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:

At Latitude, the Overwatch team builds the systems that run and manage large amounts of computing work across the organization. This work helps engineers train models, test software, and move data reliably at scale. The team owns the platforms that schedule and monitor long-running jobs and keep shared computing resources running efficiently. In addition, the team develops systems that deliver software and data to vehicles and collect logs and telemetry from real-world driving.

What you’ll do: 

• Build and improve systems that orchestrate, schedule, run, and monitor large numbers of ML jobs used across the company for training automated driving features
• Design reliable software that handles failures, retries, and high load while keeping results accurate and timely
• Build and maintain backend services and APIs that support job submission and reliable execution of long-running work
• Investigate production issues, identify root causes, and implement fixes that prevent repeat failures
• Review designs and code to ensure solutions are simple, reliable, and scalable over time
• Collaborate closely with infrastructure, machine learning and data science teams to ensure computing systems are reliable and being optimally used
• Build with scale and maintainability in mind, while rapidly iterating on new ideas

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)
• Experience in designing high-scale distributed systems that meet user requirements
• Prior experience building or operating large-scale job scheduling or workload orchestration platforms, such as container-based or batch computing systems used to manage shared compute resources
• Expertise in back-end languages (e.g., Kotlin, Java, Go, Python) and frameworks
• Experience designing and building distributed systems using modern backend patterns for reliability, coordination, and asynchronous processing
• At least 6+ years of experience in a related field where actively coding & designing 80% of the time
• Comfort working in a fast-moving environment with evolving requirements, where ideas are tested quickly and real user impact guides decisions

Nice to have: 

• Exposure to performance tuning, cost optimization, or capacity planning for compute-intensive workloads
• Experience working on large-scale computing platforms that manage shared resources and competing workloads

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.

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 Autonomy Analytics team is responsible for evaluating the performance of our autonomous software using data, statistics, and machine learning. Combining data from real-world testing with our extensive simulations, our team builds the metrics and analytics that ensure our product is safe, reliable, and delights our customers. 

Our team is spread geographically with some members on-site in Pittsburgh, Palo Alto, and Dearborn. Others work fully remotely.

What you’ll do: 

• Translate loosely defined questions into clear requirements, metric definitions, and analytical deliverables
• Partner closely with software development teams, test engineering, product, and analytics partners to understand needs and deliver trusted data products
• Build and maintain scalable data models in Google BigQuery and similar cloud data platforms to support reporting, analysis, and operational decision-making
• Develop dashboards and lightweight data applications in Apache Superset, Plotly Dash, or similar tools for technical and business stakeholders
• Investigate source data, identify quality issues, and implement durable fixes that improve accuracy, consistency, and reliability
• Create reusable datasets, testing practices, and documentation that strengthen trust in data and improve self-service access
• Balance near-term dashboard development with long-term data modeling work to support both speed and scale
• Communicate findings, assumptions, and tradeoffs clearly to internal stakeholders and external platform or data partners as needed

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)
• Experience building and maintaining analytics-ready data models in Google BigQuery or a similar cloud data warehouse
• Experience using dbt or a similar data transformation framework to develop tested, documented, and maintainable data pipelines
• Experience designing dashboards and analytical applications in Apache Superset, Tableau, or similar reporting and visualization tools
• Strong SQL skills, including complex transformations, data validation, and query optimization
• Experience with Python for data analysis and application development, including the ability to contribute to and maintain Plotly Dash dashboards
• Demonstrated ability to succeed in ambiguous environments by defining requirements, shaping metrics, and creating structure from incomplete problem statements
• Experience partnering with software development, test engineering, product, or similar cross-functional teams to deliver measurable outcomes
• Strong foundation in data modeling, dashboard design, documentation, and quality assurance practices
• Strong written and verbal communication skills with the ability to explain analytical concepts and findings to varied audiences

Nice to have: 

• Experience supporting autonomous vehicle development or other complex hardware and software products
• Experience working with telemetry, operational, or product usage data at scale
• Experience building shared metrics and self-service reporting solutions for engineering and product organizations
• Experience with front-end technologies such as HTML, CSS, JavaScript, or React to support customization and enhancement of data applications and dashboards

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.

Machine Learning Engineer – Inspire11

Elevens, as we call ourselves here, are curiously smart, purposefully scrappy, and dedicated to the highest standard of quality. By being true to ourselves and others, we create a respectful environment that enhances collaboration, drives growth through high expectations, and ensures alignment with our core values. Inspire11 is more than a modern business and technology consulting firm; we're a revolution. We work differently — and it shows. Every move we make is tied to measurable value, and our success aligns with our clients’ success. We partner to simplify the complex, solve sustainably, and stay ahead by continuously pushing our own thinking forward. Value creation isn't something we talk about — it's something we live, every day. 

At Inspire11, we're not just offering a job; we're providing a platform for you to transform the future. You'll feel right at home here if you think differently, build boldly, and lead with impact. We're a place where your unique perspective is valued, your boldness is celebrated, and your potential is unleashed. 

• Growth Through Challenge:  We hold ourselves to the highest standards of excellence and accountability. At Inspire11, we are committed to delivering exceptional results and empowering our employees to take ownership of their work and drive meaningful impact. You'll work alongside elite consultants who challenge you to expand your skills and think even more creatively. 

• The Autonomy to Do Your Best Work: Here, outcomes matter more than outputs. It's about the value we create. You'll have the autonomy to shape your work, drive decisions, and make an impact—not just for our clients but for your growth. You'll be challenged to think strategically, anticipate needs, and solve problems. Bold thinking, creative approaches, and challenging conventional wisdom are part of our DNA. Our clients rely on us to lead them into what's next. 

• Diverse Perspectives Driving Innovative Solutions: We champion inclusivity and authenticity, knowing that diverse perspectives drive better solutions. You'll be encouraged to bring your whole self to work, knowing that's where true innovation happens. We also believe that doing great work should be fun. Our culture thrives on energy, camaraderie, and appreciating the unique contributions that make Inspire11 an amazing place. Our teams get energy from being the best they can be. 

 What you can expect in this role: 

• Designing scalable machine learning infrastructure, including implementing CI/CD pipelines for model deployment
• Monitoring models in production
• Developing Generative AI solutions
• Ensuring security and compliance
• Preprocessing and analyzing datasets
• Developing and fine-tuning ML models to optimize for performance
• Communicating results to stakeholders 

Tools for success: 

• Exhibit strong software engineering principles
• Proficiency in cloud architecture (AWS, Azure, GCP)
• Familiarity with CI/CD and DevOps
• Expertise in data preprocessing and ML techniques
• Experience with model evaluation and libraries like TensorFlow, PyTorch
• Proven experience in ML engineering
• Strong programming skills (Python, R)
• Cloud services and infrastructure knowledge
• Agile methodologies understanding 

Inspire11 is unable to sponsor employment visas at this time. Applicants must be legally authorized to work in the U.S. at the time of application and throughout the duration of employment. 

Inspire11’s Privacy Policy: https://www.inspire11.com/privacy-policy/  

U.S. Compensation & Benefits  

Compensation at Inspire11 
Inspire11 follows Title VII of the Civil Rights Act of 1964, the Equal Pay Act of 1963, the Illinois Human Rights Act, the Illinois Equal Wage Act, and the Illinois Equal Pay Act of 2003. We believe that people performing the same role at the same level, with similar levels of ability or experience, should be similarly compensated. We also believe that the most critical factors driving compensation should be an Eleven’s skill, experience, performance, responsibility, and effort. We may also consider an employee’s length of service, relevant education, training, or certification, and the requirements of a specific job. We may also consider whether the cost of living or competition for talent in specific markets requires adjustments in compensation for employees in those markets. Our goal is to fairly compensate all our Elevens based on these factors within the Company’s financial ability.   

Compensation may be increased or decreased at Inspire11’s discretion based on an employee’s performance reviews, market conditions, and the Company’s financial performance. Inspire11 will always notify an employee in writing before any change is made to their compensation.  

Bonuses 
We may allow employees in Sales, Recruiting, or Leadership to earn periodic bonuses based on sales, revenue, client-specific or practice-specific targets. These targets are communicated to each eligible employee via offer letter or annual update. All such target-based bonuses are calculated based on the Company and an individual’s periodic performance and will only be awarded if: (a) the employee is meeting performance expectations and is an employee in good standing of the Company; (b) the target is met; and (c) the Company’s current financial performance and market conditions permit the bonus to be paid out. All periodic bonuses are discretionary and are earned only when paid out.   

Each year, the Company will decide whether the Company’s financial performance, market performance, and business realities allow it to create an annual bonus pool. If the Company decides that annual bonuses may be awarded, then the Leadership Team will grant annual bonuses to employees in good standing based on the same factors discussed in the previous paragraph while also considering employees’ diligence, performance, expertise, skill, judgment, and experience. To be eligible to participate in this annual bonus pool, an employee must be hired by no later than October 1st of the preceding year. Annual bonuses and merit increases may be prorated based on hire date. Employees eligible for target-based periodic bonuses are not eligible to participate in the annual bonus pool.   

Options or Other Equity in Inspire11 
Inspire11 has a legacy program that allowed certain high-performing employees to purchase shares of the Company through an affiliate. The Company also has a newer program that grants options annually to high-performing employees based on their performance reviews, their managers’ recommendation, and leadership approval. These options have a vesting period associated with them.  

Benefits 
Full-time employees are eligible for the following contributory benefits, where premiums are partially paid by the Company and partially by the employee:   

• Medical insurance plans, 
• Dental insurance plans, and  
• Vision insurance plans.  

Full-time employees are eligible for the following benefits provided wholly by the Company:  

• Short-term disability, providing for a benefit of 60% of an employee’s salary up to a maximum of $2,000 per week for up to 11 weeks after a 7-day waiting period; 
• Long-term disability, providing for 60% of an employee’s salary up to a maximum of $10,000 per month for the time period from the 91st day after a qualifying event through the earlier of the end of the disability or age 67; 
• Life insurance, providing for a benefit of two times the employee’s annual salary, up to a maximum payout of $400,000;   
• A connectivity stipend of $325 annually; 
• Employee Assistance Program, providing for confidential counseling sessions, 24-hour crisis support, online peer support groups, skills training, behavioral health coaching, initial free legal consultations (and discounted rates on referred lawyers), online legal forms, assistance with eldercare and parenting services, among other things.  

Full-time employees are also eligible to participate in the Company’s 401(k) plan, which allows employees to contribute to a standard or Roth IRA. According to a vesting schedule, the Company matches 100% of employee contributions up to 3% of an employee’s salary.  

Depending on eligibility and their elections, full-time employees may also have access to certain tax-advantaged savings accounts set up through the Company, into which employees contribute withheld funds:   

• Flexible savings accounts
• Limited-purpose flexible savings accounts  
• Healthcare savings accounts
• Dependent care savings accounts  
• Commuter benefit accounts  

Paid Time Off and Leave 
Inspire11 grants all eligible employees any statutory leave required by federal, Illinois, or other applicable law, such as FMLA, bereavement, sick leave, emergency leave, jury duty or witness leave, and VESSA leave.   

In addition, Inspire11 has a self-managed paid time off policy (PTO) that does not set predetermined upper limits on the amount of PTO an employee may take. All PTO must be requested in advance and approved by the appropriate supervisor to ensure client work can continue. All full-time employees are expected to take a minimum of one week of PTO each year.   

Inspire11 offers paid parental leave to full-time employees who have been with the company for at least one year. Birthing parents are eligible for up to 12 weeks of paid parental leave, while non-birthing parents are eligible for up to 6 weeks. Short-term disability (STD) benefits are also provided following childbirth. When combined with PTO and STD, birthing parents may receive a total of 18–20 weeks of paid leave. Lastly, Inspire11 has eight paid holidays.  

Other Benefits 
Inspire11 also maintains other programs that provide additional benefits to employees, such as:   

• Impact to 11: a charitable giving matching program where, after being employed by Inspire11 for a year, employees may request that a qualifying charity receive up to $500 in matching donations each year. 
• Professional development benefits for qualifying employees: a program allowing for reimbursement of certain course materials and costs on a discretionary basis for employees who have been at Inspire11 for at least 6 months, with supervisor’s approval. 
• Regular gifts of Inspire11 clothes, office items, and swag.  

Disclaimer 
This document applies only to the United States and to Inspire11 LLC, not our worldwide partners.  

Inspire11 reserves the right to change the benefits offered to employees in accordance with applicable law based on business needs, market conditions, and financial stability. Before changing any benefits, Company will notify all employees of the change and will update this document.  

EEOC 
Inspire11 is an Equal Opportunity Workplace and an Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. If you need assistance or a reasonable accommodation during the application process, please contact us at hr@inspire11.com, or inform your recruiting partner.  

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.

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: 

• Test Strategy & Compliance: Lead the development of Design Verification (DV) and Production Validation (PV) plans. Ensure all hardware-level testing aligns with Ford automotive standards (CETP) and international standards such as ISO 16750 and ISO 26262
• Sensor Validation: Execute and oversee comprehensive testing for sensing modalities including Camera (optics/image quality), Radar (RF performance), Lidar (point cloud accuracy), IMU, and GPS/GNSS
• Reliability Engineering: Conduct environmental and mechanical stress testing (thermal cycling, vibration/shock, humidity, ingress protection, and EMC/EMI) to determine Mean Time To Failure (MTTF) and ensure 10-year/150,000-mile durability
• Vendor & Lab Management: Act as the primary technical point of contact for Tier 1 suppliers and external test labs. Manage the statement of work (SOW), audit lab setups, and ensure external testing is executed to Ford’s precision requirements
• Test Automation & Scripting: Develop and maintain automated test scripts (Python, MATLAB, or Bash) to streamline data acquisition, sensor calibration, and post-processing of large datasets
• Data Analysis & Reporting: Review and interpret complex test results. Perform root cause analysis (RCA) on hardware failures and work closely with design teams to implement hardware revisions
• Cross-Functional Leadership: Mentor junior engineers and collaborate with Systems Engineering, Perception Teams, and Manufacturing to ensure sensor hardware integrates seamlessly into the vehicle platform

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)
• Minimum of seven years of professional experience in hardware testing or reliability engineering.
• Extensive experience testing sensing technologies such as cameras, radar, lidar
• Proficiency in writing scripts using Python or similar languages for data analysis and automation.
• Demonstrated ability to manage projects involving external laboratories and global suppliers.
• Expertise in applying standardized automotive engineering test procedures for environmental and mechanical durability.
• Strong analytical skills for identifying the root cause of hardware malfunctions in automotive electronics.

Nice to have: 

• Direct experience in hardware product development for automotive with a focus on sensing products
• Direct experience/exposure to product development of silicon products such as transceivers, imagers, MCUs
• Manufacturing or industrialization of electronics products

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. 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 a global leader in display technology, advancing in‑vehicle infotainment and visual experiences. As the automotive industry moves toward larger, more integrated, and high‑resolution displays, we seek a technical expert who can connect our cutting‑edge OLED solutions with our strategic OEM & Tier‑1 partners. This high‑impact role places the incumbent at the core of the automotive product‑development lifecycle.

Samsung Semiconductor is looking for a Senior Technical Resident Engineer to act as the primary technical point of contact for our OEM & Tier‑1 customers. The Engineer will be embedded within the customer’s ecosystem, ensuring seamless integration of our display systems into next‑generation vehicle architectures. This position is more than a liaison; it is a technical problem‑solver who understands both the “bits and bytes” of display electronics and the rigorous quality standards of the automotive sector.

Location:  Onsite presence at our Detroit / Warren, MI location in alignment with our Flexible Work policy with flexibility for remote or hybrid work arrangements where feasible.  Ability to work on‑site with customers; however, we support reasonable accommodations to promote work‑life balance

Reports to: Principal Engineer

What You’ll Do

• Serve as the dedicated technical expert on‑site or via remote collaboration tools, providing real‑time support and fostering strong relationships with OEM engineering teams.
• Onsite Technical Leadership - Guide the technical execution of OEM programs through critical phases (APQP, PPAP, DV/PV testing), ensuring deliverables meet automotive timelines while respecting diverse work styles.
• Milestone Management - Diagnose and resolve complex hardware and software integration issues on test benches and prototype vehicles using automotive diagnostic tools, leveraging the strengths of a diverse team.
• Troubleshooting and Analysis -Deliver regular technical status updates to internal and customer program managers, promoting transparent alignment on project goals and issue resolution.
• Reporting and Communication - Deliver regular technical status updates to internal and customer program managers, promoting transparent alignment on project goals and issue resolution.
• System Integration Oversee integration of automotive display modules into vehicle electrical architectures, ensuring compatibility with power, data, and mechanical constraints and accommodating varied accessibility needs.

What You Bring

• Bachelor’s degree in Electrical Engineering or a related field.
• ≥ 5 years experience in automotive electronics or the display industry.
• Background in program management or systems engineering.
• Experience with LCD / OLED automotive displays.
• Demonstrated experience providing technical support to OEM or Tier‑1 customers.
• Experience with OEM programs (e.g., GM, Ford, Stellantis).
• Knowledge of automotive processes such as APQP, PPAP, DV/PV.
• Strong troubleshooting and communication skills, with an emphasis on clear, inclusive language.
• Understanding of vehicle electrical architecture.
• You’re inclusive, adapting your style to the situation and diverse global norms of our people.
• An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
• Innovative and creative, you proactively explore new ideas and adapt quickly to change.

#LI-MD1

We are looking for a Verification and Validation (V&V) System Engineer with a strong technical background in system-level testing, structured test development, and validation of autonomous vehicle behaviors. This role is critical in ensuring Kodiak’s self-driving vehicles behave as expected in both simulation and on-road environments. The ideal candidate thrives working across software, hardware, operations, and safety teams to develop scalable test coverage to support software releases and safety assurance processes. 

This person will be based in the Detroit, MI area. 

In this role, you will:

• Define and implement verification and validation methods across multiple test environments, including simulation, hardware-in-the-loop (HIL), and in-vehicle testing. A major focus will be on structured vehicle-level scenario testing at a test track facility.
• Develop structured test plans and procedures to evaluate system performance and safety for core autonomy features for software releases and key milestones.
• Collaborate with cross-functional teams to scope and execute new tests aligned with feature requirements.
• Develop and refine test workflows to improve efficiency and coverage of critical requirements using a combination of simulation, analysis, and on-road validation.
• Expand the test suite to address edge cases, a wide range of operational conditions, and existing coverage gaps. 
• Analyze test results to identify unexpected behaviors and failures, support root cause triage, and drive resolution.
• Build tools to automate test execution, data extraction, and results reporting, with a focus on repeatability and efficiency.
• Support software release readiness through structured test completion, tracking, failure resolution, and final test documentation and reporting.

What you’ll bring:

• A Bachelor’s or Master’s degree in Robotics, MechE/EE, System Engineering, Computer Science or a related STEM field. 
• Strong experience in verification and validation, systems integration, and/or autonomy testing for complex systems, preferably for autonomous vehicles. 
• Willingness and ability to travel to test/customer sites up to ~25% of the time, depending on needs for key milestones and sprints. 
• Strong organizational and communication skills, with the ability to work cross functionally, prioritize multiple projects, and deliver results in a fast paced development environment. 
• Strong hands-on testing experience at a test facility.
• Bonus:  Proficiency in Python or C++; experience with developing test metrics and KPIs. Ability to query large databases (e.g. ElasticSearch); experience with requirements and test management tools such as JAMA or similar; experienced in the Systems Engineering V-Model and its application to V&V workflows; knowledge of safety critical development standards (e.g. ISO 26262) and familiarity with SOTIF and UL4600.

What we offer:

• Competitive compensation package including equity and annual bonuses
• Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Cigna, and  MetLife (including a medical plan with infertility benefits)
• MetLife Legal Services, Identity & Fraud Protection, Hospital Indemnity Insurance, Accident Insurance, & Critical Illness Insurance
• Flexible PTO, 10 paid holidays, and generous parental leave policies
• Our office is centrally located in Mountain View, CA
• Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging
• Long Term Disability, Short Term Disability, Life Insurance
• Wellbeing Benefits - Headspace through Cigna, Calm through Kaiser, One Medical, Gympass, Spring Health through Cigna, Rula (mental health navigation) 
• Fidelity 401(k)
• Commuter, FSA, Dependent Care FSA, HSA
• Various incentive programs (referral bonuses, patent bonuses, etc.)

Available Location: Detroit, MI

You will work within a high-profile pursuit team dedicated to certain strategic accounts, working closely with the majors account executives attached to these accounts.

Specifically, we are looking for you to:

• Build and maintain long term technical relationships with the technical buyers (executives, managers and individual contributors) at your assigned accounts, becoming a trusted advisor to those stakeholders.
• Deeply understand the business-critical issues that your accounts are facing, and provide meaningful solution designs to facilitate technical validation of Cloudflare as a part of the customer’s infrastructure, including the coordination of Cloudflare colleagues throughout the sales and procurement cycle.
• Identify and drive technical conversations in every possible line of business within the accounts, engaging key technical buyers with the purpose of uncovering new areas of potential revenue & showing value to all possible parts of your accounts.
• Empower customers in their security and network transformation journeys, helping them to define strategies and architect necessary security controls aligned with Cloudflare product suites.
• Be the voice of the customer internally at Cloudflare, engaging with and influencing Cloudflare’s Product and Engineering teams to meet your customers’ needs.
• Represent and evangelize Cloudflare externally at Developer, Community, Technology, Cybersecurity and other industry events with thought leadership and expertise.

Examples of desirable skills, knowledge and experience

• Polished communication and executive presentation skills with ability to drive a discussion with a broad range of stakeholders (from the web developer to the CISO).
• Relationship building: a proven track record of building deep technical relationships with engineers and senior executives in large and strategic accounts. Experience in managing various stakeholder relationships to build consensus on security solutions/projects.
• Experience managing technical sales within large accounts.
• Developing champion-style relationships
• Driving technical wins
• Assisting with technical validation
• A deep understanding of core industry components of Cloudflare solutions (and a desire to learn more):
• Internet security technologies including DDoS and DDoS mitigation, Firewalls, TLS, VPN, DLP
• Networking technologies including TCP, UDP, DNS, IPv4 + IPv6, BGP routing, GRE, SD-WAN, MPLS, Global Traffic Management
• HTTP technologies including reverse proxy (e.g., WAF and CDN), forward proxy (secure web gateway), serverless application development
• Zero-trust network access (ZTNA & SASE) concepts including identity management and authentication
• Cloud computing technologies such as AWS, GCP, Azure and others
• Some scripting or programming experience with one or more of JavaScript, Python, Golang, BASH
• Understanding of, or experience with, regulatory requirements such as FedRAMP, GDPR, PCI DSS, HIPAA, SOC-2, ISO/IEC.

Compensation

Compensation may be adjusted depending on work location.

• For Chicago or Minneapolis based hires: Estimated annual salary of $212,000 - $292,000.

This role is eligible to earn incentive compensation under Cloudflare’s Sales Compensation Plan. The estimated annual salary range includes the on-target incentive compensation that may be attained in this role under the Sales Compensation Plan.

Equity

This role is eligible to participate in Cloudflare’s equity plan.

Benefits

Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.

Health & Welfare Benefits

• Medical/Rx Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Accounts
• Commuter Spending Accounts
• Fertility & Family Forming Benefits
• On-demand mental health support and Employee Assistance Program
• Global Travel Medical Insurance

Financial Benefits

• Short and Long Term Disability Insurance
• Life & Accident Insurance
• 401(k) Retirement Savings Plan
• Employee Stock Participation Plan

Time Off

• Flexible paid time off covering vacation and sick leave
• Leave programs, including parental, pregnancy health, medical, and bereavement leave

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its Design award winner for inclusivity for 2025.

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

With the growth of our Android app, being the most used text-to-speech app in the Play Store, we find the need for a Senior Android Engineer to help us support the new user base as well as work on new and exciting projects to push us forward.   

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Owning major features and working closely with our design team - take ownership of features inside the app and become responsible of delivering high quality features
• Shape the future of our Android team
• Own, maintain and improve reliability metrics for key features
• Participate in discussions across different teams - Product, Design, Engineering
• Review pull requests, and support other teammates
• Handle critical issues or cope with unexpected challenges 
• Take ownership of feature releases and provide nightly builds for the QA team

An Ideal Candidate Should Have

• 5+ years of software engineering experience
• Familiarity with Android components
• Experience building or contributing to at least one Android app
• Product design intuition and user empathy
• Drive to push the boundaries of Android UI/UX
• Understanding of the importance of tests and how to approach writing tests
• Self-drive to improve the app and codebase above and beyond what's outlined in the spec
• Rock solid experience with Kotlin, Kotlin Coroutines, Kotlin Flow, Dagger 2, MVVM, Clean Architecture, Background Services, Music Player Service, Android Animations, Jetpack Navigation, JUnit tests
• Excellent communication skills
• User oriented problem solving approach
• Driven with continuous feedback from leaders

Bonus:

• Experience building, maintaining, or otherwise contributing to open source projects in Android
• Experience with iOS, Web or NodeJS

Technologies we use:

• Kotlin
• Kotlin Coroutines
• Kotlin Flow
• Jetpack Navigation
• Dagger 2
• Room
• Custom Views, Canvas & Paint
• Jetpack Compose
• JUnit

What We offer:

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio.

The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.

The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience             

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 
Refer them! 

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected 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 Embedded Software team develops foundational platform software that is critical to development across the company. The team develops FreeRTOS, SafeRTOS, and bare metal environments for both QM and ASIL applications on a variety of embedded targets including ARM. Projects often impact all levels of the stack from the bootchain to applications and usually require cross-functional collaboration with other engineering teams. We have a strong passion for technical excellence and rigorous compliance with ASPICE and ISO26262. 

What you’ll do: 

• Own development of end-to-end embedded software features from concept through delivery.
• Deliver embedded software that runs on multiple platforms.
• Create architectures and development plans and help the team execute on them effectively.
• Collaborate with other Latitude and Ford software teams to ensure related dependencies are identified and resolved.
• Implement device drivers and bring-up new hardware for the first time.
• Mentor junior engineers and help set the direction of the program through deep technical analysis. 
• Establish and refine best practices for safety-critical embedded software development.

What you'll need to succeed:

• Passion for Embedded Software Development in C and C++
• Experience with one or more of the following:
• FreeRTOS and SafeRTOS development on ARM architectures
• ISO26262, SOTIF, & ASPICE or similar standards for safety critical applications
• Development and deployment of security features such as secure boot, secure communication, secure key management
• Embedded development on multi-core, ARM-based SOCs
• Strong project leadership and communication skills to collaborate across the ASPICE V-model
• Flexibility to work across all layers of the software stack from device drivers to applications
• Expertise in debugging low-level performance issues across a complex embedded system
• 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)

Nice to have (optional):

• Experience using the gtest framework for unit test development
• Development and support of software tools and infrastructure that improve developer experience
• Expertise in Linux-based software development and related technologies including gtests, Python, Bazel, and Docker.
• Development with Automotive Ethernet, UDS, DOIP, Some/IP

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 $218,240 - $327,360 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:

We are seeking a highly skilled Senior Software Engineer specializing in Time Synchronization and Embedded Networking for autonomous systems. You will be responsible for the hands-on design, development, and technical problem-solving for critical timing and networking solutions. This role requires deep expertise in precision timing protocols and functional safety standards to ensure the robust, reliable, and safe operation of our next-generation autonomous platforms.

What you’ll do: 

• Lead the design, development, and implementation of high-precision time synchronization solutions for autonomous systems, utilizing IEEE 1588 (PTP) and IEEE 802.1AS (gPTP), including architecting clock distribution, leveraging hardware timestamping, and implementing efficient time distribution mechanisms
• Design and execute comprehensive testing, validation, and performance optimization strategies for timing systems, ensuring sub-microsecond accuracy, and diagnose and resolve complex timing, latency, and synchronization issues (e.g., task starvation, offset deviations)
• Design, develop, and validate safety-critical time synchronization and networking components in compliance with functional safety standards (e.g., ISO 26262), including creating safety monitors, contributing to safety analyses (HARA, FMEA), and developing verification plans
• Design, develop, and optimize embedded networking solutions, including configuring Ethernet switches and their forwarding mechanisms (e.g., Address Lookup Engines), managing multicast, unicast, VLANs, static ARP/MAC entries, and debugging network traffic flows
• Actively contribute to technical and architectural discussions, collaborate with cross-functional teams and external partners, and contribute to technical documentation and industry standards related to timing and networking

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)
• 5+ years of experience in embedded systems software development, with a significant focus on time synchronization
• Expert-level knowledge and hands-on experience with IEEE 1588 (PTP) and IEEE 802.1AS (gPTP) in real-world embedded systems
• Strong understanding of time synchronization architectures, measurement methodologies, and standards (e.g., NTP, GNSS-based synchronization)
• Proven hands-on experience with timing measurement instrumentation and analysis tools
• Strong understanding and practical experience with functional safety standards (e.g., ISO 26262) for software and systems
• Proficiency in C and modern C++ programming for embedded systems, particularly in RTOS or embedded Linux environments
• Proven experience in designing, implementing, and analyzing network protocols and embedded Ethernet switches
• Excellent problem-solving, analytical, and debugging skills for both time synchronization and networking
• Strong communication skills, with the ability to articulate complex technical concepts and collaborate effectively

Nice to have: 

• Experience with other automotive or industrial communication protocols (e.g., CAN, Automotive Ethernet)
• Knowledge of broader Time-Sensitive Networking (TSN) standards beyond PTP/gPTP
• Experience with simulation tools
• Scripting proficiency (e.g., Python) for automation, testing, and data analysis
• Experience with hardware-in-the-loop (HIL) or software-in-the-loop (SIL) testing
• Familiarity with various System-on-Chips (SoCs) and their networking peripherals
• Knowledge of network security concepts like MACSec in embedded systems
• Experience with kernel-level programming, device drivers, and/or real-time systems software

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.

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.

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 Unified Model development team is a group of highly skilled and experienced professionals who specialize in cutting-edge computer vision and machine learning technology. Together, we collaborate to create advanced detection models that are capable of generating representations of both static and dynamic actors. These representations are then utilized by various downstream autonomy consumers including motion planning, prediction, and localization.

The team's primary focus is on developing compute-efficient, multi-view, multi-sensor deep learning models that can perform a wide range of tasks such as 3D object detection, lane line detection, state estimation, and scene segmentation. The ultimate goal is to take these algorithms from the lab to the road, ensuring that they are optimized for onboard performance and able to function as production-grade vision systems on vehicles.

To achieve this goal, the team constantly stays up-to-date with the latest research literature and pushes the boundaries of what is possible. We are dedicated to developing cutting-edge ML algorithms and models that can help vehicles reason about the world around them in real-time.

What you’ll do: 

• Develop spatio-temporal machine learning models for detection, multi-sensor fusion, segmentation, etc.
• Read literature, analyze raw data, and design state-of-the-art solutions
• Transition solutions from the lab to the test track and public roads to ensure successful production-level implementation.
• Collaborate with perception experts and experienced roboticists on algorithm design, prototyping, testing, deployment, and productization
• Build and maintain industry-leading software practices and principles
• Develop clean and efficient software for perception modules interfacing with other key modules
• Show initiative and be a valued team member in a fast-paced, innovative, and entrepreneurial environment

What you'll need to succeed:

• A Bachelor's or Master's Degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics, or a related field plus 7 years of industry experience.
• Expert-level knowledge and experience in machine learning, with a proven track record of developing and deploying deep learning solutions using PyTorch, Tensorflow, or similar frameworks
• Experience in developing perception systems using sensors such as Camera, Radar, and LiDAR
• Strong experience in computer vision, perception, and point cloud processing
• Proven experience in shipping computer vision software products to industry or consumers
• At least 5 years of development experience in Python/C++ environments.

Level and title will ultimately be determined based one experience and interview performance.

Nice to have (optional):

• Ph.D. with machine learning focus, or equivalent experience
• Experience developing and deploying temporal computer vision models (for instance, video activity recognition or using multiple frames for improved results on other tasks).

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
• 13 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.

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:

As Latitude’s Data Platform team, our mission is to build the scalable, high-performance infrastructure that turns structured data into insight to drive Latitude’s business forward. We provide foundational solutions for handling, processing and visualizing large-scale data to ensure every team at Latitude—from Autonomy to Machine Learning to Fleet Operations—can measure what matters.

We promote Data as a Product; this means applying rigorous software engineering discipline to data assets: versioning, public/private interfaces for data models, and a relentless focus on automated testing. To scale these principles across our org, we design self-service systems that prioritize continuous, iterative delivery, developer velocity, cost transparency and efficiency by default.

What you’ll do: 

In this role, you will help build and evolve:

• A High-Performance Cloud-Native Stack: Work with a blend of serverless cloud analytics tools and self-hosted Kubernetes deployments to serve a diverse range of internal stakeholders
• Abstracted Data Frameworks: Develop internal tooling that enables engineers to self-serve data loading and testing. You’ll work on systems capable of handling high-throughput, low-latency streaming and massively parallel bulk loads scaling to hundreds of terabytes daily, with robust support for generic and customer-defined data unit and integration testing and monitoring. You’ll work closely with teams such as Latitude’s Autonomy Analytics team, among many others, to understand and generalize platform feature needs and provide guidance/documentation on usage
• Open Source & Custom Tooling: We deploy and scale industry-leading data engineering and analytics tools. We lean into the open-source ecosystem, deploying and extending OS solutions such as dbt, Airflow and Superset to serve Latitude’s unique autonomy and ML use cases
• A Rich Metadata Layer: Provide the automation and cataloging tools that serve as the backbone for discovery and tracing. You will play a key role in enabling a well-documented data front ready for both human exploration and LLM/RAG-based consumption

What you'll need to succeed:

• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 2+ years of relevant experience, Master's degree, or PhD
• Software Craftsmanship: Strong Python development skills with a focus on SOLID design principles. You have experience managing the full lifecycle of internal packages, from intake and design to release and maintenance.
• Cloud & Infrastructure: Experience managing cloud infrastructure via Infrastructure as Code (IaC). You should be comfortable with Docker, Terraform, Kubernetes, Helm, and observability via Grafana or similar.
• Data Fluency: Understanding of SQL and OLAP concepts. You are familiar with the architecture of Massively Parallel Processing (MPP) systems (e.g., BigQuery, Redshift, or ClickHouse) and understand how to optimize for both performance and cost. Experience with dbt is a plus.
• Distributed Orchestration and Streaming: Familiarity with data orchestration tools (e.g., Airflow, Dagster) and a conceptual understanding of distributed stream processing (e.g., the Apache Beam model). You should understand challenges like watermarks, stateful processing, and temporal consistency.
• The "Internal Customer" Mindset: You are a product-minded engineer. You have the empathy to understand the pain points of your fellow engineers and the drive to build tools that are actually useful. You maintain a high bar for quality while prioritizing high-impact delivery.

Bonus Points:

• Automated Release Engineering: A standard-bearer for CI/CD excellence. You understand how to build robust Jenkins or GitHub Actions pipelines that automate testing, linting, and deployment, ensuring a high-velocity but safe development environment.
• Privacy & Security by Design: Experience with end-to-end security and isolation. You understand the importance of least-privilege access, service account management, and automated data anonymization/governance.

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 $150,320 - $225,480 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) is an automated driving technology company developing a hands-free, eyes-off driver assist system for next-generation 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 Latitude AI Systems Engineering team brings all the components of the autonomy stack together into a unified product.  We work very closely with all cross functional teams to define the architecture, requirements, test plans, and test cases of the following features and functions:

• A suite of ADAS features at different levels of autonomy (L1, L2 and L3), such as Blind Spot, Rear Cross Traffic Alert, Base Park Aid, Lane Keeping & Change Assist, ACC, L2 Hands-On and Hands-Free, L3 Eyes-Free,.
• Onboard (vehicle) and Offboard (cloud) autonomy functions of Mapping, Prediction and Motion Planning.
• Onboard (vehicle) and Offboard (cloud) platform capabilities and functions such as Logging, Time Synchronization, Data Ingest and OTA SW Updates.

What you’ll do: 

• Ownership (lead and execute) of the systems engineering of multiple ADAS Features at Latitude and integration with Ford Platforms
• Write requirements for the performance for a variety of features and the related functions considering nominal operations, vehicle and environmental variations, and operational domain bounding conditions
• Write verification and validation plans, set acceptance criteria (performance targets) and support the needed V&V testing of our features
• Perform failure analyses to identify potential failure mechanisms and preventions. 
• Lead system level performance analysis and build evaluation pipelines. This would include designing metrics, defining targets, requiring novel research and ownership
• Work closely with the perception, behavioral / motion planning Software teams at both Latitude and Ford in creating the functional and sw architectures.
• Work closely with the Integration and Test team at Latitude to develop and execute the Design Verification Plan for our features to inform product readiness for launch. 
• Periodically get hands-on with the product and see the designs in action and to provide expert feedback/insight to relevant teams.

What you'll need to succeed:

• Bachelor or Master’s Degree in Computer Science, Mechanical, Electrical, or Computer Engineering
• At least 4+ years of experience working in either automotive or robotics engineering, or a related field
• Experience working in production applications of perception and motion planning
• Experience writing functional requirements
• Experience with the analysis and testing of complex systems through data-driven approach and statistical analysis
• Experience designing and developing algorithms
• Experience with Python, C++, or other programming skills + git experience

Nice to have:

• Doctorate Degree with a focus in robotics perception or motion planning
• Familiarity with model-based systems engineering tools (ex: MagicDraw)
• Familiarity with requirements management tools (ex: Jama)
• Experience with autonomous vehicle testing
• Experience writing safety requirements to meet ISO 26262, SOTIF/ISO 21448 or similar standards

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
• Complimentary (reported as income) daily lunches, beverages, and snacks for onsite employees
• 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!

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 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 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

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.

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 State Estimation team is a group of highly skilled and experienced professionals who specialize in cutting-edge multi-object tracking, scene estimation, and machine learning technology. Together, we collaborate to create advanced Bayesian filters, graph models, and deep learning models that are capable of temporally tracking both static and dynamic actors as well as estimating road features. The State Estimation team is the interface of the perception system to various downstream autonomy consumers including motion planning, prediction, and localization.

The team's primary focus is on developing compute-efficient models and systems that can perform a wide range of tasks such as closed world multi-object tracking, track-to-detection data association, object motion forecasting, uncertainty estimation, lane line temporal smoothing, perception based road shape generation, and open world scene tracking and state estimation. The ultimate goal is to take these algorithms from the lab to the road, ensuring that they are optimized for onboard performance and able to function as production-grade perception systems on vehicles.

To achieve this goal, the team constantly stays up-to-date with the latest research literature and pushes the boundaries of what is possible. We are dedicated to developing cutting-edge tracking algorithms, ML algorithms, and models that can help vehicles reason about the world around them in real-time.

What you’ll do: 

• Develop machine learning models and Bayesian filtering algorithms for multi-object tracking, state estimation, and uncertainty estimation 
• Develop estimation algorithms for road feature estimation such as lane lines and speed limit as well as estimating the road shape. 
• Develop forecasting algorithms for actors in the scene to estimate time-to-collision and threat levels for automatic emergency braking  
• Read literature, analyze raw data, and design state-of-the-art solutions
• Transition solutions from the lab to the test track and public roads to ensure successful production-level implementation
• Collaborate with perception experts and experienced roboticist on algorithm design, prototyping, testing, deployment, and productization
• Build and maintain industry-leading software practices and principles
• Develop clean and efficient software for perception modules interfacing with other key modules
• Show initiative and be a valued team member in a fast-paced, innovative, and entrepreneurial environment

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)
• Relevant knowledge and experience in machine learning, with a proven track record of developing and deploying deep learning solutions using PyTorch or similar frameworks
• Experience in developing multi-object tracking systems using classical algorithms or machine learning algorithms
• Strong experience in deep learning, Bayesian filtering, and optimization algorithms
• Proven experience in shipping perception software products to industry or consumers
• At least 4 years of development experience in Python/C++ environment

Nice to have: 

• Ph.D. with machine learning focus, or equivalent experience
• Experience developing and deploying machine learning models with compute constraints

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.

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 Latitude AI Motion Planning team brings all the components of the autonomy stack together. The Motion Planning team takes inputs from perception, prediction, and mapping and plans how to safely yet comfortably navigate complex driving scenarios. This involves routing to the desired destination, making high-level decisions with respect to driver input and other road users (including vehicles, cyclists, pedestrians, etc.), and generating an optimal trajectory for the AV to execute.

What you’ll do: 

• Design and develop algorithms in one or more areas of the Motion Planning stack, ranging from route planning, behavior planning, trajectory optimization, decision making, and machine learning
• Extensively test your algorithms, through unit testing, simulation testing in the cloud, log playback and resim, and on vehicle testing
• Develop tools for visualization and debugging, and use them to analyze logs from fleet testing
• Analyze metrics from fleet testing to prioritize next steps
• Optimize the runtime and memory efficiency of the onboard Motion Planning software
• Coordinate with other autonomy teams to ensure that Motion Planning is provided the inputs it needs

What you'll need to succeed:

• The Motion Planning team is looking for deep expertise in either Motion Planning or Software Engineering (or both)
• 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)
• While breadth is helpful, a depth of knowledge and application experience in a relevant Robotics/ Motion Planning subspecialty is most desirable. Examples of relevant subspecialties include: graph or sampling-based planning in high-dimensional state spaces, computational geometry, behavioral planning and decision making, planning under uncertainty (POMDPs etc.), model-predictive planning and control, convex optimization, reinforcement learning, imitation learning, etc
• A baseline level of skill in modern C++ programming and software engineering is required for all team members, even Motion Planning domain experts. Python programming experience is also helpful but not required
• Industry experience writing production-quality, performance-critical code, and maintaining large codebases is desired
• Strong written and verbal communication skills are required

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.

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 Latitude AI Autonomy Behavior team is responsible for designing and building systems that allow an autonomous vehicle to understand the current scene around it, predict how the scene will evolve in the future and make decisions on how to respond.  The team focuses on deploying SOTA algorithms in limited compute environments, and writing efficient software architectures that take advantage of hardware optimizations.

You will play a key role in improving the quality and safety of the autonomy system through the optimization and integration of both modern (transformer, etc…) and classical ML (Random Forest, SVM, etc..) models. Our models utilize time series data to solve regression, generation, and classification tasks.  Improving model inference and latency on our target hardware allows us to deploy deeper and more powerful models and improve the vehicle’s ability to reason in complex situations.

What you’ll do: 

• Integrate and optimize algorithms and models for predicting the future behavior of other traffic participants in real time and planning a proper response
• Measure the statistical properties and quality of predictions and plans
• Build a system that safely handles nominal and out-of-distribution driving events
• Evaluate and verify the system's performance on real-world and simulated data
• Improve and deliver reliable software through continuous integration, automated testing and code reviews
• Collaborate across different teams to jointly achieve objectives in improving system performance
• Monitor system performance and ensure designs and implementation stay within resource constraints

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)
• Fluency in modern C++ including good software design skills and experience with Python
• Familiarity with PyTorch, ONNX and deployment/optimization of models is desired
• Knowledgeable in areas pertaining to probabilistic inference, probability theory, statistics
• Application of Machine Learning in classification, regression, time series forecasting
• Willingness to dive into anything, but know when to ask for cross team collaboration
• Industry experience writing production-quality, performance-critical code, and maintaining large codebases is desired
• Strong written and verbal communication skills are required

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.

Why you'll love this role

As a Senior Data Engineer, you will be empowered to leverage data to drive amazing customer experiences and business results. You will own the end to end development of data engineering solutions to support analytical needs of the business. The ideal candidate will be passionate about working with disparate datasets and be someone who loves to bring data together to answer business questions at speed. You should have deep expertise in the creation and management of datasets and the proven ability to translate the data into meaningful insights through collaboration with analysts, data scientists and business stakeholders.You will partner with accounting and finance business teams in expanding Financial Data Repository to support new business initiatives. Sr Data Engineer of Finance Data Repository is most challenging and exciting role to work for, with new business initiative launches in payments, finance , tax and ordering platform. Its highly critical to manage the changes on daily basis for proper accounting to keep our books clean and accurate. 

What you'll do

• Design and build mission critical data pipelines with a highly scalable distributed architecture - including data ingestion (streaming, events and batch), data integration, data curation
• Help continually improve ongoing reporting and analysis processes, simplifying self-service support for business stakeholders
• Build and support reusable framework to ingest, integration and provision data
• Automation of end to end data pipeline with metadata, data quality checks and audit 
• Build and support a big data platform on the cloud
• Define and implement automation of jobs and testing
• Optimize the data pipeline to support ML workloads and use cases
• Support mission critical applications and near real time data needs from the data platform
• Capture and publish metadata and new data to subscribed users
• Work collaboratively with business analysts, product managers, data scientists as well as business partners and actively participate in design thinking session
• Participate in design and code reviews
• Motivate, coach, and serve as a role model and mentor for other development team associates/members that leverage the platform 

About you

• 5 to 7 years experience in data warehouse / data lake house technical architecture
• 3+ years of experience in using programming languages (Python / Scala / Java / C#) Minimum
• 3 years of Big Data and Big Data tools in one or more of the following: Batch Processing (e.g. Hadoop distributions, Spark), Real time processing (e.g. Kafka, Flink/Spark Streaming)
• Minimum of 2 years' experience with AWS or engineering in other cloud environments
• Strong Knowledge of Databricks SQL/Scala - Data Engineering Pipelines
• Experience with Database Architecture/Schema design
• Strong familiarity with batch processing and workflow tools such as dbt, AirFlow, NiFi
• Ability to work independently with business partners and management to understand their needs and exceed expectations in delivering tools/solutions
• Strong interpersonal, verbal and written communication skills and ability to present complex technical/analytical concepts to executive audience
• Strong business mindset with customer obsession; ability to collaborate with business partners to identify needs and opportunities for improved data management and delivery
• Experience providing technical leadership and mentoring other engineers for best practices on data engineering
• Bachelor's degree in Computer Science, or a related technical field

Why you'll love this role

As a Senior Data Engineer, you will be empowered to leverage data to drive amazing customer experiences and business results. You will own the end to end development of data engineering solutions to support analytical needs of the business. The ideal candidate will be passionate about working with disparate datasets and be someone who loves to bring data together to answer business questions at speed. You should have deep expertise in the creation and management of datasets and the proven ability to translate the data into meaningful insights through collaboration with analysts, data scientists and business stakeholders.You will partner with accounting and finance business teams in expanding Financial Data Repository to support new business initiatives. Sr Data Engineer of Finance Data Repository is most challenging and exciting role to work for, with new business initiative launches in payments, finance , tax and ordering platform. Its highly critical to manage the changes on daily basis for proper accounting to keep our books clean and accurate. 

What you'll do

• Design and build mission critical data pipelines with a highly scalable distributed architecture - including data ingestion (streaming, events and batch), data integration, data curation
• Help continually improve ongoing reporting and analysis processes, simplifying self-service support for business stakeholders
• Build and support reusable framework to ingest, integration and provision data
• Automation of end to end data pipeline with metadata, data quality checks and audit 
• Build and support a big data platform on the cloud
• Define and implement automation of jobs and testing
• Optimize the data pipeline to support ML workloads and use cases
• Support mission critical applications and near real time data needs from the data platform
• Capture and publish metadata and new data to subscribed users
• Work collaboratively with business analysts, product managers, data scientists as well as business partners and actively participate in design thinking session
• Participate in design and code reviews
• Motivate, coach, and serve as a role model and mentor for other development team associates/members that leverage the platform 

About you

• 5 to 7 years experience in data warehouse / data lake house technical architecture
• 3+ years of experience in using programming languages (Python / Scala / Java / C#) Minimum
• 3 years of Big Data and Big Data tools in one or more of the following: Batch Processing (e.g. Hadoop distributions, Spark), Real time processing (e.g. Kafka, Flink/Spark Streaming)
• Minimum of 2 years' experience with AWS or engineering in other cloud environments
• Strong Knowledge of Databricks SQL/Scala - Data Engineering Pipelines
• Experience with Database Architecture/Schema design
• Strong familiarity with batch processing and workflow tools such as dbt, AirFlow, NiFi
• Ability to work independently with business partners and management to understand their needs and exceed expectations in delivering tools/solutions
• Strong interpersonal, verbal and written communication skills and ability to present complex technical/analytical concepts to executive audience
• Strong business mindset with customer obsession; ability to collaborate with business partners to identify needs and opportunities for improved data management and delivery
• Experience providing technical leadership and mentoring other engineers for best practices on data engineering
• Bachelor's degree in Computer Science, or a related technical field

About the role

The Solutions Architect serves as the technical bridge between our customers and engineering teams. Sitting within the Growth team and reporting to a Chief Engineer, you will be the primary technical voice for our business development operations, and continue to guide systems design and implementation across build and delivery. Your mission: make the team technically impressive, ensuring every customer conversation, white paper, and proposal is grounded in a credible, differentiated technical narrative that maps Applied Intuition’s capabilities to the customer’s mission.

At Applied Intuition, you will:

• Design bespoke solution architectures, integration concepts, and Concept of Operations (CONOPS) for specific DoD pursuits.
• Translate complex software capabilities into mission-relevant narratives for government engineers, SETAs, and technical evaluation teams.
• Act as the technical engine for the BD team, providing the substance for white papers, capability briefs, and RFI/RFP technical volumes.
• Lead technical customer engagements, including deep-dive architecture reviews and product demonstrations.
• Serve as the primary liaison between Growth and Engineering/Product teams to ensure capture strategies align with our roadmap.
• Conduct competitive technical analysis to identify architectural strengths and weaknesses versus industry incumbents.
• Convert customer requirements and operational constraints into actionable technical feedback for our product development cycles.

We’re looking for someone who has:

• BS or MS in Computer Science, Systems Engineering, or a related technical field.
• 5+ years of experience in technical pre-sales, systems engineering, or software architecture.
• Deep understanding of DoD technical environments, including classification levels (NIPR/SIPR/JWICS) and accreditation processes (ATO/IATT).
• Technical breadth across software architecture, data infrastructure, AI/ML, and edge computing.
• Proven ability to translate complex engineering concepts for non-technical Program Managers and senior stakeholders.
• Experience with systems integration and networking within operational military environments.
• Active Secret or Top Secret security clearance.

Travel Requirements:

• Must be willing to travel as projects requires; average travel varies, but can be up to once a month for up to 1 week (~25%)

Security Requirements:

• Must be a U.S. Citizen
• Must hold or be eligible to obtain and maintain a U.S. security clearance 

For more information about U.S. security clearances: click here.

Nice to have:

• Familiarity with U.S. Navy platforms, systems, missions, and organizations
• Experience with modeling and simulation (M&S) frameworks or autonomous vehicle stacks.
• Familiarity with DevSecOps pipelines and containerization (Kubernetes, Docker) in secure environments.
• Previous experience supporting a high-growth defense tech startup or a major defense prime.

Compensation & Benefits

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

For pay transparency purposes, the base salary range for this full-time position in Washington, D.C. is: $200,000 - 250,000.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day.

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

With the growth of our iOS app, being the #18 productivity app in the App Store category and also our recent recognition as Apple's 2025 Design Award for Inclusivity, we find the need for a Senior iOS Engineer to help us support the new user base as well as work on new and exciting projects to push our missing forward.   

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Opportunity to lead key engineering and product decisions
• Actively shipping production code for the Speechify iOS app
• Work within a dedicated product team
• Participate in product discussions to shape the product roadmap
• Maintain and enhance the existing complex app architecture

An Ideal Candidate Should Have

• Experience. You've worked on products that scaled to a large user base
• Track record. You have worked on various products from inception to decent traction. You have been responsible for engineering the product
• Customer obsession. We expect every team member whose responsibilities directly impact customers to be constantly obsessed about providing the best possible experience
• Product thinking. You make thoughtful decisions about the evolution of your product and support internal teams and designers into taking the right direction
• Speed. You work quickly to generate ideas and know how to decide which things can ship now and what things need time
• Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
• Technical skills. Swift, SwiftUI

Technical Requirements:

• Swift Programming Language
• SwiftUI experience
• Experience in Multithreading Programming
• Working with CI/CD infrastructure
• Experience with Fastlane
• SOLID principles, the ability to write every single class according to SOLID
• Experience with Git and understanding of different Git strategies

What We offer:

• A fast-growing environment where you can help shape the company and product
• An entrepreneurial crew that supports risk, intuition, and hustle
• The opportunity to make a big impact in a transformative industry
• A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture
• Work on a product that millions of people use and where daily feedback includes users sharing that they cried when they first found the product because it was so impactful on their lives
• Support people with learning differences like Dyslexia, ADD, Low Vision, Concussions, Autism, and Second Language Learners, and give reading superpowers to professionals all over the world
• Work in one of the fastest growing sectors of tech: Intersection of Artificial Intelligence and Audio 

The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace.

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

ABOUT ROCKET MONEY 🔮

Rocket Money’s mission is to meaningfully improve the financial prosperity of millions of people. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.

ABOUT THE TEAM 🤝

Data Platform Engineers at Rocket Money further our mission by building and maintaining the infrastructure that enables our company to understand our users and products through reliable, scalable data systems. We build the foundational platform that ingests, processes, and serves data—enabling our Data Analytics, Machine Learning, and Software Engineering teams to build data products efficiently. We work closely with engineering teams to ensure data is captured correctly at the source, design resilient pipelines, and create self-service capabilities that empower stakeholders.

The Data Platform team is in an exciting phase of growth and formalization. While we have established tools and processes in place (dbt, BigQuery, Terraform), we're actively building the comprehensive standards, practices, and systems that will scale with Rocket Money as it grows. We're looking for engineers who can take ownership and evolve workflows into reliable, well-documented, production-grade systems. This is an opportunity to shape architectural decisions, establish team practices, and define how Rocket Money works with data for years to come.

We have a strong preference for process-oriented systems thinkers who excel in balancing stakeholder requirements, technical debt, and organizational complexity—and who thrive in environments where they need to create structure from ambiguity. You'll need to be comfortable making principled decisions, taking ownership not just of code but of outcomes, and operating with significant autonomy as we build the platform together.

ABOUT THE ROLE 🤹

In this role, you will:

• Be an end-to-end owner of our data platform infrastructure, ensuring its security, usability, and performance. Work closely with analytics engineers, machine learning engineers, and software engineers to ensure the platform meets their needs.
• Make collaborative decisions about data tooling, pipeline design, and governance, and implement opinionated interfaces that facilitate easy and best-practice-aligned development for other teammates.
• Continuously improve failure rates for data sources by moving alerting “to the left”; i.e. catching and quarantining bugs/failures as close to the source as possible.
• Analyze patterns in how source data is generated, modeled, and consumed. Work with stakeholders to implement the best solution when new data sources are added.
• Take ownership of existing tools and workflows that may be functional but lack formal structure, documentation, or reliability measures. You'll assess what's working, identify gaps, and systematically improve systems to production-grade quality.
• Document everything you build knowing that you're creating the foundation others will build upon. Your runbooks, architecture decision records, and system documentation will become the institutional knowledge of our data platform.
• Proactively communicate with multiple stakeholders on platform capabilities, technical constraints, architectural decisions, project priorities, and platform support.
• Confidently juggle multiple projects and priorities in our fast-paced environment and work with stakeholders and platform teammates to ensure infrastructure changes, migrations, and improvements are delivered on schedule.
• Automate aggressively and deliberately; anything from GitHub Actions to Slack Workflows to minimize repetitive tasks. Effectively judge when the level of effort is appropriate and avoid over-engineering.

ABOUT YOU 🦄

• You have 6+ years of experience working with data infrastructure, data engineering, or platform engineering within a fast-paced environment. You are highly proficient with SQL, Python, and cloud-based Infrastructure-as-Code (e.g. Terraform), and comfortable working with bash/shell scripting.
• You have 4+ years of production experience with modern data stacks including data warehouses (BigQuery, Snowflake, or Redshift), orchestration tools, managed ingestion services, and infrastructure as code (Terraform, Pulumi, or CloudFormation).
• You have 2+ years of experience building and maintaining production data pipelines, whether through ELT tools, custom applications, streaming systems, or event-driven architectures.
• You've successfully "professionalized" data infrastructure before—taking scrappy, working systems and evolving them into reliable, well-documented, production-grade platforms. You can articulate what "production-ready" means in a data context.
• You have a bias toward action and aren't paralyzed by imperfect solutions. You understand when "good enough for now with a plan to improve" beats "perfect but six months late." You ship incrementally and iterate based on feedback.
• You're comfortable being the first person to tackle a problem. You don't need extensive mentorship or detailed tickets—you can take a high-level business need and figure out the technical approach. That said, you know when to ask for help and can articulate what you need.
• You take ownership seriously—not just of writing code, but of outcomes. When you build something, you implement monitoring, write runbooks, create alerts, and ensure it can be maintained by others. You think about the full lifecycle of systems, not just initial delivery.
• You have strong opinions, weakly held. You can make and defend architectural decisions, but you're open to feedback and willing to change course when presented with better information. You can disagree and commit.
• You understand that "building from scratch" doesn't mean rejecting existing tools—it means thoughtfully selecting, configuring, and integrating managed services and open-source solutions to create a cohesive platform. You know when to build and when to buy.
• You have experience making big changes to critical data infrastructure. You’ve successfully re-architected, migrated, or upgraded data tooling that has strict SLA’s, without significantly affecting downstream stakeholders.

Bonus points if:

• You have led a data infrastructure migration or modernization project where you defined the vision, approach, and implementation.
• You have created internal tools, frameworks, or CLIs that improved how teams work with data (not just one-off scripts).
• You have established data platform best practices like CI/CD workflows, testing frameworks, or observability standards where none existed.
• Expertise in cloud platforms and technologies analogous to our stack:
  • Our stack: GCP (BigQuery, Datastream, Cloud Functions, Vertex AI, GCS), dbt, Fivetran, Postgres, Python, Terraform, Looker, Retool
  • Analogous experience: AWS (Redshift, DMS, Lambda, SageMaker, S3) or Azure (Synapse, Data Factory, Functions), Snowflake, Airbyte/Stitch, infrastructure as code tools, BI platforms

WE OFFER 💫

• Health, Dental & Vision Plans
• Life Insurance
• Long/Short Term Disability
• Competitive Pay
• 401k Matching
• Team Member Stock Purchasing Program (TMSPP)
• Learning & Development Opportunities
• Tuition Reimbursement
• Unlimited PTO
• Daily Lunch, Snacks & Coffee (in-office only)
• Commuter benefits (in-office only)

Additional information: Salary range of $160,000 - $200,000 + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.

Rocket Money, Inc. is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

The Role 

We’re seeking an exceptional Application SW Engineer to join our Application Engineering org, focused on localising and advancing Wayve’s autonomous driving technology for the US market. This is a unique opportunity to play a hands-on role in shaping our AV capabilities in the US from the ground up.

In this role, you’ll be responsible for the bring-up and early validation of our AI software stack on customer hardware platforms, ensuring seamless performance across diverse SoCs and operating systems. You’ll collaborate closely with cross-functional teams across Verification, Release, and OEM partners to ensure smooth integration and reliable delivery.

Responsibilities:

• Execute software bring-up on customer hardware platforms (e.g. NVIDIA Drive, Qualcomm Ride).
• Port and configure Linux-based systems, QNX, and Adaptive AUTOSAR environments.
• Integrate and validate drivers, middleware, and boot-time configurations.
• Collaborate with Verification & Release teams to integrate hardware into CI/CD, HIL, and test infrastructure.
• Work with OEM and Tier 1 teams to resolve hardware-specific integration issues.
• Implement system-level diagnostics, logging, and secure boot configuration.
• Develop automation for setup, flashing, health checks, and test execution on target hardware.

About you 

In order to set you up for success as an Application Software Engineer at Wayve, we’re looking for the following skills and experience.  

Essential 

• 8+ years of experience in embedded or automotive software development, ideally with hands-on platform bring-up experience.
• Strong proficiency in C/C++, Bash, and Python.
• Deep understanding of Linux-based embedded systems (Yocto, systemd, bootloaders, device trees).
• Familiarity with QNX and Adaptive AUTOSAR environments and the ability to configure and debug them on target hardware.
• Experience with bring-up on automotive-grade SoCs (e.g., NVIDIA Orin, Qualcomm SA8295/SA8650, Renesas, TI).
• Comfortable working with hardware debuggers, flashing tools, serial consoles, and board support packages (BSPs).
• Familiarity with communication protocols like CAN, Ethernet, PCIe, SPI, I2C.
• Hands-on experience integrating embedded platforms into CI/CD pipelines and test automation frameworks.

Desirable 

• Exposure to automotive verification environments (e.g., HIL systems, Vector toolchains, custom CI rigs).
• Experience working in a safety-critical domain with an understanding of ISO 26262, boot-time determinism, and watchdogs.
• Understanding of secure boot, OTA updates, and system-level cybersecurity topics.
• Familiarity with Docker, Jenkins, Git, and artifact management tools like JFrog Artifactory.

This role is a full-time role based in Sunnyvale or Detroit (hybrid) and the reasonably estimated salary for this role ranges from $209,700 to $298,200 plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.

At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.  

The Role 

We’re seeking an exceptional Application SW Engineer to join our Application Engineering org, focused on localising and advancing Wayve’s autonomous driving technology for the US market. This is a unique opportunity to play a hands-on role in shaping our AV capabilities in the US from the ground up.

In this role, you’ll be responsible for the bring-up and early validation of our AI software stack on customer hardware platforms, ensuring seamless performance across diverse SoCs and operating systems. You’ll collaborate closely with cross-functional teams across Verification, Release, and OEM partners to ensure smooth integration and reliable delivery.

Responsibilities:

• Execute software bring-up on customer hardware platforms (e.g. NVIDIA Drive, Qualcomm Ride).
• Port and configure Linux-based systems, QNX, and Adaptive AUTOSAR environments.
• Integrate and validate drivers, middleware, and boot-time configurations.
• Collaborate with Verification & Release teams to integrate hardware into CI/CD, HIL, and test infrastructure.
• Work with OEM and Tier 1 teams to resolve hardware-specific integration issues.
• Implement system-level diagnostics, logging, and secure boot configuration.
• Develop automation for setup, flashing, health checks, and test execution on target hardware.

About you 

In order to set you up for success as an Application Software Engineer at Wayve, we’re looking for the following skills and experience.  

Essential 

• 8+ years of experience in embedded or automotive software development, ideally with hands-on platform bring-up experience.
• Strong proficiency in C/C++, Bash, and Python.
• Deep understanding of Linux-based embedded systems (Yocto, systemd, bootloaders, device trees).
• Familiarity with QNX and Adaptive AUTOSAR environments and the ability to configure and debug them on target hardware.
• Experience with bring-up on automotive-grade SoCs (e.g., NVIDIA Orin, Qualcomm SA8295/SA8650, Renesas, TI).
• Comfortable working with hardware debuggers, flashing tools, serial consoles, and board support packages (BSPs).
• Familiarity with communication protocols like CAN, Ethernet, PCIe, SPI, I2C.
• Hands-on experience integrating embedded platforms into CI/CD pipelines and test automation frameworks.

Desirable 

• Exposure to automotive verification environments (e.g., HIL systems, Vector toolchains, custom CI rigs).
• Experience working in a safety-critical domain with an understanding of ISO 26262, boot-time determinism, and watchdogs.
• Understanding of secure boot, OTA updates, and system-level cybersecurity topics.
• Familiarity with Docker, Jenkins, Git, and artifact management tools like JFrog Artifactory.

This role is a full-time role based in Sunnyvale or Detroit (hybrid) and the reasonably estimated salary for this role ranges from $209,700 to $298,200 plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.

At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.  

The Role 

In this role, you will play a critical part in supporting our customers throughout the entire development lifecycle, from the initial integration phase to the final validation of our technology. You will ensure that customers receive responsive, high-quality technical support and work closely with both our clients and internal engineering teams to ensure seamless integration of our technology into their vehicles.

Located near our customers, you will be in a prime position to perform rapid diagnostics, identify issues in real time, and collaborate directly with customer engineering teams. This proximity allows you to maintain a holistic understanding of the system and effectively distinguish between vehicle-related issues and those specific to the Wayve AI Driver.

Key Responsibilities:

• Provide hands-on technical support to customers throughout the development and validation process
• Serve as the bridge between customer vehicle integration teams and Wayve’s internal engineering teams
• Troubleshoot and resolve technical issues related to our technology independently
• Escalate complex or critical issues to the appropriate internal stakeholders
• Develop deep understanding of customer systems and APIs (e.g. drive-by-wire) to effectively guide internal teams
• Maintain a system-level perspective to identify root causes, whether vehicle-based or software-related

About you 

In order to set you up for success as a Customer Integration Engineer at Wayve, we’re looking for the following skills and experience.  

• Strong problem-solving skills and analytical thinking
• Proven ability to lead investigations into platform or vehicle issues in collaboration with internal and customer teams
  Extensive hands-on experience with development vehicles
• Proficiency with diagnostic and calibration tools (e.g. CANape or similar)
• Familiarity with terminal usage and a willingness to develop basic programming skills
• Solid understanding of vehicle communication protocols (e.g. CAN, Ethernet) and automotive system architectures
• Practical experience working in an automotive environment, ideally with a track record of bringing products to production
• Excellent communication and interpersonal skills for effective collaboration with both customers and internal teams
• Willingness to travel as required
  
  

This role is a full-time role based in Sunnyvale or Detroit (hybrid) and the reasonably estimated salary for this role ranges from $137,300 to $187,000 plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.

At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.  

#LI-KM1

The Role 

In this role, you will play a critical part in supporting our customers throughout the entire development lifecycle, from the initial integration phase to the final validation of our technology. You will ensure that customers receive responsive, high-quality technical support and work closely with both our clients and internal engineering teams to ensure seamless integration of our technology into their vehicles.

Located near our customers, you will be in a prime position to perform rapid diagnostics, identify issues in real time, and collaborate directly with customer engineering teams. This proximity allows you to maintain a holistic understanding of the system and effectively distinguish between vehicle-related issues and those specific to the Wayve AI Driver.

Key Responsibilities:

• Provide hands-on technical support to customers throughout the development and validation process
• Serve as the bridge between customer vehicle integration teams and Wayve’s internal engineering teams
• Troubleshoot and resolve technical issues related to our technology independently
• Escalate complex or critical issues to the appropriate internal stakeholders
• Develop deep understanding of customer systems and APIs (e.g. drive-by-wire) to effectively guide internal teams
• Maintain a system-level perspective to identify root causes, whether vehicle-based or software-related

About you 

In order to set you up for success as a Customer Integration Engineer at Wayve, we’re looking for the following skills and experience.  

• Strong problem-solving skills and analytical thinking
• Proven ability to lead investigations into platform or vehicle issues in collaboration with internal and customer teams
  Extensive hands-on experience with development vehicles
• Proficiency with diagnostic and calibration tools (e.g. CANape or similar)
• Familiarity with terminal usage and a willingness to develop basic programming skills
• Solid understanding of vehicle communication protocols (e.g. CAN, Ethernet) and automotive system architectures
• Practical experience working in an automotive environment, ideally with a track record of bringing products to production
• Excellent communication and interpersonal skills for effective collaboration with both customers and internal teams
• Willingness to travel as required
  
  

This role is a full-time role based in Sunnyvale or Detroit (hybrid) and the reasonably estimated salary for this role ranges from $137,300 to $187,000 plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.

At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.  

#LI-KM1

The role 

We’re seeking an exceptional Principal Application SW Engineer to join our Japan-based within the Application Software team, focused on localising and advancing Wayve’s autonomous driving technology for the Japanese market. This is a unique opportunity to play a hands-on role in shaping our AV capabilities in Japan from the ground up.

In this role, you’ll be responsible for the bring-up and early validation of our AI software stack on customer hardware platforms, ensuring seamless performance across diverse SoCs and operating systems. You’ll collaborate closely with cross-functional teams across Verification, Release, and OEM partners to ensure smooth integration and reliable delivery.

Key responsibilities:

• Execute software bring-up on customer hardware platforms (e.g. NVIDIA Drive, Qualcomm Ride).
• Port and configure Linux-based systems, QNX, and Adaptive AUTOSAR environments.
• Integrate and validate drivers, middleware, and boot-time configurations.
• Collaborate with Verification & Release teams to integrate hardware into CI/CD, HIL, and test infrastructure.
• Work with OEM and Tier 1 teams to resolve hardware-specific integration issues.
• Implement system-level diagnostics, logging, and secure boot configuration.
• Develop automation for setup, flashing, health checks, and test execution on target hardware.

About you  

In order to set you up for success at Wayve, we’re looking for the following skills and experience.  

• 8+ years of experience in embedded or automotive software development, ideally with hands-on platform bring-up experience.
• Strong proficiency in C/C++, Bash, and Python.
  Deep understanding of Linux-based embedded systems (Yocto, systemd, bootloaders, device trees).
• Familiarity with QNX and Adaptive AUTOSAR environments and the ability to configure and debug them on target hardware.
  Experience with bring-up on automotive-grade SoCs (e.g., NVIDIA Orin, Qualcomm SA8295/SA8650, Renesas, TI).
• Comfortable working with hardware debuggers, flashing tools, serial consoles, and board support packages (BSPs).
• Familiarity with communication protocols like CAN, Ethernet, PCIe, SPI, I2C.
• Hands-on experience integrating embedded platforms into CI/CD pipelines and test automation frameworks.
• No Japanese language required. 

Desired 

• Exposure to automotive verification environments (e.g., HIL systems, Vector toolchains, custom CI rigs).
• Experience working in a safety-critical domain with an understanding of ISO 26262, boot-time determinism, and watchdogs.
• Understanding of secure boot, OTA updates, and system-level cybersecurity topics.
• Familiarity with Docker, Jenkins, Git, and artifact management tools like JFrog Artifactory.

This is a full-time role based in our office in Tokyo - we offer relocation package and visa sponsorship.

At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.   

We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.

For more information visit Careers at Wayve. 

To learn more about what drives us, visit Values at Wayve 

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

The role 

We’re seeking an exceptional Application SW Engineer to join our Japan-based within the Application Software team, focused on localising and advancing Wayve’s autonomous driving technology for the Japanese market. This is a unique opportunity to play a hands-on role in shaping our AV capabilities in Japan from the ground up.

In this role, you’ll be responsible for the bring-up and early validation of our AI software stack on customer hardware platforms, ensuring seamless performance across diverse SoCs and operating systems. You’ll collaborate closely with cross-functional teams across Verification, Release, and OEM partners to ensure smooth integration and reliable delivery.

Key responsibilities:

• Execute software bring-up on customer hardware platforms (e.g. NVIDIA Drive, Qualcomm Ride).
• Port and configure Linux-based systems, QNX, and Adaptive AUTOSAR environments.
• Integrate and validate drivers, middleware, and boot-time configurations.
• Collaborate with Verification & Release teams to integrate hardware into CI/CD, HIL, and test infrastructure.
• Work with OEM and Tier 1 teams to resolve hardware-specific integration issues.
• Implement system-level diagnostics, logging, and secure boot configuration.
• Develop automation for setup, flashing, health checks, and test execution on target hardware.

About you  

In order to set you up for success at Wayve, we’re looking for the following skills and experience.  

• 8+ years of experience in embedded or automotive software development, ideally with hands-on platform bring-up experience.
• Strong proficiency in C/C++, Bash, and Python.
  Deep understanding of Linux-based embedded systems (Yocto, systemd, bootloaders, device trees).
• Familiarity with QNX and Adaptive AUTOSAR environments and the ability to configure and debug them on target hardware.
  Experience with bring-up on automotive-grade SoCs (e.g., NVIDIA Orin, Qualcomm SA8295/SA8650, Renesas, TI).
• Comfortable working with hardware debuggers, flashing tools, serial consoles, and board support packages (BSPs).
• Familiarity with communication protocols like CAN, Ethernet, PCIe, SPI, I2C.
• Hands-on experience integrating embedded platforms into CI/CD pipelines and test automation frameworks.
• No Japanese language required. 

Desired 

• Exposure to automotive verification environments (e.g., HIL systems, Vector toolchains, custom CI rigs).
• Experience working in a safety-critical domain with an understanding of ISO 26262, boot-time determinism, and watchdogs.
• Understanding of secure boot, OTA updates, and system-level cybersecurity topics.
• Familiarity with Docker, Jenkins, Git, and artifact management tools like JFrog Artifactory.

This is a full-time role based in our office in Tokyo - we offer relocation package and visa sponsorship.

At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.   

We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.

For more information visit Careers at Wayve. 

To learn more about what drives us, visit Values at Wayve 

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

Who we are

Gatik, the leader in autonomous middle-mile logistics, is revolutionizing the B2B supply chain with its autonomous transportation-as-a-service (ATaaS) solution and prioritizing safe, consistent deliveries while streamlining freight movement by reducing congestion. The company focuses on short-haul, B2B logistics for Fortune 500 retailers and in 2021 launched the world’s first fully driverless commercial transportation service with Walmart. Gatik's Class 3-7 autonomous trucks are commercially deployed across major markets, including Texas, Arkansas, and Ontario, Canada, driving innovation in freight transportation. 

The company's proprietary Level 4 autonomous technology, Gatik Carrier™, is custom-built to transport freight safely and efficiently between pick-up and drop-off locations on the middle mile. With robust capabilities in both highway and urban environments, Gatik Carrier™ serves as an all-encompassing solution that integrates advanced software and hardware powering the fleet, facilitating effortless integration into customers' logistics operations. 

About the role

You’ll play a key role in bridging the gap between product design and scalable production. You will lead the manufacturing process for autonomy hardware integration into trucks, troubleshoot on-site build issues, and drive quality assurance initiatives to ensure high reliability and production efficiency. This is a hands-on, on-site role that requires close collaboration with cross-functional teams and external manufacturing partners.

What you'll do

The role 

We’re seeking an exceptional Software Integration Engineer to join us on a contract basis within the Application Software team in Detroit, focused on localising and advancing Wayve’s autonomous driving technology.

In this role, you’ll be responsible for the bring-up and validation of our AI software stack on customer hardware platforms, ensuring seamless performance across diverse SoCs and operating systems. You’ll collaborate closely with cross-functional teams across Verification, Release, and OEM partners to ensure smooth integration and reliable delivery.

Key responsibilities:

• Execute software bring-up on customer hardware platforms (e.g. NVIDIA Drive, Qualcomm Ride).
• Port and configure Linux-based systems, QNX, and Adaptive AUTOSAR environments.
• Integrate and validate drivers, middleware, and boot-time configurations.
• Collaborate with Verification & Release teams to integrate hardware into CI/CD, HIL, and test infrastructure.
• Work with OEM and Tier 1 teams to resolve hardware-specific integration issues.
• Implement system-level diagnostics, logging, and secure boot configuration.
• Develop automation for setup, flashing, health checks, and test execution on target hardware.

About you  

In order to set you up for success at Wayve, we’re looking for the following skills and experience.  

• 5+ years of experience in embedded or automotive software development, ideally with hands-on platform bring-up experience.
• Strong proficiency in C++, Bash, and Python. 
• Proven experience with using and modifying Middlewares like OpenDDS, comm protocols utilizing gRPC or similar
• Deep understanding of Linux-based embedded systems (Yocto, systemd, bootloaders, device trees).
• Familiarity with QNX and Adaptive AUTOSAR environments and the ability to configure and debug them on target hardware.
• Experience with bring-up on automotive-grade SoCs (e.g., NVIDIA Orin, Qualcomm SA8295/SA8650, Renesas, TI).
• Comfortable working with hardware debuggers, flashing tools, serial consoles, and board support packages (BSPs).
• Familiarity with communication protocols like CAN, Ethernet, PCIe, SPI, I2C.
• Hands-on experience integrating embedded platforms into CI/CD pipelines and test automation frameworks.

Desired 

• Exposure to automotive verification environments (e.g., HIL systems, Vector toolchains, custom CI rigs).
• Experience working in a safety-critical domain with an understanding of ISO 26262, boot-time determinism, and watchdogs.
• Understanding of secure boot, OTA updates, and system-level cybersecurity topics.
• Familiarity with Docker, Jenkins, Git, and artifact management tools like JFrog Artifactory.

This is a full-time contract role based in Detroit, Michigan, United States.  At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.   We operate core working hours so you can determine the schedule that works best for you and your team. 

Software Engineer – Inspire11  

Elevens, as we call ourselves here, are curiously smart, purposefully scrappy, and dedicated to the highest standard of quality. By being true to ourselves and others, we create a respectful environment that enhances collaboration, drives growth through high expectations, and ensures alignment with our core values. Inspire11 is more than a modern business and technology consulting firm; we're a revolution. We work differently — and it shows. Every move we make is tied to measurable value, and our success aligns with our clients’ success. We partner to simplify the complex, solve sustainably, and stay ahead by continuously pushing our own thinking forward. Value creation isn't something we talk about — it's something we live, every day. 

At Inspire11, we're not just offering a job; we're providing a platform for you to transform the future. You'll feel right at home here if you think differently, build boldly, and lead with impact. We're a place where your unique perspective is valued, your boldness is celebrated, and your potential is unleashed. 

• Growth Through Challenge:  We hold ourselves to the highest standards of excellence and accountability. At Inspire11, we are committed to delivering exceptional results and empowering our employees to take ownership of their work and drive meaningful impact. You'll work alongside elite consultants who challenge you to expand your skills and think even more creatively. 

• The Autonomy to Do Your Best Work: Here, outcomes matter more than outputs. It's about the value we create. You'll have the autonomy to shape your work, drive decisions, and make an impact—not just for our clients but for your growth. You'll be challenged to think strategically, anticipate needs, and solve problems. Bold thinking, creative approaches, and challenging conventional wisdom are part of our DNA. Our clients rely on us to lead them into what's next. 
• Diverse Perspectives Driving Innovative Solutions: We champion inclusivity and authenticity, knowing that diverse perspectives drive better solutions. You'll be encouraged to bring your whole self to work, knowing that's where true innovation happens. We also believe that doing great work should be fun. Our culture thrives on energy, camaraderie, and appreciating the unique contributions that make Inspire11 an amazing place. Our teams get energy from being the best they can be. 

What you can expect in this role: 

• Collaborate closely with clients to design and build custom technology solutions tailored to business needs.
• Develop responsive, declarative front-end user interfaces using ReactJS and modern JavaScript libraries, while also building complex back-end systems using Java (or Scala/Kotlin), C#, Node.js, or Python. 
• Design, develop, and support critical applications and system components from end to end.  
• Write and execute unit tests; troubleshoot and recommend solutions for complex technical issues.
• Contribute to ongoing enhancement of both new and existing applications across the full stack. 

Tools for success: 

• Contribute to ongoing enhancement of both new and existing applications across the full stack. 
• Proficient in full-stack development with expertise in either modern JavaScript & React, or backend-languages like Java, Kotlin, Python, etc., along with API design and documentation 
• Experienced with both relational and non-relational databases (e.g., MySQL, PostgreSQL, MongoDB), and database schema design.   
• Hands-on experience with cloud platforms (primarily AWS), containerization tools (e.g., Docker), and CI/CD pipelines (e.g., Jenkins, GitHub Actions).   
• Strong understanding of Agile methodologies (Scrum, Kanban) and version control using Git.   
• Passion to mentor other engineers, driving technical excellence, while contributing to a strong engineering culture.
• Actively explores and integrates AI/ML technologies into development workflows; stays up to date on the rapidly evolving AI landscape and market trends.   
• Committed to continuous learning and staying current with evolving technology trends, frameworks, and best practices.   
• Excellent communicator with the ability to thrive in fast-paced, dynamic environments and take initiative across varied responsibilities.    

This role requires the willingness and ability to be onsite at the Inspire11 or client location depending on project needs to maximize in-person collaboration and build stronger relationships. 

Inspire11 is unable to sponsor employment visas at this time. Applicants must be legally authorized to work in the U.S. at the time of application and throughout the duration of employment. 

Inspire11’s Privacy Policy: https://www.inspire11.com/privacy-policy/  

For more information regarding our compensation and benefit offerings please see below: 

U.S. Compensation & Benefits  

Compensation at Inspire11 
Inspire11 follows Title VII of the Civil Rights Act of 1964, the Equal Pay Act of 1963, the Illinois Human Rights Act, the Illinois Equal Wage Act, and the Illinois Equal Pay Act of 2003. We believe that people performing the same role at the same level, with similar levels of ability or experience, should be similarly compensated. We also believe that the most critical factors driving compensation should be an Eleven’s skill, experience, performance, responsibility, and effort. We may also consider an employee’s length of service, relevant education, training, or certification, and the requirements of a specific job. We may also consider whether the cost of living or competition for talent in specific markets requires adjustments in compensation for employees in those markets. Our goal is to fairly compensate all our Elevens based on these factors within the Company’s financial ability.   

Compensation may be increased or decreased at Inspire11’s discretion based on an employee’s performance reviews, market conditions, and the Company’s financial performance. Inspire11 will always notify an employee in writing before any change is made to their compensation.  

Bonuses 
We may allow employees in Sales, Recruiting, or Leadership to earn periodic bonuses based on sales, revenue, client-specific or practice-specific targets. These targets are communicated to each eligible employee via offer letter or annual update. All such target-based bonuses are calculated based on the Company and an individual’s periodic performance and will only be awarded if: (a) the employee is meeting performance expectations and is an employee in good standing of the Company; (b) the target is met; and (c) the Company’s current financial performance and market conditions permit the bonus to be paid out. All periodic bonuses are discretionary and are earned only when paid out.   

Each year, the Company will decide whether the Company’s financial performance, market performance, and business realities allow it to create an annual bonus pool. If the Company decides that annual bonuses may be awarded, then the Leadership Team will grant annual bonuses to employees in good standing based on the same factors discussed in the previous paragraph while also considering employees’ diligence, performance, expertise, skill, judgment, and experience. To be eligible to participate in this annual bonus pool, an employee must be hired by no later than October 1st of the preceding year. Annual bonuses and merit increases may be prorated based on hire date. Employees eligible for target-based periodic bonuses are not eligible to participate in the annual bonus pool.   

Options or Other Equity in Inspire11 
Inspire11 has a legacy program that allowed certain high-performing employees to purchase shares of the Company through an affiliate. The Company also has a newer program that grants options annually to high-performing employees based on their performance reviews, their managers’ recommendation, and leadership approval. These options have a vesting period associated with them.  

Benefits 
Full-time employees are eligible for the following contributory benefits, where premiums are partially paid by the Company and partially by the employee:   

• Medical insurance plans, 
• Dental insurance plans, and  
• Vision insurance plans.  

Full-time employees are eligible for the following benefits provided wholly by the Company:  

• Short-term disability, providing for a benefit of 60% of an employee’s salary up to a maximum of $2,000 per week for up to 11 weeks after a 7-day waiting period; 
• Long-term disability, providing for 60% of an employee’s salary up to a maximum of $10,000 per month for the time period from the 91st day after a qualifying event through the earlier of the end of the disability or age 67; 
• Life insurance, providing for a benefit of two times the employee’s annual salary, up to a maximum payout of $400,000;   
• A connectivity stipend of $325 annually; 
• Employee Assistance Program, providing for confidential counseling sessions, 24-hour crisis support, online peer support groups, skills training, behavioral health coaching, initial free legal consultations (and discounted rates on referred lawyers), online legal forms, assistance with eldercare and parenting services, among other things.  

Full-time employees are also eligible to participate in the Company’s 401(k) plan, which allows employees to contribute to a standard or Roth IRA. According to a vesting schedule, the Company matches 100% of employee contributions up to 3% of an employee’s salary.  

Depending on eligibility and their elections, full-time employees may also have access to certain tax-advantaged savings accounts set up through the Company, into which employees contribute withheld funds:   

• Flexible savings accounts
• Limited-purpose flexible savings accounts  
• Healthcare savings accounts
• Dependent care savings accounts  
• Commuter benefit accounts  

Paid Time Off and Leave 
Inspire11 grants all eligible employees any statutory leave required by federal, Illinois, or other applicable law, such as FMLA, bereavement, sick leave, emergency leave, jury duty or witness leave, and VESSA leave.   

In addition, Inspire11 has a self-managed paid time off policy (PTO) that does not set predetermined upper limits on the amount of PTO an employee may take. All PTO must be requested in advance and approved by the appropriate supervisor to ensure client work can continue. All full-time employees are expected to take a minimum of one week of PTO each year.   

Inspire11 offers paid parental leave to full-time employees who have been with the company for at least one year. Birthing parents are eligible for up to 12 weeks of paid parental leave, while non-birthing parents are eligible for up to 6 weeks. Short-term disability (STD) benefits are also provided following childbirth. When combined with PTO and STD, birthing parents may receive a total of 18–20 weeks of paid leave. Lastly, Inspire11 has eight paid holidays.  

Other Benefits 
Inspire11 also maintains other programs that provide additional benefits to employees, such as:   

• Impact to 11: a charitable giving matching program where, after being employed by Inspire11 for a year, employees may request that a qualifying charity receive up to $500 in matching donations each year. 
• Professional development benefits for qualifying employees: a program allowing for reimbursement of certain course materials and costs on a discretionary basis for employees who have been at Inspire11 for at least 6 months, with supervisor’s approval. 
• Regular gifts of Inspire11 clothes, office items, and swag.  

Disclaimer 
This document applies only to the United States and to Inspire11 LLC, not our worldwide partners.  

Inspire11 reserves the right to change the benefits offered to employees in accordance with applicable law based on business needs, market conditions, and financial stability. Before changing any benefits, Company will notify all employees of the change and will update this document.  

EEOC 
Inspire11 is an Equal Opportunity Workplace and an Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. If you need assistance or a reasonable accommodation during the application process, please contact us at hr@inspire11.com, or inform your recruiting partner.