Software Engineer AI Jobs at Latitude AI with Visa Sponsorship
Latitude AI builds autonomous vehicle software, and its Software Engineer AI roles sit at the intersection of machine learning, large-scale inference, and safety-critical systems. The company has a track record of sponsoring work visas for this function, making it a realistic target for international candidates with the right technical background.
See All Software Engineer AI at Latitude AI JobsOverview
Showing 5 of 20+ Software Engineer AI Jobs at Latitude AI jobs
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 20+ Software Engineer AI Jobs at Latitude AI
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Software Engineer AI Jobs at Latitude AI.
Get Access To All JobsINTRODUCTION
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 Bench Infrastructure team is responsible for maintaining critical hardware test infrastructure services at Latitude. This infrastructure supports high-velocity code validation for hundreds of developers, on custom hardware for our next-generation automotive autonomy solution. We are seeking a talented Senior Software Engineer to join the team and ensure the test infrastructure is ready to support a significantly larger scale.
What You’ll Do
- Design and implement software solutions to ensure the usability and supportability of hardware-in-the-loop test execution services
- Deliver streamlined tools which minimize friction for software engineers to build, test, and debug autonomy software
- Identify and resolve stability problems and security vulnerabilities across the entire stack, ensuring the platform remains resilient and secure as the hardware test infrastructure grows
- Leverage performance metrics to pinpoint and remove inefficiencies in test infrastructure logic and complex test runtimes
- Enhance the performance and reliability of test execution, ensuring scheduling logic balances both system throughput and urgent job prioritization
- Maintain performance analysis test logic, ensuring reliable execution and data-driven validation of software performance across diverse hardware configurations
- Act as a technical bridge between Autonomy Software Engineering, IT, and Operations to ensure cross-functional pain points are resolved with scalable technical solutions
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 communication, problem solving, task prioritization and teamwork skills
- Proficiency with Python programming language, navigating a large codebase, and ability to learn other languages or technologies as needed
- Proven track record of designing, developing, and deploying full-stack applications at scale in a Kubernetes-orchestrated production environment
- Ability to diagnose and resolve intricate problems in distributed systems and mitigate technical debt
- Experience with Linux systems, networking, distributed filesystems, and databases using SQL and ORMs
Nice To Have
- Experience with full stack technologies: React, TypeScript, Flask, Postgres, & ORMs
- Experience with DevOps technologies: AWS, Kubernetes, Docker, Terraform, & Ansible
- Experience with Data Warehousing and Visualization: BigQuery, & Superset
- Experience building validation tools for heterogeneous hardware environments, including Linux-based edge devices, robotics, or ML-driven applications
- Experience with C++ & Bazel
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
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.
INTRODUCTION
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 Bench Infrastructure team is responsible for maintaining critical hardware test infrastructure services at Latitude. This infrastructure supports high-velocity code validation for hundreds of developers, on custom hardware for our next-generation automotive autonomy solution. We are seeking a talented Senior Software Engineer to join the team and ensure the test infrastructure is ready to support a significantly larger scale.
What You’ll Do
- Design and implement software solutions to ensure the usability and supportability of hardware-in-the-loop test execution services
- Deliver streamlined tools which minimize friction for software engineers to build, test, and debug autonomy software
- Identify and resolve stability problems and security vulnerabilities across the entire stack, ensuring the platform remains resilient and secure as the hardware test infrastructure grows
- Leverage performance metrics to pinpoint and remove inefficiencies in test infrastructure logic and complex test runtimes
- Enhance the performance and reliability of test execution, ensuring scheduling logic balances both system throughput and urgent job prioritization
- Maintain performance analysis test logic, ensuring reliable execution and data-driven validation of software performance across diverse hardware configurations
- Act as a technical bridge between Autonomy Software Engineering, IT, and Operations to ensure cross-functional pain points are resolved with scalable technical solutions
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 communication, problem solving, task prioritization and teamwork skills
- Proficiency with Python programming language, navigating a large codebase, and ability to learn other languages or technologies as needed
- Proven track record of designing, developing, and deploying full-stack applications at scale in a Kubernetes-orchestrated production environment
- Ability to diagnose and resolve intricate problems in distributed systems and mitigate technical debt
- Experience with Linux systems, networking, distributed filesystems, and databases using SQL and ORMs
Nice To Have
- Experience with full stack technologies: React, TypeScript, Flask, Postgres, & ORMs
- Experience with DevOps technologies: AWS, Kubernetes, Docker, Terraform, & Ansible
- Experience with Data Warehousing and Visualization: BigQuery, & Superset
- Experience building validation tools for heterogeneous hardware environments, including Linux-based edge devices, robotics, or ML-driven applications
- Experience with C++ & Bazel
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
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.
See all 20+ Software Engineer AI at Latitude AI jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Software Engineer AI at Latitude AI roles.
Get Access To All JobsTips for Finding Software Engineer AI Jobs at Latitude AI Jobs
Align your portfolio to AV-specific AI workloads
Latitude AI prioritizes engineers with hands-on experience in perception, prediction, or planning systems. Before applying, reframe your portfolio around real-time inference, sensor fusion, or safety-critical model deployment rather than general ML projects.
Verify your OPT or CPT start dates early
F-1 candidates targeting a Software Engineer AI role should confirm their OPT authorization timeline against Latitude AI's hiring cycle. USCIS recommends applying for OPT up to 90 days before your program end date to avoid gaps.
Target roles that map cleanly to your degree field
H-1B sponsorship requires the role to qualify as a specialty occupation with a direct link between your degree and the position. For AI engineering roles, a degree in computer science, electrical engineering, or a closely related field strengthens that connection significantly.
Ask about H-1B cap-exempt filing options during offers
If you're already on a valid H-1B with another employer, Latitude AI can file an H-1B transfer without waiting for the annual lottery. Clarify with the recruiting team whether your current status allows portability before you resign.
Use Migrate Mate to track open Software Engineer AI roles
Latitude AI's active openings shift frequently as the AV program scales. Use Migrate Mate to monitor current Software Engineer AI postings that explicitly include visa sponsorship, so you're applying to live roles rather than outdated listings.
Prepare for LCA wage level scrutiny in the Bay Area market
DOL Labor Condition Applications for AI engineering roles in high-cost metros are benchmarked against prevailing wage data. Research the DOL's wage level definitions for your job zone so you can assess whether an offer's compensation aligns with what's required for sponsorship.
Software Engineer AI at Latitude AI jobs are hiring across the US. Find yours.
Find Software Engineer AI at Latitude AI JobsFrequently Asked Questions
Does Latitude AI sponsor H-1B visas for Software Engineer AIs?
Yes, Latitude AI sponsors H-1B visas for Software Engineer AI roles. The company has filed H-1B petitions for this function, making it a credible option for international candidates who need employer sponsorship. If you're subject to the annual H-1B lottery, timing your application around Latitude AI's hiring cycle matters, since USCIS registration opens each March for an October 1 start date.
Which visa types are commonly used for Software Engineer AI roles at Latitude AI?
H-1B is the primary long-term work visa for this role, but Latitude AI also supports F-1 OPT and F-1 CPT for students and recent graduates. TN visas are available for Canadian and Mexican nationals in qualifying engineering occupations. Each pathway has different eligibility rules and timelines, so your best fit depends on your citizenship, degree, and current immigration status.
What qualifications and experience does Latitude AI expect for Software Engineer AI positions?
Latitude AI's Software Engineer AI roles typically require a strong background in machine learning, deep learning frameworks such as PyTorch, and experience deploying models in production environments. Familiarity with autonomous vehicle systems, including perception, motion planning, or prediction pipelines, is a significant differentiator. A bachelor's or master's degree in computer science, electrical engineering, or a related field is generally expected for H-1B eligibility.
How do I apply for Software Engineer AI jobs at Latitude AI?
You can find and apply for Software Engineer AI openings at Latitude AI through Migrate Mate, which filters specifically for visa-sponsoring employers and surfaces active Latitude AI listings. Once you identify a matching role, tailor your resume to highlight AI systems work relevant to autonomous vehicles, apply directly through the company's careers portal, and be upfront about your visa sponsorship needs during the initial recruiter screen.
How long does the visa sponsorship process take for a Software Engineer AI role at Latitude AI?
For H-1B transfers from an existing visa, the process can move quickly since you're not lottery-dependent. For new H-1B petitions, you're tied to the annual April lottery cycle with an October 1 start date, meaning a gap of several months between offer and authorization. OPT authorization through USCIS takes up to 90 days to process, so F-1 students should plan their application timeline accordingly.
See which Software Engineer AI at Latitude AI employers are hiring and sponsoring visas right now.
Search Software Engineer AI at Latitude AI Jobs