Careers at Latitude Group Holdings

Latitude AI ( lat.ai ) is building the future of Ford’s autonomy roadmap to make travel safer, less stressful, and more enjoyable for everyone. Bringing this vision to scale, our fully in-house developed hands-free ADAS platform will debut on the all-new Ford Fathom in 2027. 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 redefining the relationship between people and their vehicles for millions of customers. 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 Deploy Platform team at Latitude AI is responsible for getting the right software onto the right vehicles at the right time. We're looking for a Senior Software Engineer to help modernize our deployment infrastructure: replacing legacy bootstrapping systems, building services that integrate with our testing and artifact pipelines, and enabling teams across the company to deploy software reliably to autonomous vehicles. This role sits at the intersection of infrastructure engineering and embedded systems. You'll build tools and services in Python, Rust, or Go that interact with ECUs, integrate with test frameworks, and connect to artifact management systems. You should be comfortable with Linux systems, enjoy automating away manual processes, and be curious about how software gets from a developer's machine onto a vehicle. What you’ll do: Modernize deployment infrastructure - Replace legacy Ansible-based bootstrapping workflows with maintainable, testable tooling in Python and systems languages (Rust, C++) Build services for next-gen deployment tooling - Develop backend services that support our deployment systems, integrating with systems such as Artifactory and Jenkins Integrate with test infrastructure - Connect deployment systems with our hardware-in-the-loop integration test framework to ensure software updates are validated before reaching vehicles Enable other teams - Build tooling and automation that helps engineers across Latitude deploy software reliably, reducing friction and manual steps Collaborate across boundaries - Work with Security, Safety, and Embedded teams to ensure deployments are secure, robust, and meet automotive requirements Improve observability - Add monitoring, logging, and debugging capabilities to deployment pipelines so issues are caught early and diagnosed quickly 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 proficiency in Python for automation, tooling, and service development Experience with at least one systems language (Rust, Go, C++, or similar) Familiarity with Linux systems administration and scripting (systemd, networking, package management) Experience with infrastructure-as-code, configuration management, or deployment automation (Ansible, Terraform, Salt, or similar) Comfortable working with CI/CD pipelines and release tooling Strong problem-solving skills and ability to debug across system boundaries Nice to have: Experience in a DevOps, SRE, or infrastructure role in autonomous vehicles, robotics, or other embedded/IoT domains Familiarity with embedded Linux environments or deploying software to ECUs/edge devices Experience with Bazel or similar build systems Exposure to over-the-air (OTA) update systems or fleet management Experience with gRPC/Protocol Buffers or similar services/protocols Background working in safety-critical or regulated industries (automotive, aerospace, medical devices) 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. #LI-CG1 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 ) is building the future of Ford’s autonomy roadmap to make travel safer, less stressful, and more enjoyable for everyone. Bringing this vision to scale, our fully in-house developed hands-free ADAS platform will debut on the all-new Ford Fathom in 2027. 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 redefining the relationship between people and their vehicles for millions of customers. 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. #LI-CG1 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 ) is building the future of Ford’s autonomy roadmap to make travel safer, less stressful, and more enjoyable for everyone. Bringing this vision to scale, our fully in-house developed hands-free ADAS platform will debut on the all-new Ford Fathom in 2027. 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 redefining the relationship between people and their vehicles for millions of customers. 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: In the Intelligent Systems team, we convert photons into understanding, primarily via computer vision and machine learning. Our organization is responsible for all downstream tasks of the vehicle sensor suite onboard, as well as the full offboard/cloud infrastructure for machine learning at Latitude. What you’ll do: Scaling our machine learning models with data is vital to achieve optimal performance and to enable a safer and more sustainable future of transportation. In the Scalable ML team, we are looking at methods to improve the efficiency of model training, enabling ML developers to work efficiently with large volumes of data. As a SWE for the Scalable ML team, you will: Design, and implement state-of-the-art cloud services for data ingest, workflow orchestration, and distributed training at scale Develop solutions to generate, manage, and process large amounts of multi-sensor training data for machine learning Drive advanced MLOps practices, including model artifact management, experiment tracking, and automated model deployment and testing strategies Collaborate closely with cross-functional teams, perception experts, and roboticists to integrate ML pipelines and ensure the delivery of high-quality, production-ready software Mentor junior engineers and provide technical guidance to elevate the team's software development standards 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 track record of successfully delivering complex software projects from conception to production Proven expertise in developing and optimizing machine learning data pipelines, data generation, and distributed model training Experience designing, building, and operating large-scale distributed systems and cloud infrastructure Strong proficiency in Python and/or C++ for developing high-performance, production-quality software Nice to have: Master's or PhD in Computer Science, Electrical Engineering, Robotics, or a closely related field Hands-on experience with distributed machine learning frameworks and tools such as Ray, PyTorch, Dagster, LakeFS, or PyArrow Experience with multi-sensor data fusion and processing techniques relevant to autonomous driving applications Familiarity with safety-critical software development principles in automotive or robotics domains Deep understanding of machine learning concepts, computer vision use cases, and the challenges of L2/L3 autonomy 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. #LI-CQ1 #LI-CQ1 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 ) is building the future of Ford’s autonomy roadmap to make travel safer, less stressful, and more enjoyable for everyone. Bringing this vision to scale, our fully in-house developed hands-free ADAS platform will debut on the all-new Ford Fathom in 2027. 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 redefining the relationship between people and their vehicles for millions of customers. 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 Enterprise Cyber Security team is focused on ensuring the resilience of our corporate environment with focus on protection of our corporate systems, IP, and employee data. We are a close-knit team with strong cross-functional roles in the company. As a Cyber Security Engineer, you will be the hands-on technical lead securing our High Performance Computing (HPC)/Virtualization environments. Your job is to have a deep understanding of this infrastructure, network architecture, and the operations depending on it, including our software/hardware/network engineering, fleet operations requirements, and administrative functions. You will use your knowledge and experience to design, implement, automate, and continuously improve our security posture. What you’ll do: Plan for, execute, and follow through on projects and engagements independently Apply best practices in software, network, and infrastructure engineering Deliver projects on time, on budget, with excellent quality and security configurations Review the existing and new deployments and architecture designs looking for design flaws, security improvements, and advocate for stronger security controls that meet functional and operational needs Work hand-in-hand with the Cloud Platform, IT, and Product teams to research, design and develop security solutions and deployments and strategies tailored to Latitude’s business needs Engage actively in Data Center and Network Security initiatives to assess existing security and implementations of supplemental technical solutions to improve security Document findings, conduct comparisons, perform threat and risk assessments, and Proof of Concepts aiding the team in making informed decisions about the impact of various design options Develop, Review, and Design the automation and orchestration for security aspects of cloud and virtualized deployments Provide inputs into dashboards and report metrics on the status of the Cyber Security posture Hands on deployment of solutions, working independently and as part of a team Provide mentoring and skill set knowledge transfer to team members and engineering staff Moderate and contribute to Supercomputing System Administration that contributes to: Proactive monitoring, analysis, and correcting system security issues Development of scripts to automate, perform security checks, and develop tools to enhance support of the Cloud/Virtualized systems and development environments Developing playbooks/runbooks, operational and troubleshooting documentation Evaluate and contribute to designs for Network and Infrastructure Solutions with Security and Functionality as pillars of implementation Consult and advocate security best practices for DMZ architectures, NAC/NAP, lateral isolation, and multi-site data movement in Network management tooling (like Palo Alto, Fortinet, F5) What you'll need to succeed: At a minimum, a Bachelor's degree in Computer Engineering, Computer Science, Cyber Security or a related field and 4+ years of relevant experience (or Master's degree and 2+ years of relevant experience) Strongly prefer 8+ years related experience or 6 years with a Master’s degree; as a Data Center/Virtualization and/or Network Security Architect/Engineer 2+ years of related experience in vulnerability management and adjusting the risk rating/severity dependent on internal factors for cloud and other infra High proficiency and Hands-on experience in cloud/virtualization technologies (AWS/HPC/MAAS) Experience with Lustre, Kerberos, and Linux Administration Proficiency in scripting languages, including Bash, Python, Go, or Java to create production level services and automation tools that incorporate into CI/CD Proficiency and hands-on experience using Infrastructure as Code (IaC) to automate the creation of cloud resources, virtualized systems, and review infrastructure deployments. E.g. Terraform, Cloud Formation, Ansible, or others Ability to grasp new technologies quickly and prioritize and multitask on multiple responsibilities Hands-on Experience with patching and hardening Linux, MacOS, and Windows Systems (clients and servers), images, and containers Proficient in Network Protocols and Firewall Management, with hands-on experience in configuration and optimization to ensure network security internally and at perimeters Critical thinking and a holistic view of Cyber Security with ability to balance security requirements with mission needs and collaboration across teams Exceptional organizational and time management skills demonstrated through adept autonomy, independent work, collaborative teamwork, and a professional demeanor Strong experience with architecting/deploying scalable security services and workloads in cloud native and virtualized environments Strong experience with securing distributed applications and clustered compute workloads running on CPUs, GPUs, and TPUs Understand engineering design limitations and provide guidance for teams to secure their deployments to achieve desired performance in budget and on time An Independent take-charge attitude while being open-minded, creatively thinking, willing to take calculated risks, and make informed decisions Strong understanding of Cyber Security Standards (ISO27001, NIST 800-53) Experience with Jenkins a plus Experience with Zero Trust Architecture (ZTA) principles and implementations Exposure to data governance, secure data movement, and storage lifecycle management Must have demonstrated proficiency and strength in verbal, written, presentation, and communications skills, including technical diagramming A sense of camaraderie, compassion, and unparalleled passion/energy 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 $160,000 - $240,000 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. 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.