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Vehicle Systems Engineering Intern (Fall/September 2026, 4- 8 Months)
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Who we are:
Who you are:
We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking an Vehicle Systems Engineering Intern who will focus on growing Geotab's world class vehicle support by researching new vehicles, reverse engineering their systems and automating the process with software tools. If you love technology, and are keen to join an industry leader - we would love to hear from you!
What you'll do:
As a Vehicle Systems Engineering Intern your key area of responsibility will be to gain access to vehicles both in person and remotely across the world, to reverse engineer vehicular systems. This includes electrical, hardware and communications systems, protocols and legislation. In the past, students have developed software tools in C# and python, built big data dashboards using Google Big Query, reverse engineered vehicles from scratch using our in house CAN analysis software, helped diagnose vehicle issues… the list goes on! You will need to work closely with all development teams across Geotab and implement new initiatives across Big Data, Firmware, Software/ Mobile development and Hardware teams.
To be successful in this role you will be a self-starter with strong written and verbal communication skills and have the ability to quickly understand complex, technical concepts. In addition, the successful candidate will have strong analytical and project management skills with an ability to identify needs, develop effective solutions, and manage projects through completion. The successful candidate will also be able to manage multiple timelines and contrasting priorities to ensure timely results.
The opportunity:
- 4- 8 month (8 preferred) work-term beginning September 2026.
- Full-time, paid internship: Monday - Friday, 37.5hrs/week.
- Your first week at Geotab begins with 'GEO Launch' - a one-week Employee Orientation. Click here to learn more!
- Learn more about the Geotab Campus Program here.
- This posting is for an existing vacancy.
How you'll make an impact:
- Reverse engineer vehicular systems including electrical, hardware and communications systems and protocols.
- Document and design methods to collect data from vehicles in a way that is digestible by Geotab's hardware and software teams.
- Support the global reverse engineering vision and process by contributing to the use, design and implementation of the software tooling.
- Use Cloud-based data warehouses (e.g. BigQuery and Google Cloud compute) for automated analysis of vehicle data and identify vehicle support gaps from our products.
- Assist in the product development cycle through proof of concepts and the execution of beta testing.
What you'll bring to the role:
- Currently enrolled in a Bachelor’s degree in Computer Science, Mechatronics, Electrical, Automotive, Systems Engineering or a related field.
- CAN and CAN bus related experience is an asset.
- General code gurus with a knack for picking up new languages.
- Useful Languages: C#, Python, SQL, MATLAB.
- Other useful software experience: CANalyzer, Simulink.
- Multidisciplinary background.
- Good understanding of vehicle architectures, including hybrid/ electric vehicles.
- Hands-on vehicle experience is an asset (Can you diagnose a problem with your car?)
- Self- starter and results- oriented.
- Strong time management and fantastic communication skills.
- Interest in new mobility technologies, telematics and vehicles.
- Experience or interest in hybrid and electric vehicles and/or green technologies is an asset.
- Have a valid driver’s license with at least 1 year's driving experience.
How we work:
Other employment statements:
Geotab will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired. We will ensure the accessibility needs of employees with disabilities are taken into account as part of performance management, career development, training and redeployment processes. If you require accommodation at any stage of the application process or want more information about our diversity and inclusion as well as accommodation policies and practices, please contact us at careers@geotab.com. Geotab provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Geotab complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Geotab expressly prohibits any form of workplace harassment or discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Geotab's employees to perform their job duties may result in discipline up to and including discharge. If you would like more information about our EEO program or wish to file a complaint, please contact our EEO officer, Klaus Boeckers at HRCompliance@geotab.com. For more details, view a copy of the EEOC's Know Your Rights poster. By submitting a job application to Geotab Inc. or its affiliates and subsidiaries (collectively, “Geotab”), you acknowledge Geotab’s collection, use and disclosure of your personal data in accordance with our Privacy Policy. Click here to read our Privacy Notice.This role offers an hourly pay range which is anticipated to be the range listed below. The actual pay for this position depends on a variety of factors such as but not limited to student's academic program, relevant experience, and location. Geotab is committed to fair and equitable compensation and will share final details as part of the offer process. All offers of employment are contingent upon proof of eligibility to work for the duration of the internship and the individual's ability to pass a background check.
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Senior Hardware Engineer, Lidar
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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.
Ready to apply?
Apply to Latitude AI
Senior Hardware Engineer, Radar
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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.
Ready to apply?
Apply to Latitude AI
Senior Product Manager, Theft Solutions
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Who we are:
Who you are:
We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Senior Product Manager, Theft Solutions who will drive the strategic direction and execution of Geotab's expansion into theft awareness, detection, and recovery solutions. The projects will vary in scope, complexity, and affected business area. If you love technology, and are keen to join an industry leader — we would love to hear from you!
What you'll do:
As a Senior Product Manager, Theft Solutions, your key area of responsibility will be identifying and scaling end-to-end products that leverage Geotab's telematics platform, real-time data insights, and predictive analytics to prevent vehicle and asset theft, enable rapid recovery, and reduce insurance costs. You will need to work closely with hardware engineering, software development, data science, commercial teams, and external partners.
To be successful in this role you will be an entrepreneurial self-starter with a tolerance for ambiguity and the ability to iterate rapidly based on customer feedback. In addition, the successful candidate will have strong analytical and project management skills with an ability to translate complex telematics insights into compelling customer value and manage multiple timelines to ensure timely results.
How you'll make an impact:
- Market Discovery & Customer Insights: Conduct comprehensive customer discovery to understand theft vulnerabilities, recovery workflows, and decision criteria across fleet segments (commercial, rental, asset tracking, logistics). Uncover latent needs and willingness to pay for prevention and recovery solutions. Research competing theft prevention and recovery platforms.
- Product Strategy & Positioning: Define the theft solutions product strategy, including feature set, pricing model and market segmentation. Position Geotab as the preferred telematics platform for theft prevention and recovery.
- Feature & Requirement Definition: Translate customer needs into detailed product requirements. Partner with data science to define theft detection algorithms (behavioral anomaly detection, location pattern analysis, risk scoring). Establish monitoring and observability to measure solution efficacy and refine models post-launch.
- Roadmap Management: Own the theft solutions product roadmap, aligning hardware, firmware, cloud, mobile, and business intelligence teams on phased delivery. Identify partnership opportunities to integrate Geotab insights into existing workflows.
- Execution & Delivery: Drive end-to-end product delivery from requirements to launch, managing dependencies, priorities, and release readiness. Track market performance post-launch, including adoption, retention, and revenue contribution, using data to accelerate iteration and close gaps between roadmap intent and customer outcomes.
What you'll bring to the role:
- 7–10 years of Product Management experience, ideally spanning IoT and SaaS environments.
- Demonstrated experience bringing a new product or feature from discovery to market launch with measurable customer adoption.
- Expertise in Telematics & Connected Devices, specifically how GPS, CAN data, and diagnostics are leveraged for predictive analytics and real-time alerting.
- Theft & Loss Prevention knowledge, including vehicle theft mechanisms, recovery workflows, and anti-theft technologies like immobilizers and trackers.
- Strong analytical ability to synthesize data signals (alerts, location history, behavioral patterns) into prioritized insights and user-centric tools.
- Excellent communication and negotiation skills, with the ability to influence cross-functional teams and explain technical capabilities to non-technical stakeholders.
- Bachelor’s degree in a related field or equivalent experience; background in fleet management or insurance technology is preferred.
Why job seekers choose Geotab:
Flex working arrangements
Home office reimbursement program
Baby bonus & parental leave top up program
Online learning and networking opportunities
Electric vehicle purchase incentive program
Competitive medical and dental benefits
Retirement savings program
*The above are offered to full-time permanent employees only
How we work:
The annual base salary for this position is the expected annual salary for this role, and may be subject to change. Geotab offers various perks and benefits and other compensation components that an individual may be eligible for. The actual base salary for this position depends on a variety of factors such as but not limited to skills, qualifications, education and overall experience, including the location the applicant lives while performing the job. This also includes equity with other team members and alignment with local market data. All offers of employment are contingent upon proof of eligibility to work and the individual's ability to pass a background check.
Ready to apply?
Apply to Geotab
Senior Embedded Software Engineer, Networking
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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.
Ready to apply?
Apply to Latitude AI
Building the Quality Infrastructure for Integrated Hardware and Software at Scale
Rockbot is an omnichannel media platform powering in-venue experiences across music, TV, digital signage, and advertising - spanning nearly every industry from independent restaurants to large national brands. Our integrated products connect physical hardware (sensors, streaming media devices, A/V systems) to cloud-based analytics and services, which means quality cannot be an afterthought.
As we scale our platform and customer base, the bar for product reliability and performance must rise with it. We are investing in a more rigorous, data-driven approach to quality - one that treats QA as an engineering discipline, not a final checkpoint.
We are hiring a Director, Quality Assurance to lead our global quality strategy and build the systems, processes, and culture required to validate complex integrated products at scale.
This is a pivotal builder role. The ideal candidate has moved beyond simple pass/fail testing and brings both firmware/hardware validation expertise and modern software automation leadership — someone who views QA as a strategic function and a competitive advantage.
What You'll Do
Define the QA Vision
You believe quality must be designed in — not bolted on.
- Define and execute a comprehensive QA vision that encompasses hardware reliability, embedded systems, and cloud applications
- Set the standard for what "high quality" means across Rockbot's integrated product suite — from edge devices to cloud analytics
- Drive a "Shift Left" philosophy, integrating quality practices into the earliest stages of design and development
Automate at Scale
You build frameworks that outlast individual engineers.
- Transition legacy manual processes into a robust, scalable automation framework
- Own the selection and evolution of automation tooling — including frameworks such as Playwright, PyTest, Selenium, and Appium
- Ensure test coverage spans both hardware compatibility and software logic, operating reliably in CI/CD pipelines
- Leverage cutting-edge AI methodologies to accelerate test automation efforts
Integrate Quality into Engineering Rhythms
You operate inside engineering, not downstream of it.
- Direct the integration of automated hardware and software tests into CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions)
- Ensure every commit is verified for both software logic and hardware compatibility — including automated deployment to edge devices
- Partner with Hardware Engineering, DevOps, and Product Management to align quality goals with manufacturing timelines and software sprints
Drive Metrics and Accountability
You measure what matters and make quality visible.
- Establish KPIs across bug leakage, MTBF (Mean Time Between Failures), and test coverage
- Provide transparent, actionable reporting to executive leadership — translating technical risk into business impact
- Build disciplined reporting cadences and raise the bar on operational rigor across the QA function
Who You Are
- Experience: 10+ years in QA/Validation roles, with at least 5 years in a senior leadership position (Director or Head of QA)
- Hardware Proficiency: Proven track record testing physical products, including familiarity with streaming media and A/V systems
- Software Expertise: Deep understanding of modern automation frameworks (Playwright, PyTest, Selenium, Appium) and languages (Python, C++, or Java)
About Rockbot
Rockbot is an omnichannel media platform committed to elevating customer and employee experiences while fostering stronger connections in real-world spaces. Rockbot addresses the challenges businesses face in media management with integrated solutions spanning music, TV, digital signage, and advertising. Its mission is to enrich on-premise experiences with media technology, where every interaction is elevated and memorable.
From independent local businesses to large national brands — across nearly every industry, including restaurants, bars, retailers, and more — Rockbot provides all the tools and licensed content businesses need. Backed by leading investors including Google and Universal Music Group, Rockbot is the future of out-of-home media. For more information visit www.rockbot.com.
Compensation
Rockbot takes a market-based approach to pay, and pay may vary depending on your location in the U.S. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.
The base compensation band for this role is 190-220K, as well as equity, and benefits for all team members.
Our Values
- Drive: We pursue our mission with relentless tenacity, passion, and optimism and inspire those around us to do the same. We love the journey and are on offense all the time. Yesterday was good enough for yesterday, but today we have to do even better.
- Accountability: We take ownership of our promises, responsibilities, behaviors, and products, and we expect the same of others. Standing behind our mistakes, communicating honestly, and making things right creates trust and strong relationships.
- Curiosity: We are hungry to learn and continually deepen our knowledge, skills, and understandings. We have a growth mindset and are intellectually curious. We challenge our beliefs and seek feedback and insights from others. The "Why" and "How" always matters.
- Empathy: We embrace that no two people or businesses are the same. We strive to understand others as deeply as possible and feel their pains and passions.
- Ingenuity: We work hard but we think smart. We bring creativity, technology, and practicality together to solve tough challenges.
- Integrity: We say what we mean, and do what we say, simply, clearly, honestly.
Rockbot is an Equal Opportunity Employer, but that's just the start. We believe different perspectives help us grow and achieve more. That's why we're dedicated to hiring and developing the most talented and diverse team — which includes individuals with different backgrounds, abilities, identities and experiences.
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