations
• Pre-tax spending accounts for healthcare and dependent care expenses
• Pre-tax commuter benefits
• Monthly wellness stipend
• Adoption/Surrogacy support program
• Backup child and elder care program
• Professional development reimbursement
• Employee assistance program
• Discounted programs that include legal services, identity theft protection, pet insurance, and more
• Company and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives

Learn more about Latitude’s team, mission and career opportunities at lat.ai!

The expected base salary range for this full-time position in California is $179,200 - $268,800 USD. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Latitude employees are also eligible to participate in Latitude’s annual bonus programs, equity compensation, and generous Company benefits program, subject to eligibility requirements.

Candidates for positions with Latitude AI must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is available for this position.

We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.

About Us

Are you ready to build the future of supply chain? At Gather AI, we’re not just creating software; we’re pioneering a new era of warehouse intelligence. We’ve developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining “on-time, in full” delivery.

If you’re looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We’re leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time.

About the Team

You'll be embedded at the intersection of hardware and software, collaborating with Autonomy and MHE Vision engineers to bring cutting-edge systems to life. You'll partner with hardware designers on sensor validation, working closely with systems engineers on integrated testing, and have a direct line to QA leadership in shaping overall test strategy

About the Role

We are looking for a Hardware / Software QA Engineer to own testing at the boundary between our physical hardware and software systems. You will validate sensors, firmware, and software components that work correctly together end-to-end — closing a critical quality gap for both our Drone and MHE Vision platforms.

This is a rare hybrid QA role that spans embedded devices, sensor systems, and software stacks. You’ll work hands-on in our Pittsburgh lab with real hardware while contributing to the quality infrastructure that keeps production systems running reliably for our customers.

What You’ll Do

• Execute hardware-software integration tests in the Pittsburgh lab, validating sensor behavior, firmware functionality, and end-to-end data flow from physical devices through the software stack
• Design and document repeatable test procedures for sensor integration and firmware validation across both the Drone and MHE Vision platforms
• Identify and classify defects at the hardware-software boundary — distinguishing hardware faults, firmware bugs, driver issues, and application software errors — and route clearly to engineering owners
• Build and maintain hardware-software integration test suites, including firmware validation, sensor calibration tests, and embedded release regression testing
• Contribute to cross-platform test infrastructure that serves both product lines and establish defect classification and routing processes
• Collaborate with systems engineers on integrated system tests and with the ML team on validating how sensor data feeds into perception pipelines

What You’ll Need

• 3–5 years of QA or test engineering experience with genuine exposure to both hardware and software testing — not purely one side
• Hands-on experience testing sensors (cameras, LiDAR, IMUs, or similar), including calibration, data quality assessment, and performance characterization
• Embedded firmware validation experience: flash/update procedures, functional verification, regression testing, and failure mode analysis
• Python proficiency for test automation, data processing, log analysis, and building test utilities
• BS in Computer Science, Electrical Engineering, Computer Engineering, Mechatronics, or a related technical field; must be willing to work on-site in Pittsburgh

Nice to Have

• Experience with embedded platforms such as NVIDIA Jetson or ARM-based devices
• Familiarity with communication protocols (UART, SPI, I2C, USB) and basic lab instruments (oscilloscopes, logic analyzers)
• CI/CD experience for embedded or hardware-in-the-loop testing
• Exposure to computer vision or ML pipelines — understanding how sensor data feeds into inference systems

About Us

We are on a mission to accomplish the impossible and build a safer future of autonomous and robotic machines. We are looking for a growth-minded and dynamic Infrastructure Engineer - Hardware-In-the-Loop (HIL) who embodies our values of excellence, ownership, collaboration, and effective communication.

Role Overview

We are seeking a Senior Engineer focused on building and scaling HIL test infrastructure and automation platforms. This role goes beyond test execution — you will design multi-bench systems, CI/CD-driven workflows, and reliable lab infrastructure to enable efficient, repeatable validation of Fort products.

Responsibilities

• Design and scale Hardware-in-the-Loop (HIL) benches for system and device-level validation
• Build infrastructure for multi-bench orchestration (scheduling, parallel execution, resource management)
• Build and manage DevOps workflows for test infrastructure, including pipeline automation, environment provisioning, and artifact management.
• Design and integrate CI/CD pipelines for hardware-based testing
• Build containerized (like Docker) environments for reproducible test execution
• Develop systems to control hardware programmatically (power, connectivity, devices)
• Improve lab infrastructure, fixtures, and test environments for scalability and reliability
• Build logging, metrics, and observability systems for debugging and traceability
• Collaborate with firmware, cloud, and hardware teams to resolve system-level issues
• Mentor engineers and drive best practices for scalable test infrastructure

Qualifications

• Bachelor’s or Master’s in Electrical Engineering, Computer Engineering, Computer Science, or related discipline preferred
• 5+ years of experience in embedded systems, robotics, or hardware-software systems
• Strong experience with HIL/SIL systems or test infrastructure
• Proficiency in Python for automation/framework development
• Experience designing automation systems at scale (multi-device, multi-environment, or distributed systems)
• Strong experience with CI/CD systems (GitLab, Jenkins, or similar), including pipeline design and automation workflows
• Experience with containerization technologies (Docker) and building reproducible development and test environments
• Familiarity with DevOps practices and scalable system design
• Experience with embedded communication protocols (Ethernet, CAN, BLE, Wi-Fi)
• Strong debugging skills across hardware and software systems
• Ability to design modular, maintainable systems and work cross-functionally

Preferred

• Experience with distributed systems or orchestration platforms
• Experience with cloud/logging tools (Azure, Grafana, etc.)
• Knowledge of safety standards (IEC 61508, ISO 26262)
• Hands-on hardware/fixture design experience
• Interest in applying AI/ML in daily engineering workflows

Position Overview

We are seeking a proficient Firmware Engineer that will develop and optimize firmware for BLDC motor control and real-time embedded systems. Key responsibilities include implementing control algorithms, debugging communication protocols, and integrating firmware with frameworks like ROS, while collaborating with hardware teams to ensure system performance. 

Responsibilities

• Develop and optimize firmware for BLDC motor control, including advanced control algorithms and system identification.
• Design, debug, and integrate low-level communication protocols such as RS-485, CAN, UART, and SPI.
• Implement and maintain real-time systems using RTOS (e.g., FreeRTOS, RT Linux, VxWorks).
• Collaborate with hardware engineers to design and validate motor driver circuits and power electronics systems.
• Integrate firmware into higher-level communication frameworks, such as DDS (Distributed Data Service), e.g., ROS.
• Test, validate, and debug firmware systems in the lab.
• Document firmware design processes and contribute to best practices.

Preferred Qualifications

• Bachelor’s or Master’s degree in Electrical Engineering, Robotics, or Mechatronics.
• Hands-on experience in firmware development for robotics, motor control, or embedded systems.
• Expertise in BLDC motor control, including FOC (Field-Oriented Control), PWM, and current/position control techniques.
• Proficiency in low-level communication protocols such as RS-485, CAN, and SPI.
• Experience with real-time embedded systems (e.g., FreeRTOS, RT Linux).
• Familiarity with DDS frameworks (e.g., ROS).
• Proficient in C/C++ for embedded systems and adept with debugging tools.
• Excellent problem-solving skills and ability to handle complex system integration challenges.

Position Overview

We are looking for Mechanical Design Engineers to create and fabricate robotic systems for teleoperation, human-robot interaction and data collection. You will be responsible for designing, developing, and testing electro-mechanical hardware systems that include haptic devices, exoskeletons, and others. You will work closely with cross-functional teams to ensure our products achieve the highest standards of performance, reliability, and efficiency.

Responsibilities

• Design, prototype, and test hardware systems for human-robot interaction
• Create detailed CAD models and drawings for jigs, fixtures, and tools using CAD software for mechanical components.
• Utilize 3D printing and rapid prototyping techniques to develop and test hardware prototypes.
• Collaborate with software engineers, mechanical engineers, and other team members to integrate hardware with software and mechanical designs.
• Conduct tests and simulations to ensure the functionality and reliability of hardware systems.
• Troubleshoot and resolve hardware issues and provide technical support during the product development lifecycle.
• Prepare documentation for hardware designs, specifications, and test procedures.

Preferred Qualifications

• BS, MS or higher degree in Mechanical engineering or a related field, or equivalent practical experience.
• Proven experience in hardware design and prototyping, including both electrical and mechanical components.
• Proficiency in CAD software for mechanical design (Solidworks, Onshape, or other).
• Experience with Arduino or similar platforms for electronic prototyping and control systems.
• Familiarity with 3D printing and rapid prototyping techniques.
• Strong understanding of electronic components, circuit design, and signal processing.
• Experience with testing and debugging hardware systems.

Bonus qualifications:

• Experience with robotics, teleoperation, or digital twin systems
• Experience with human-centered considerations for robot design 
• Experience with actuator and sensor design for high performance haptic devices
• Experience working with high-speed control systems, including low-level firmware

Position Overview

We are seeking an experienced Electrical Engineer to join Skild AI and help drive innovation in robotics technology. In this role, you’ll design DC power systems, integrate sensors, and collaborate on advanced motor driver and power electronics. You’ll play a key part in hardware design, testing, and system validation to ensure reliability and performance in cutting-edge robotics solutions.

Responsibilities

• Design and implement DC power systems, including battery management systems, monitoring, and protection.
• Collaborate with firmware engineers to design and validate motor driver circuits and power electronics systems.
• Integrate and fuse sensor data, including IMUs, encoders, hall sensors, and temperature sensors (PCB-level design).
• Develop and test power/sensor electronics systems in collaboration with hardware and firmware teams.
• Ensure system reliability through testing, validation, and debugging of hardware systems in the lab.
• Document design processes and contribute to hardware best practices.

Preferred Qualifications

• Bachelor’s or Master’s degree in Electrical Engineering, Robotics, or Mechatronics.
• Hands-on experience with DC power systems, battery management, and power electronics.
• Strong understanding of sensor integration, including IMUs, encoders, and hall sensors.
• Familiarity with low-level communication protocols such as RS-485, CAN, and SPI.
• Experience with hardware design, PCB layout, and debugging.
• Proficiency in power electronics design, including motor drivers and circuit design.
• Excellent problem-solving skills and ability to handle system-level challenges.
•  

Company Name: Hellbender Inc.
Job Title: Technical Project Manager
Department: Operations
Report to: VP of Operations

Who we are:
Hellbender Inc. is a Pennsylvania Benefit Corporation who partners with innovators to mature
their Artificial Intelligence enabled computing sensors and produce their solutions onshore at
prototype to high volumes. Hellbender is intentionally forming an inclusive work environment
and is committed to uplifting the historically marginalized identities including veterans, women,
trans and non-white races in our community and industry.

Job Summary:
As a Technical Project Manager at Hellbender, you will be responsible for planning and
executing multiple concurrent projects and for providing the technical guidance needed to
transition projects from conception, through design, and into production. You will be the main
customer facing contact and directly responsible for the budget, performance, and schedule of
assigned projects. This role requires technical expertise, attention to detail, as well as the ability
to collaborate effectively with cross-functional teams. The ideal candidate will have a solid
background in electromechanical systems and experience leading technical teams through
complex engineering projects. United States veteran and diverse candidates are encouraged to
apply at any experience level.

Essential Duties and Responsibilities:

• Establish trust and build effective relationships with customers, executives, engineering
  and production teams, and a variety of cross-functional stakeholders
• Manage and ensure successful, on-time, on-budget delivery of engineering solutions for
  multiple concurrent projects
• Organize project teams by assigning responsibilities, developing schedules, and
  determining resource requirements
• Identify risks to the contracted scope and develop mitigation plans
• Interface with all departments including design, procurement, manufacturing, assembly,
  and testing to ensure project alignment
• Support business development and new work proposals, and generate additional scopes
  of work for current projects as required

Qualifications, Skills, and Attributes:

• A Bachelor's Degree in Computer Science, Materials Science, Robotics, or equivalent
  education
• Experience leading technology based products through the various developmental
  phases including requirements definition, design, testing, field trials, and production
• Experience balancing resources across multiple projects, as well as tracking scope,
  schedule, and budget
• Strong experience with Microsoft Office Suite, software configuration tools, and project
  management systems
• Experience leading cross-functional teams of varying skills and experience
• Excellent written and oral communication skills
• Experience working with software, firmware, mechanical, and/ or electrical engineering
  teams as a developer preferred
• 2 - 5 + years Product Management experience
• Previous experience in a start-up environment, working on complex software and
  hardware projects with multiple stakeholders is highly preferred
• Prior experience transitioning projects into production is highly preferred

Compensation:

This will be a salaried, exempt position. Compensation to be discussed relative to experience
and abilities. This position will be open to the company yearly bonus and retirement savings
programs.

Benefits:

• 401(k)
• 5% Safe Harbor Contribution to 401k by Hellbender
• Dental insurance, 100% by Hellbender for employees and their families
• Flexible spending account
• Health insurance, 100% by Hellbender for employees and their families
• Vision insurance, 100% by Hellbender for employees and their families
• 7.5 weeks total Paid time off
• Hellbender Inc. Stock through our Equity Incentive Plan
• Profit Sharing (through 401k)
• Hybrid work environment & flexible work schedule

Work Location: UPARC Pittsburgh

Opportunity for advancement:
Hellbender is a growing business and follows a policy that prioritizes internal promotions. As
new positions are created new opportunities for advancement will be created as well.

Efficient is looking for a seasoned Design Verification & Emulation Manager to staff, lead and scale our verification and emulation organization which is part of our newly formed HW engineering organization. This is a high-impact leadership role responsible for ensuring silicon correctness and system-level readiness across multiple industry defining product lines. You will own the verification strategy from block-level to full-chip, drive emulation-based validation for early software enablement, and build a world-class team of verification and emulation engineers.

This role combines deep technical expertise with strong people leadership and program execution skills, and is ideal for someone who thrives at the intersection of architecture, verification methodology, hardware-software integration, and team building. This is a unique opportunity to have an influence on our products and processes as we move from the initial stages of product development to market release and scaled volume production.  Join our team and help us shape the future of computing at the edge and beyond! 

Key Responsibilities 

• Define end-to-end verification strategy from block-level through full-chip simulation to emulation and prototyping
• Own UVM-based methodology, including constrained-random, coverage-driven closure, assertions, and formal verification adoption
• Drive emulation platform strategy — platform selection, capacity planning, compilation flows, and multi-project scheduling
• Enable system-level validation on emulation — processor boot, OS bring-up, firmware execution, and IO exercising
• Deliver pre-silicon platforms for early software development in partnership with firmware and software teams
• Establish hybrid simulation-emulation methodologies using transactor-based interfaces to maximize both environments
• Own functional coverage models and sign-off criteria, driving closure across simulation and emulation combined
• Lead debug and root cause analysis across simulation and emulation, driving cross-functional bug resolution
• Manage verification dashboards, bug tracking, and regression health to provide clear visibility to program leadership
• Build, mentor, and scale a high-performing team of verification and emulation engineers
• Drive verification schedules and risk mitigation aligned with chip program milestones and tapeout readiness
• Represent verification and emulation in tapeout readiness reviews and program-level decision forums
• Collaborate cross-functionally with Compiler Team, RTL design, architecture, DFT, physical design, and post-silicon teams
• Manage emulation lab infrastructure, including hardware resources, licensing, and vendor relationships
• Evaluate and adopt new EDA tools and methodologies, including AI/ML-assisted verification techniques.
• Define right DV  mix for in-house  vs outsourcing to 3rd party vendors. Coordinate 3rd party vendor resources towards achieving project goals.

Required Qualifications & Experience 

• Education: Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or a related field. PhD is a plus.
• Experience: 12+ years of progressive experience in ASIC/SoC design verification, with at least 3–5 years in a management or senior technical leadership role overseeing both verification and emulation functions.
• Verification Methodology: Deep expertise in UVM, constrained-random verification, functional coverage, assertions (SVA), and simulation-based debug. Strong understanding of formal verification techniques.
• Emulation Platforms: Hands-on experience with at least one major emulation platform (Palladium, ZeBu, or Veloce) and familiarity with FPGA prototyping flows.
• Languages & Tools: Strong proficiency in SystemVerilog, Verilog, and C/C++ for testbench and reference model development. Experience with Python, Tcl, and scripting for flow automation.
• SoC Architecture: Solid understanding of modern SoC architectures — processors (ARM, RISC-V), cache coherency, interconnects (AMBA AXI/ACE/CHI), memory subsystems, and common peripherals.
• Leadership: Demonstrated ability to build, mentor, and manage verification teams of 10+ engineers. Experience hiring, developing talent, and scaling teams.
• Execution: Strong track record of driving verification closure and tapeout sign-off on complex designs (multi-million gate, multi-clock domain, multi-power domain).

Preferred Qualification

• Experience with portable stimulus standard (PSS / Accellera) for verification reuse across simulation and emulation.
• Background in power-aware verification (UPF/CPF-based) and low-power design verification challenges.
• Experience with AI/ML-assisted verification techniques (e.g., intelligent coverage convergence, ML-driven regression optimization).

We offer a competitive salary for this role, generally ranging from $210,000 to $250,000, along with meaningful equity and comprehensive benefits. The final compensation package will be based on your experience and location, with some flexibility to ensure we align with the right candidate.

Noctrix Health is redefining the treatment of chronic neurological disorders with clinically validated therapeutic wearables. Our team of medical device specialists, neuroscientists, and consumer electronics engineers is dedicated to delivering prescription-grade therapy with an outstanding user experience. We have pioneered the world’s first drug-free wearable therapy, clinically proven to alleviate symptoms in adults with drug-resistant Restless Legs Syndrome (RLS). Be part of our mission to transform healthcare, improve lives, and drive meaningful change with Noctrix Health. 

We are seeking an experienced and innovative Principal Electrical Engineer to lead the architecture, design, and development of electrical systems supporting our next-generation therapeutic wearable devices. In this role, you will drive hardware innovation while ensuring designs meet the highest standards for safety, reliability, and performance within regulated medical device environments. 

The Principal Electrical Engineer will lead full lifecycle hardware development—from concept through manufacturing transfer—while collaborating with cross-functional teams to deliver high-quality, patient-centered products. This role reports to the SVP, Product and plays a critical role in shaping the technical direction of Noctrix Health’s hardware platforms. 

***This is a full-time, hybrid position located in our Pittsburgh office.*** 

Responsibilities: 

• Serve as the technical authority for electrical architecture and hardware design across Noctrix’s therapeutic wearable platforms. 
• Lead hands-on design and development of complex analog, digital, and mixed-signal circuits for medical device systems, including schematic capture, PCB layout oversight, and component selection. 
• Architect robust electrical systems that meet the performance, reliability, and safety requirements of prescription medical devices operating in FDA-regulated environments. 
• Drive full lifecycle hardware development—from early concept and feasibility through detailed design, verification, validation, and transfer to manufacturing. 
• Perform and guide detailed electrical engineering analysis including signal integrity, power management design, noise mitigation, and system-level performance optimization. 
• Lead rigorous troubleshooting and root cause investigations for electrical and system-level issues during development, verification testing, and manufacturing. 
• Develop, review, and maintain high-quality design documentation in compliance with medical device quality systems, including design inputs/outputs, risk analysis, verification protocols, and traceability artifacts. 
• Ensure electrical designs support regulatory compliance requirements including IEC 60601 safety, EMC, and applicable medical device standards. 
• Work closely with firmware and systems teams to develop integrated hardware solutions that deliver reliable therapeutic performance and exceptional patient experience. 
• Mentor engineers and contribute to raising the technical depth and engineering rigor of the hardware team. 
• Support manufacturing partners and internal teams in design for manufacturability (DFM), testability (DFT), and scale-up to production. 
• Contribute to the identification and development of new electrical technologies, architectures, and hardware platforms aligned with Noctrix’s long-term product roadmap 

Requirements: 

• B.S. in Electrical Engineering or equivalent technical discipline (M.S. preferred) 
• Minimum 15 years of experience designing and developing complex electrical systems, preferably in medical devices or other regulated industries (e.g., aerospace, automotive, industrial safety systems) 
• Deep expertise in analog, digital, and mixed-signal circuit design, including schematic capture, PCB layout guidance, and component selection 
• Strong proficiency with Altium Designer or similar professional PCB design tools 
• Demonstrated experience architecting and delivering battery-powered embedded systems, including power management, DC-DC conversion, Li-ion battery management, and charging circuitry 
• Experience designing systems using microcontrollers and embedded firmware interfaces, with working knowledge of C-based firmware development 
• Strong understanding of common embedded communication protocols including USB, I²C, SPI, UART, and BLE 
• Experience performing electrical analysis and simulation, including signal integrity, power integrity, and noise mitigation in compact electronic systems 
• Demonstrated experience delivering hardware–software integrated products from early concept through verification, validation, and commercialization 
• Experience working within regulated development environments, including familiarity with FDA design controls, design history files (DHF), and traceable engineering documentation 
• Exceptional hands-on engineering capability, with a proven ability to troubleshoot complex electrical and system-level issues 
• Ability to produce clear, rigorous engineering documentation including design analysis, test reports, verification protocols, and design rationale 
• Strong communication and collaboration skills across multidisciplinary teams including firmware, mechanical engineering, product management, clinical, and manufacturing teams 
• Ability to communicate complex technical concepts clearly to both engineering peers and executive leadership 

Preferred Qualifications: 

• M.S. in Electrical Engineering or a related technical field 
• Experience developing wearable medical devices or compact battery-powered consumer electronics 
• Experience designing low-power embedded systems for continuous or wearable operation 
• Experience working within medical device quality systems and regulated product development processes (e.g., FDA design controls, ISO 13485) 
• Demonstrated success leading complex hardware programs from early development through commercialization 
• Experience collaborating with contract manufacturers and external development partners during product development and manufacturing scale-up
• Experience designing for and supporting EMC/EMI compliance and testing, including familiarity with IEC 60601, EN 61326, or comparable standards 

Compensation: 

• Base pay: $140,000–$170,000 per year + bonus

Company Name: Hellbender Inc.
Job Title: Technical Product Manager
Department: Operations
Report to: Chief Product Officer

Who we are:
Hellbender Inc. is an 80-person Pennsylvania Benefit Corporation that designs and manufactures
edge AI devices and perception systems to power our customers’ core business models. We do
everything from low volume prototypes to high volume production (into the tens of thousands of
units), and we do it all in-house: from PCB design and assembly to full-stack software
development, mechanical design to end of line integration and testing. Now, we are beginning to
build out our Hellbender branded product lines, and are looking for technical product managers
to help.

Hellbender believes in doing well by doing good. We are intentionally forming a healthy and
inclusive work environment and are committed to uplifting historically marginalized groups as we
onshore work that has been offshored for decades at great cost to our communities. Veterans
and members of other underrepresented groups in tech are strongly encouraged to apply.

Job Summary:
As a Technical Product Manager at Hellbender, you will help lead products from customer
discovery through design, prototyping, and into production, all while keeping customer needs and
competitive positioning front and center. You’ll coordinate among engineering, production,
marketing and sales teams to drive the successful execution of product development efforts,
keeping the team on time and on budget.

The ideal candidate has strong technical and interpersonal skills, is comfortable leading teams
and taking ownership of their work, and can function well in a scrappy and fast paced startup
environment. This role requires a high degree of ownership but will work closely with our Chief
Product Officer, engineering, procurement, production, and marketing teams.

Essential Duties and Responsibilities:

• Establish trust and build strong relationships with stakeholders ranging from prospective
  customers to engineering teams and executives
• Define and prioritize feature development according to customer discovery, competitive
  landscape analysis, and internal resource availability
• Create and drive the successful execution of product development timelines, with an eye
  on potential scheduling, technical, and budget risks
• Oversee transition of products from development to production, and participate in
  process definition and refinement to ensure quality standards are satisfied
• Support go-to-market activities including e-commerce sales, marketing and business
  development efforts

Qualifications, Skills, and Attributes:

• A Bachelor's Degree in Computer Science, Mechanical Engineering, Robotics, or
  equivalent education and experience
• 2-5+ years Product Management experience
• Excellent oral and written communication skills
• High ownership mentality and a bias toward action
• Strong organizational skills and prior experience with project management tools like Jira
• Experience leading cross-functional technical teams throughout the product development
  lifecycle (bonus points if this occurred in a startup environment)
• Strong foundation with software, firmware, mechanical and/or electrical hardware
  development, and the ability to credibly engage with engineering teams focused in each
  domain

Compensation:

$100K - $150K salary range, relative to experience and abilities.

This position will be open to the company yearly bonus and retirement savings
programs.

Benefits:

• 401(k)
• 5% Safe Harbor Contribution to 401k by Hellbender
• Dental insurance, 100% by Hellbender for employees and their families
• Flexible spending account
• Health insurance, 100% by Hellbender for employees and their families
• Vision insurance, 100% by Hellbender for employees and their families
• 7.5 weeks total Paid time off
• Hellbender Inc. Stock through our Equity Incentive Plan
• Profit Sharing (through 401k)
• Hybrid work environment & flexible work schedule

Work Location: UPARC Pittsburgh

Opportunity for advancement:
Hellbender is a growing business and follows a policy that prioritizes internal promotions. As
new positions are created new opportunities for advancement will be created as well.