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.

Position Overview

Woolpert is hiring a Site Civil Engineer to join our dynamic Energy Services Team. This position is responsible for supporting civil site projects, typically including grading and earthwork, site access, erosion control, stormwater management, and other documentation to support the client's permitting and construction efforts.  Priority will be given to candidates who are interested in civil site projects. 

We are unable to provide visa sponsorship for this position.  Applicants must already possess work authorization in the country the job is located.

What You Will Do:

• You will assist with plan production, perform and review design calculations, drive quality assurance, and support the internal and external project team on a variety of site/civil land development engineering projects.
• Project elements typically include grading and earthwork, site access, erosion control, stormwater management, and other documentation to support the client’s permitting and construction efforts.
• Work will vary from project to project, so our engineers are exposed to a number of different practices which allow them to not only become well rounded, but also to find a specialty they have interest in.
• This Team is expanding with additional expansion expected over the next few years. This allows for lots of potential for upward mobility once experience has been gained.

What You Will Bring:

• BS in Civil Engineering
• 6+ years of experience
• Registered Professional Engineer (P.E.)
• Experience in AutoCAD Civil 3D (strongly preferred) or MicroStation.  Exposure to Autodesk Vehicle Tracking, Bluebeam, HydroCAD, Microsoft Suite, and other relevant software products a plus.
• Ability and willingness to learn and work collaboratively in a team environment, across multiple teams and disciplines.

Benefits You Will Love

Certified as a Great Place to Work, Woolpert is one of the fastest-growing architecture, engineering, and geospatial companies in the world. With over 75 offices and countless projects around the globe, you’ll work on meaningful assignments that improve quality of life around the world. In addition to offering competitive pay, we provide employees with a robust set of unique benefits, including:

• Freedom to Work program: Set your own schedule and location (as appropriate).
• Principal program: Earn the opportunity to become an owner of the firm.
• Flexible paid time off/vacation: Take time off when it makes sense for you and your team.
• Career development: Explore a wide range of learning and growth opportunities within and across industries.
• Health, life, vision, and dental insurance: Cover all your medical bases.
• Paid sick time, retirement plan, fitness reimbursement, pet insurance, identity protection, technology stipend, employee assistance program, and more!

RES is looking for a Scientist II to join our team.

As a Scientist II at RES, you will support the implementation, monitoring, and success of ecological restoration projects across diverse ecosystems. This is a mid-level field and data-focused role that combines fieldwork, technical reporting, and cross-functional coordination to support permitting and compliance documentation. You will collect and manage data, contribute to project reporting, and bring applied knowledge of restoration science to project execution.

Watch the projects our scientists work on here.

Why You’ll Love This Job:

• You’ll get your boots dirty—literally. You’ll spend meaningful time in the field, collecting the data that drives real-world ecological restoration.
• You’ll see the impact of your work. Your efforts support the restoration of wetlands, streams, and habitats that improve ecosystems and communities across the region.
• You’ll learn from the best. With the support of senior scientists and cross-functional project teams, you’ll continue to grow your expertise in restoration science and applied ecology.

What your day-to-day might look like:

You’ll begin your day prepping field gear for a monitoring visit to a stream or wetland mitigation site. Once on-site, you may collect data using GPS, YSI meters, or turbidity sensors, following project-specific protocols and QA/QC standards. You’ll help guide junior team members, ensure field datasheets are accurate, and troubleshoot equipment as needed.

Back at the office, you’ll enter and analyze field data, draft sections of monitoring reports, and interpret site plans or planting palettes. You might meet with design or regulatory teammates to discuss crediting metrics, or help evaluate a site’s feasibility based on regulatory or ecological constraints. You’ll balance independent work with collaborative efforts to move restoration projects forward.

We would like to talk to you if you have many of the following:

• Bachelor’s degree in environmental science, biology, geology, or a related natural/physical science field
• 2+ years of experience in fieldwork, sampling, ecological monitoring, etc.
• Experience in collecting field data independently and following SOPs
• Experience in Wetland delineation and stream assessment
• Experience with vegetation surveys
• Comfortable evaluating site conditions and regulatory constraints
• Familiar with project task tracking and regulatory requirements
• Proficient in GPS/GIS tools
• Skilled in data analysis and technical report writing

What will make you stand out:

• Ability to apply ecological functional protocols
• Certifications (e.g., ArcGIS, drone pilot, YSI/turbidimeter experience) -

You Will Thrive in This Role If You:

• Are comfortable in the field and in the office—and enjoy a balance of both
• Can collect, organize, and interpret scientific data with care and accuracy
• Communicate effectively and take ownership of your tasks
• Can help guide junior field staff and contribute to team learning

About the Role:

The Labeling team delivers algorithms, tools and infrastructure to provide data labels that can be used by Perception, Motion Planning, and other ML teams for training and evaluation. They work closely with manual labeling efforts and infrastructure teams to create a data centric ecosystem needed to develop real time, safety critical ML models for autonomous driving. 

We are looking for a Labeling Analyst to review and ensure a high quality of labels delivered to our Autonomy teams. The job entails operating internal and third party tools to visualize labels and checking if they meet our quality and labeling standards. The Labeling Analyst will also collaborate across operational and technical teams to identify and correct issues and support other labeling related tasks as needed.

Responsibilities:

• Review labels using internal and third party tooling to identify defects, mis-labeled or unlabeled items.
• Perform high-precision mapping and spatial data annotation activities crucial for autonomous vehicle navigation, utilizing proprietary tooling.
• Update issue trackers based on defects found, summarize findings and write reports.
• Follow up with internal and third party partners to resolve quality issues.
• Participate in defining requirements for, testing, and creating user documentation for internal label editing and review tooling.
• Help with other tasks such as selecting suitable logs for labeling and generating analytics on the QA process.
• Partner with engineering teams to define requirements for, test, and create user documentation for new proprietary labeling and mapping tools.

Qualifications: 

• Computer literacy and operate web based tools.
• Ability to work with Google docs, spreadsheets, write summary reports and aggregate statistics using Google Sheets.
• Ability to take high level acceptance criteria guidance and follow it to execute on label review.
• Ability to work in a highly collaborative, team environment across a variety of functional domains, both operational and technical.

Role Objective 

The Sales Associate works to achieve store sales goals by setting the standard of the ALO experiences & Brand Mission. Creating an authentic, organic experience of excellence for every guest through genuine connection, product education and educating customers about our community and culture. This individual is an expert in all facets of product knowledge, including features, benefits, fabric, usage, design, and care. The Sales Associate thrives working on a team and relishes a culture of feedback and excellence. 

Key Job Responsibilities 

• Impacts the business and store environment in a positive manner aligning with store leadership and company goals.  

• Drive and exceed sales goals by leading ALO's initiatives, while optimizing productivity and efficiency 

• Ensure engagement with customers and provide a friendly and easy to shop environment 

• Continue to build the client relationship daily with our customers 

• In partnership with the leadership team, Analyze reports in order to strategize and deliver results; support achieving action plans focusing on deficient areas and highlight growth opportunities 

• Ensure effective sales floor coverage through the development of workforce solutions and leading selling initiatives throughout the store as needed. 

• Knowledge of store goals, company communication, initiatives, new product launches and any additional information required by the Store Leadership Team; educate on guest-facing initiatives on the floor 

• Confidently introduces all facets of the ALO business model (Retail, Yoga, Café) through personal testimony and knowledge of all aspects and details 

• Leverages company tools, incentives, and strategies to support meeting store goal 

• Resolve client needs quickly & effectively ensuring customer satisfaction 

• Educates guests and staff on our product, community and culture 

• Understand and protect the Daily schedule that prioritizes the best business strategy, in partnership with the Store Leadership 

• Assists in processing shipment and ensuring product flow including but not limited to visual merchandising placement and daily replenishment excellence 

• Ensure all front and back of house procedures are executed in accordance to the company Policy & Procedure 

• Support other areas of the business, including Sales and Cashier, as needed 

Sales Associate Qualifications 

• Preferred 1+ years prior work experience in a client-centric, sales environment 

• Passion for customer service and delivering exceptional experiences 

• High energy, upbeat and enthusiastic with the ability to integrate fun and work 

• Self-motivated with a desire to achieve results and excel individually, and as a team 

• Fosters genuine connection through empathy, compassion, integrity and building trusting relationships 

Sales Associate Schedule 

Part-Time non-exempt associates are expected to have open availability, 5 days a week, up to 32 hours. All employees without exception are expected to be able to work during the company’s Blackout period, from the week of American Thanksgiving (including Black Friday and Thanksgiving weekend) through the end of the holiday season (the 1st week of January). 

As an Equal Opportunity Employer, ALO does not discriminate against applicants or employees because of race, color, creed, religion, sex, national origin, veteran status, disability, age, citizenship, marital or domestic/civil partnership status, sexual orientation, gender identity or expression or because of any other status or condition protected by applicable federal, state, or local law. 

JUST SOME OF THE PERKS 

• Generous employee discount for Bella+Canvas, ALO, and free membership to ALO Wellness, with access to hundreds of streaming fitness and yoga classes with top instructors
• Competitive medical, dental and vision plan options, and enhanced additional benefits such as free virtual access to mental health providers and new parent support for employees and dependents (Full-Time Employees)
• 401K with company matching (Full-Time Employees)
• Monthly Store Incentives
• Clothing Allowance

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OVERVIEW

The Sales & Service Lead is integral to the elevating the guest experience at ALO.  They will ensure we deliver our targets for engagement, guest education and interaction, create a service-lead environment on the sales floor, and ultimately create a sanctuary that sets ALO apart from other retailers. 

RESPONSIBILITIES

Sales & Service Leader 

• Lead an exceptional guest experience on the floor through assessing the level of guest connection and technical product education and supporting team members to address gaps through feedback and coaching 
• Continue to build the client relationship daily with our customers 
• Analyze reports in order to strategize and deliver results; support implementing action plans focusing on deficient areas and highlight growth opportunities 
• Ensure effective sales floor coverage through the development of workforce solutions and leading selling initiatives throughout the store as needed. 

Business Leader  

• Partner with Operations & Visual Manager to manage reporting, budgets, expenses, inventory control, supplies, vendor relationships, technology, and facilities to ensure maintained and maximized 
• Demonstrate strong business acumen by leveraging metrics to support business-driving strategies 
• Move dynamically on the retail floor to assess and fulfill the needs of the business, team and guests 

People Leader 

• Leads by example and inspires staff in daily operations and guest experience. 
• Directly oversee the Sales & Service Associates and Cashiers; responsible for recruitment and development of talent 
• Use company performance tools to evaluate each operations associate and provide constant feedback to drive individual growth and improvement in partnership with the store leader 

Business Partner  

• Collaborate with Community & Studio, Operations and Visual Leads to ensure cross-functional training and to ensure the business is well-executed 
• Execute company-level operations-focused directives, projects and initiates, in partnership with the Sales & Service Manager (e.g. from the SCC) 

QUALIFICATIONS: 

• 2+ Years prior work experience in a client-centric, sales environment 
• Proven leadership capabilities demonstrating excellent decision making 
• Values feedback, receptive to receiving feedback and eager to provide 
• High energy, upbeat and enthusiastic with the ability to integrate fun and work 
• Self-motivated with a desire to achieve results and excel individually, and as a team 
• Excellent interpersonal and written communication skills 
• Aligns with and embodies ALO’s Guiding Principles 
• Job Level: Associate

The Sales & Service Lead is full-time and requires 32-40 hours per week fulfilling the job description as stated above. To build a balanced schedule that supports the needs of the business and our teams, we expect all full-time employees to have open availability and are expected to work variable shifts including peak days and weekends. All employees without exception are expected to be able to work during the company’s Blackout period, from the week of American Thanksgiving (including Black Friday and Thanksgiving weekend) through the end of the holiday season (the 1st week of January). 

JUST SOME OF THE PERKS 

• Generous employee discount for ALO, and free membership to ALO Wellness Club, with access to hundreds of streaming fitness and yoga classes with top instructors
• Competitive medical, dental and vision plan options, and enhanced additional benefits such as free virtual access to mental health providers and new parent support for employees and dependents (Full-Time Employees)
• 401K with company matching (Full-Time Employees)
• Monthly Store Incentives
• Clothing Allowance
• Free yoga classes at any of our Sanctuaries (select cities)

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OVERVIEW

The Operations Associate is critical in the store team and is responsible for driving profitability and efficiency. The Operations Associate will work closely with the Operations & Visual Management team in initiating, completing work, and providing feedback to the team to achieve optimal results supporting total store operations.  

Key Job Responsibilities 

• Execute inventory management processes effectively with a focus on maximizing inventory accuracy and reducing shrink
• Investigate and root cause inventory accuracy issues, partnering with the General/Store Manager to escalate process or system gaps
• Support execution of key operational functions including shipment, receiving and processing, reverse transfers, sales floor recovery, intra-day sales floor replenishment, floor set updates, and supply management
• Maintain and champion strong visual standards for the sales floor
• Work closely with reporting, budgets, expenses, inventory control, supplies, vendor relationships, technology, and facilities to ensure maintained and maximized
• Support a safe work environment and efficient operation through strong stockroom standards and processes
• Move dynamically on the retail floor to assess and fulfill the needs of the business, team and guests
• Execute company-level operations-focused directives, projects and initiates, in partnership with the Operations & Visual Management team.  
• Assists in processing shipment and ensuring product flow; including but not limited to visual merchandising placement and daily replenishment excellence
• Demonstrate strong business acumen by leveraging metrics to support business-driving strategies
• Resolve client needs quickly & effectively ensuring customer satisfaction
• Identify product concerns and communicate inventory needs to support the business goals
• Duties require constant movement in and around the store, including the sales floor and back of house. When not actively assisting guests, this position takes initiative to perform other tasks, as needed, to keep store clean, safe, inviting and operating efficiently. 

Operations Associate Qualifications 

• 1+ years prior work experience in a client-centric, sales & operational environment
• Requires constant movement in and around all areas of store
• Ability to lift, push, carry or otherwise move up to 50 pounds
• Ability to lift, bend, kneel, climb, crawl and/or twist, and safely climb up/down a ladder
• Ability to stand and move for an entire shift
• Passion for customer service and delivering exceptional experiences
• Self-motivated with a desire to achieve results and excel individually, and as a team
• Aligns with and embodies ALO's Guiding Principles  

 Operations Associate Schedule 

Part-Time non-exempt associates are expected to work up to 30 hours per week, based on the needs of the business, for a shift minimum of 4 hours. Full-Time non-exempt associates are expected to have open availability, 7 days a week, between 32 - 40 hours. All employees without exception are expected to be able to work during the company’s Blackout period, from the week of American Thanksgiving (including Black Friday and Thanksgiving weekend) through the end of the holiday season (the 1st week of January). 

As an Equal Opportunity Employer, ALO does not discriminate against applicants or employees because of race, color, creed, religion, sex, national origin, veteran status, disability, age, citizenship, marital or domestic/civil partnership status, sexual orientation, gender identity or expression or because of any other status or condition protected by applicable federal, state, or local law. 

JUST SOME OF THE PERKS 

• Generous employee discount for Bella+Canvas, ALO, and free membership to ALO Wellness Club, with access to hundreds of streaming fitness and yoga classes with top instructors
• Monthly Store Incentives
• Clothing Allowance
• Free yoga classes at any of our Sanctuaries

#LI-JJ1

#LI-2

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OVERVIEW

The Operations Lead is critical in the store leadership team and is responsible for driving and coaching to profitability and efficiency. The Operations Lead will work closely with the Operations & Visual Manager in initiating, delegating work, and providing feedback to the team to achieve optimal results supporting total store operations.   

Operations Leader 

• Lead & execute inventory management processes effectively with a focus on maximizing inventory accuracy and reducing shrink 
• Investigate and root cause inventory accuracy issues, partnering with the General Manager to escalate process or system gaps 
• Manage execution of key operational functions including shipment, receiving and processing, reverse transfers, sales floor recovery, intra-day sales floor replenishment, floor set updates, and supply management 
• Champion strong visual standards for the sales floor 
• Support a safe work environment and efficient operation through strong stockroom standards and processes 

Business Leader  

• Partner with Operations & Visual Manager to manage reporting, budgets, expenses, inventory control, supplies, vendor relationships, technology, and facilities to ensure maintained and maximized 
• Demonstrate strong business acumen by leveraging metrics to support business-driving strategies 
• Move dynamically on the retail floor to assess and fulfill the needs of the business, team and guests 

People Leader 

• Leads by example and inspires staff in daily operations and guest experience. 
• Directly oversee the Operations Associates; responsible for recruitment and development of talent 
• Use company performance tools to evaluate each operations associate and provide constant feedback to drive individual growth and improvement in partnership with the store leader 

Business Partner 

• Collaborate with Visual Lead to ensure cross-functional training, and Sales & Service Lead to ensure the business is well-executed 
• Execute company-level operations-focused directives, projects and initiates, in partnership with the Operations & Visual Manager (e.g. from the SCC) 

Operations Lead Qualifications: 

• 2+ Years prior work experience in a client-centric, sales environment 
• Proven leadership capabilities demonstrating excellent decision making 
• Values feedback, receptive to receiving feedback and eager to provide 
• High energy, upbeat and enthusiastic with the ability to integrate fun and work 
• Self-motivated with a desire to achieve results and excel individually, and as a team 
• Excellent interpersonal and written communication skills 
• Aligns with and embodies ALO’s guiding principles
• Job Level: Associate

The Lead role is full-time and requires 32 - 40 hours per week fulfilling the job description as stated above. To build a balanced schedule that supports the needs of the business and our teams, we expect all full-time employees to have open availability and are expected to work variable shifts including peak days and weekends. All employees without exception are expected to be able to work during the company’s Blackout period, from the week of American Thanksgiving (including Black Friday and Thanksgiving weekend) through the end of the holiday season (the 1st week of January). 

JUST SOME OF THE PERKS 

• Generous employee discount for Bella+Canvas, ALO, and free membership to ALO Wellness Club, with access to hundreds of streaming fitness and yoga classes with top instructors
• Competitive medical, dental and vision plan options, and enhanced additional benefits (Full-Time Employees)
• 401K with company matching (Full-Time Employees)
• Monthly Store Incentives
• Clothing Allowance
• Free yoga classes at any of our Sanctuaries

#LI-JJ1

#LI-3

#li-onsite

OVERVIEW

The Visual Lead is responsible for achieving store sales & maximizing profitability through Visual Merchandising in partnership with the Visual Manager. The Visual Lead will work closely with the Operations & Visual Manager in initiating, delegating work, and providing feedback to the team to achieve optimal results supporting total store operations.   

Visual Leader 

• Manage execution of key operational functions including shipment, receiving and processing, reverse transfers, sales floor recovery, intra-day sales floor replenishment, floor set updates, and supply management 
• Maintains strategic product presentation and merchandising by ensuring product recovery, restock, destock, and making visual merchandising change in accordance with directive and with partnership of the Visual Manager 
• Effectively plans Visual floor changes with the management team through payroll management and adapting the zone and visual support to the needs of the business. 
• Executes and maintains visual direction from planning through executing to meeting company expectations, budgets, timeline 
• Utilizes reporting tools in partnership with management to identify business opportunities with product placement, outfitting, and stock levels. Makes changes as necessary 

Business Leader  

• Partner with Operations & Visual Manager to manage reporting, budgets, expenses, inventory control, supplies, vendor relationships, technology, and facilities to ensure maintained and maximized 
• Demonstrate strong business acumen by leveraging metrics to support business-driving strategies 
• Move dynamically on the retail floor to assess and fulfill the needs of the business, team and guests 

People Leader 

• Leads by example and inspires staff in daily operations and guest experience 
• Partner with management to provide coaching, guidance and direction to Associates; responsible for recruitment and development of talent 
• Use company performance tools to evaluate each operations associate and provide constant feedback to drive individual growth and improvement in partnership with the store leader 

Business Partner  

• Collaborate with Operations Lead to ensure cross-functional training, and Sales & Service Lead to ensure the business is well-executed 
• Execute company-level operations-focused directives, projects and initiates, in partnership with the Operations & Visual Manager (e.g. from the SCC)
• Open and close the store in accordance to visual standards 

Visual Lead Qualifications: 

• 2+ Years prior work experience in a client-centric, sales environment 
• Proven leadership capabilities demonstrating excellent decision making 
• Values feedback, receptive to receiving feedback and eager to provide 
• High energy, upbeat and enthusiastic with the ability to integrate fun and work 
• Self-motivated with a desire to achieve results and excel individually, and as a team 
• Excellent interpersonal and written communication skills 
• Aligns with and embodies Alo’s guiding principles
• Job Level: Associate

The Visual Lead is full-time and requires 32-40 hours per week fulfilling the job description as stated above. To build a balanced schedule that supports the needs of the business and our teams, we expect all full-time employees to have open availability and are expected to work variable shifts including peak days and weekends. All employees without exception are expected to be able to work during the company’s Blackout period, from the week of American Thanksgiving (including Black Friday and Thanksgiving weekend) through the end of the holiday season (the 1st week of January). 

JUST SOME OF THE PERKS 

• Generous employee discount for Bella+Canvas, Alo Yoga, and free membership to Alo Moves, with access to hundreds of streaming fitness and yoga classes with top instructors
• Competitive medical, dental and vision plan options, and enhanced additional benefits such as free virtual access to mental health providers and new parent support for employees and dependents (Full-Time Employees)
• 401K with company matching (Full-Time Employees)
• Monthly Store Incentives
• Clothing Allowance
• Free yoga classes at any of our Sanctuaries 

#LI-JJ1

#LI-3

#li-onsite

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.

About the Role:

As a Labeling Infrastructure Backend Engineer, you will design, build, and scale the mission-critical systems that power our data flywheel. You will be responsible for the high-performance architecture that manages massive datasets, orchestrates complex human-in-the-loop workflows, and integrates seamlessly with our machine learning pipelines. Your work ensures that our labeling operations are fast, reliable, and capable of handling the next order of magnitude in data volume.

• Architect Scalable Systems: Design and maintain robust, distributed backend services capable of managing millions of labeling tasks and high-throughput data streams with minimal latency.
• Optimize Data Pipelines: Build and refine processes to ingest raw data from diverse sources and deliver high-quality labeled outputs to model training environments.
• ML Integration: Implement "Active Learning" and "Model-in-the-loop" features, enabling automated pre-labeling and intelligent task prioritization to maximize human efficiency.
• API Development: Develop and document clean, performant APIs that serve as the bridge between our front-end labeling tools, third-party vendors, and internal ML platforms.
• Infrastructure & DevOps: Manage cloud-native infrastructure to ensure 99.9+% availability, focusing on observability, automated scaling, and cost-efficiency.
• Cross-Functional Collaboration: Partner with AI team and Product Managers to translate complex data requirements into technical specifications and durable backend solutions.

Responsibilities:

• Play a key role in designing and building the next generation of Stack’s Labeling Infrastructure.
• Implement robust architecture to track the lifecycle of every log from unlabeled to production-ready.
• Build scalable backend services for automated QA to and AI-assisted labeling plugins.
• Write high quality Python and SQL.

Qualifications: 

• Proven track record of building scalable, reliable infrastructure in a fast-paced environment.
• Ability to collaborate effectively across teams.
• Strong development experience with Python and SQL.
• Prior experience with Trino, Flyte / Airflow, and Kubernetes are a plus.
• Prior experience with ML Ops workflows is a plus.
• Prior experience building and managing data platforms for multimodal ML needs is a plus.
• Prior experience with agentic workflows is a plus. 
• Prior experience in autonomous vehicles (AV) is a plus.

Position Overview: The Case Manager Lead plays a pivotal role in overseeing and managing a team of 5 case managers while effectively handling an inventory of approximately 50 HV cases. Reporting directly to the Pre-Suit Attorney, the Case Manager Lead serves as a strategic partner to Trial Attorneys, ensuring seamless coordination and optimal case management throughout the litigation process.

Key Responsibilities:

1. Team Management:
• Supervise and mentor a team of 5 case managers, providing guidance and support to ensure optimal performance.
• Conduct regular team meetings, performance evaluations, and training sessions to foster professional growth and development.
• Proactively and routinely manage and oversee key dashboards to ensure cases are moving forward and are handled appropriately.
2. Case Management:
• Oversee a high value inventory of approximately 50 cases, ensuring timely and accurate handling of each case from inception to litigation.
• Implement efficient case management strategies to streamline processes and maximize productivity.
• Monitor case timelines, deadlines, and milestones, taking proactive measures to address any potential issues or delays.
3. Communication and Collaboration:
• Serve as a liaison between the Case Management team and the Pre-Suit Attorney, providing regular updates on case statuses, developments, and challenges.
• Collaborate closely with a Trial Attorney to develop and execute effective case strategies before moving cases to a litigation team.
4. Quality Assurance:
• Maintain high standards of quality and compliance across all aspects of case management, ensuring adherence to relevant legal regulations and organizational policies.
• Conduct periodic audits and reviews of case files to identify areas for improvement and implement corrective actions as necessary.
5. Strategic Planning:
• Work closely with the Pre-Suit Attorney and other stakeholders to develop long-term strategic initiatives and goals for the Case Management team.
• Identify opportunities for process optimization, technology integration, and workflow enhancement to drive operational efficiency and effectiveness.

Qualifications:

• Bachelor’s degree (preferred)
• Prior experience as a Personal Injury Case Manager.
• 3-5 years in a leadership or supervisory role, preferred.
• At least 2 years of working in a legal position or insurance adjuster experience preferred.
• Excellent organizational skills, with the ability to manage multiple priorities and deadlines in a fast-paced environment.
• Demonstrated leadership abilities, including coaching, team-building, and conflict resolution skills.
• Exceptional communication and interpersonal skills, with the ability to build rapport and collaborate effectively with internal and external stakeholders.
• Excellent negotiating skills.
• Strong writing and communication skills along with attention to detail
• Extensive computer and database expertise, Microsoft Word, Excel, Outlook, and type no less than 35 wpm.

The Case Manager Lead plays a critical role in ensuring the efficient and effective management of cases while fostering a collaborative and supportive team environment. This position offers the opportunity to make a significant impact within the organization and contribute to the successful resolution of legal matters.

Performs other related duties as assigned to meet the needs of the business.

This role is on-site, which gives you the chance to be fully immersed in the work and gain direct experience alongside the team. We’ve found that being in the office helps new team members get up to speed quickly and feel more connected.

#LI-FW1

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.

Motional is a leading autonomous driving company on a mission to make driverless vehicles a safe, reliable, and accessible reality. Backed by Hyundai Motor Group, Motional is at the forefront of the physical AI revolution. Motional isn’t just building first-of-its-kind technology; we are transforming transportation to create safer streets and more sustainable mobility options.

The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for driving system design, for verifying and validating the autonomy stack, and for defining, measuring, and validating system performance targets. We work closely with stakeholders in autonomy, infrastructure, and operations to build the definitive safety case for the commercial launch of our fully driverless IONIQ 5 robotaxis in Las Vegas later this year.

Mission Summary:

The Autonomy Subsystems team at Motional is focused on designing and evaluating modules of the autonomy software. We are seeking a talented senior engineer to contribute to evaluation of our machine learning subsystems. Our team performs a variety of evaluations of machine learning models, including offline model eval, evaluation of open and closed-loop re-simulations, and assessment of on-road performance. Our goal is to establish metrics that describe autonomy subsystem performance, evaluate against those metrics to validate performance, and provide meaningful insight to ML developers and teams, working closely alongside them to improve the performance of ML models on the car.

We are looking for a highly-technical systems engineer with experience designing and evaluating safety critical systems and machine learning models. Bring your passion for autonomy, robotics, and machine learning to our team to help build a production-ready system and prepare for our scaled robotaxi service deployment.

Responsibilities:

• Define, prototype, and validate advanced metrics that bring new insights to model performance evaluation for autonomy subsystems (mainly focused on perception, prediction, and planning).
• Assess coverage of existing training and testing, then curate test sets that sufficiently capture Motional’s intended deployment operational design domain, across many axes (agent types, interaction types, map/spatial, etc.).
• Evaluate machine learning model performance against these metrics and tests.
• Assess system-level performance and subsystem contribution to system behavior through large-scale data analysis of on-road and simulation events.
• Define performance requirements for autonomy subsystems, and supporting analyses required to establish these targets.
• Coordinate subsystem-level evaluation with other system-level testing efforts across the systems team in support of the safety case and safety claims.
  
  

Qualifications:

• An engineer who has demonstrated strong cross-functional collaborative skills and is highly self-starting. This is a highly cooperative role across systems, autonomy, infrastructure, and other parts of the organization.
• Proven engineer with 5+ years of experience working on high-tech safety critical systems or robotics, ideally from a systems, robotics, or similar background.
• Master’s degree in relevant fields (systems, robotics, ML, CS, etc.) or Bachelor’s degree plus significant relevant in-field experience.
• Skilled Python developer, familiarity with analyzing the large scale data required to train and test ML models.
• Experience designing unique metrics that capture key aspects of system behavior and are used to enhance model development.
  
  

Bonus Skills:

• Experience training machine learning models, familiarity with state-of-the-art ML model architectures.
• Deep experience with a specific aspect of machine learning for autonomous robotics (perception, prediction, or planning).
• Knowledge of C++, especially applied to safety critical systems.
• Experience with systems verification and validation techniques
• Experience with regression testing updates to already-deployed software in a safety-critical environment.
• Experience with automotive standards (E.g: ISO 12207, ISO 26262, ISO 21448)
• Experience with software quality management and assurance activities (E.g: IATF 16949, ISO 9001)
• Thorough understanding of robotics systems including sensors, actuators, mechatronics and software systems
• Work in cross collaboration teams to address problems and find solutions
  
  

Physical Demands:

While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and move up to 50 pounds.

Travel Requirements (greater than 20%):
Expected to travel for 1-2 weeks each quarter visiting all of our testing sites - mostly to LV, but also domestically as needed for the business.

Working Environment

The work environment characteristics described here represent those a team member encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and/or airborne particlesThe noise level in the environment is low to moderate. 

Motional AD LLC is an Equal Employment Opportunity employer and we welcome all qualified applicants.  All applicants will receive impartial consideration without regard to race, sex, color, national origin, age, disability, veteran status, genetic data, religion, gender identity, sexual orientation or other legally protected status.  Motional AD LLC is a Drug-free workplace.

Motional is a leading autonomous driving company on a mission to make driverless vehicles a safe, reliable, and accessible reality. Backed by Hyundai Motor Group, Motional is at the forefront of the physical AI revolution. Motional isn’t just building first-of-its-kind technology; we are transforming transportation to create safer streets and more sustainable mobility options.

The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for driving system design, for verifying and validating the autonomy stack, and for defining, measuring, and validating system performance targets. We work closely with stakeholders in autonomy, infrastructure, and operations to build the definitive safety case for the commercial launch of our fully driverless IONIQ 5 robotaxis in Las Vegas later this year.

Mission Summary:

The Autonomy Subsystems team at Motional is focused on designing and evaluating modules of the autonomy software. We are seeking a talented senior engineer to contribute to evaluation of our machine learning subsystems. Our team performs a variety of evaluations of machine learning models, including offline model eval, evaluation of open and closed-loop re-simulations, and assessment of on-road performance. Our goal is to establish metrics that describe autonomy subsystem performance, evaluate against those metrics to validate performance, and provide meaningful insight to ML developers and teams, working closely alongside them to improve the performance of ML models on the car.

We are looking for a highly-technical systems engineer with experience designing and evaluating safety critical systems and machine learning models. Bring your passion for autonomy, robotics, and machine learning to our team to help build a production-ready system and prepare for our scaled robotaxi service deployment.

Responsibilities:

• Define, prototype, and validate advanced metrics that bring new insights to model performance evaluation for autonomy subsystems (mainly focused on perception, prediction, and planning).
• Assess coverage of existing training and testing, then curate test sets that sufficiently capture Motional’s intended deployment operational design domain, across many axes (agent types, interaction types, map/spatial, etc.).
• Evaluate machine learning model performance against these metrics and tests.
• Assess system-level performance and subsystem contribution to system behavior through large-scale data analysis of on-road and simulation events.
• Define performance requirements for autonomy subsystems, and supporting analyses required to establish these targets.
• Coordinate subsystem-level evaluation with other system-level testing efforts across the systems team in support of the safety case and safety claims.
  
  

Qualifications:

• An engineer who has demonstrated strong cross-functional collaborative skills and is highly self-starting. This is a highly cooperative role across systems, autonomy, infrastructure, and other parts of the organization.
• Proven engineer with 5+ years of experience working on high-tech safety critical systems or robotics, ideally from a systems, robotics, or similar background.
• Master’s degree in relevant fields (systems, robotics, ML, CS, etc.) or Bachelor’s degree plus significant relevant in-field experience.
• Skilled Python developer, familiarity with analyzing the large scale data required to train and test ML models.
• Experience designing unique metrics that capture key aspects of system behavior and are used to enhance model development.
  
  

Bonus Skills:

• Experience training machine learning models, familiarity with state-of-the-art ML model architectures.
• Deep experience with a specific aspect of machine learning for autonomous robotics (perception, prediction, or planning).
• Knowledge of C++, especially applied to safety critical systems.
• Experience with systems verification and validation techniques
• Experience with regression testing updates to already-deployed software in a safety-critical environment.
• Experience with automotive standards (E.g: ISO 12207, ISO 26262, ISO 21448)
• Experience with software quality management and assurance activities (E.g: IATF 16949, ISO 9001)
• Thorough understanding of robotics systems including sensors, actuators, mechatronics and software systems
• Work in cross collaboration teams to address problems and find solutions
  
  

Physical Demands:

While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and move up to 50 pounds.

Travel Requirements (greater than 20%):
Expected to travel for 1-2 weeks each quarter visiting all of our testing sites - mostly to LV, but also domestically as needed for the business.

Working Environment

The work environment characteristics described here represent those a team member encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and/or airborne particlesThe noise level in the environment is low to moderate. 

Motional AD LLC is an Equal Employment Opportunity employer and we welcome all qualified applicants.  All applicants will receive impartial consideration without regard to race, sex, color, national origin, age, disability, veteran status, genetic data, religion, gender identity, sexual orientation or other legally protected status.  Motional AD LLC is a Drug-free workplace.

Motional is a leading autonomous driving company on a mission to make driverless vehicles a safe, reliable, and accessible reality. Backed by Hyundai Motor Group, Motional is at the forefront of the physical AI revolution. Motional isn’t just building first-of-its-kind technology; we are transforming transportation to create safer streets and more sustainable mobility options.

The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for driving system design, for verifying and validating the autonomy stack, and for defining, measuring, and validating system performance targets. We work closely with stakeholders in autonomy, infrastructure, and operations to build the definitive safety case for the commercial launch of our fully driverless IONIQ 5 robotaxis in Las Vegas later this year.

Mission Summary:

The Autonomy Subsystems team at Motional is focused on designing and evaluating modules of the autonomy software. We are seeking a talented senior engineer to contribute to evaluation of our machine learning subsystems. Our team performs a variety of evaluations of machine learning models, including offline model eval, evaluation of open and closed-loop re-simulations, and assessment of on-road performance. Our goal is to establish metrics that describe autonomy subsystem performance, evaluate against those metrics to validate performance, and provide meaningful insight to ML developers and teams, working closely alongside them to improve the performance of ML models on the car.

We are looking for a highly-technical systems engineer with experience designing and evaluating safety critical systems and machine learning models. Bring your passion for autonomy, robotics, and machine learning to our team to help build a production-ready system and prepare for our scaled robotaxi service deployment.

Responsibilities:

• Define, prototype, and validate advanced metrics that bring new insights to model performance evaluation for autonomy subsystems (mainly focused on perception, prediction, and planning).
• Assess coverage of existing training and testing, then curate test sets that sufficiently capture Motional’s intended deployment operational design domain, across many axes (agent types, interaction types, map/spatial, etc.).
• Evaluate machine learning model performance against these metrics and tests.
• Assess system-level performance and subsystem contribution to system behavior through large-scale data analysis of on-road and simulation events.
• Define performance requirements for autonomy subsystems, and supporting analyses required to establish these targets.
• Coordinate subsystem-level evaluation with other system-level testing efforts across the systems team in support of the safety case and safety claims.
  
  

Qualifications:

• An engineer who has demonstrated strong cross-functional collaborative skills and is highly self-starting. This is a highly cooperative role across systems, autonomy, infrastructure, and other parts of the organization.
• Proven engineer with 5+ years of experience working on high-tech safety critical systems or robotics, ideally from a systems, robotics, or similar background.
• Master’s degree in relevant fields (systems, robotics, ML, CS, etc.) or Bachelor’s degree plus significant relevant in-field experience.
• Skilled Python developer, familiarity with analyzing the large scale data required to train and test ML models.
• Experience designing unique metrics that capture key aspects of system behavior and are used to enhance model development.
  
  

Bonus Skills:

• Experience training machine learning models, familiarity with state-of-the-art ML model architectures.
• Deep experience with a specific aspect of machine learning for autonomous robotics (perception, prediction, or planning).
• Knowledge of C++, especially applied to safety critical systems.
• Experience with systems verification and validation techniques
• Experience with regression testing updates to already-deployed software in a safety-critical environment.
• Experience with automotive standards (E.g: ISO 12207, ISO 26262, ISO 21448)
• Experience with software quality management and assurance activities (E.g: IATF 16949, ISO 9001)
• Thorough understanding of robotics systems including sensors, actuators, mechatronics and software systems
• Work in cross collaboration teams to address problems and find solutions
  
  

Physical Demands:

While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and move up to 50 pounds.

Travel Requirements (greater than 20%):
Expected to travel for 1-2 weeks each quarter visiting all of our testing sites - mostly to LV, but also domestically as needed for the business.

Working Environment

The work environment characteristics described here represent those a team member encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and/or airborne particlesThe noise level in the environment is low to moderate. 

Motional AD LLC is an Equal Employment Opportunity employer and we welcome all qualified applicants.  All applicants will receive impartial consideration without regard to race, sex, color, national origin, age, disability, veteran status, genetic data, religion, gender identity, sexual orientation or other legally protected status.  Motional AD LLC is a Drug-free workplace.

Motional is a leading autonomous driving company on a mission to make driverless vehicles a safe, reliable, and accessible reality. Backed by Hyundai Motor Group, Motional is at the forefront of the physical AI revolution. Motional isn’t just building first-of-its-kind technology; we are transforming transportation to create safer streets and more sustainable mobility options.

The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for driving system design, for verifying and validating the autonomy stack, and for defining, measuring, and validating system performance targets. We work closely with stakeholders in autonomy, infrastructure, and operations to build the definitive safety case for the commercial launch of our fully driverless IONIQ 5 robotaxis in Las Vegas later this year.

Mission Summary:

The Autonomy Subsystems team at Motional is focused on designing and evaluating modules of the autonomy software. We are seeking a talented senior engineer to contribute to evaluation of our machine learning subsystems. Our team performs a variety of evaluations of machine learning models, including offline model eval, evaluation of open and closed-loop re-simulations, and assessment of on-road performance. Our goal is to establish metrics that describe autonomy subsystem performance, evaluate against those metrics to validate performance, and provide meaningful insight to ML developers and teams, working closely alongside them to improve the performance of ML models on the car.

We are looking for a highly-technical systems engineer with experience designing and evaluating safety critical systems and machine learning models. Bring your passion for autonomy, robotics, and machine learning to our team to help build a production-ready system and prepare for our scaled robotaxi service deployment.

Responsibilities:

• Define, prototype, and validate advanced metrics that bring new insights to model performance evaluation for autonomy subsystems (mainly focused on perception, prediction, and planning).
• Assess coverage of existing training and testing, then curate test sets that sufficiently capture Motional’s intended deployment operational design domain, across many axes (agent types, interaction types, map/spatial, etc.).
• Evaluate machine learning model performance against these metrics and tests.
• Assess system-level performance and subsystem contribution to system behavior through large-scale data analysis of on-road and simulation events.
• Define performance requirements for autonomy subsystems, and supporting analyses required to establish these targets.
• Coordinate subsystem-level evaluation with other system-level testing efforts across the systems team in support of the safety case and safety claims.
  
  

Qualifications:

• An engineer who has demonstrated strong cross-functional collaborative skills and is highly self-starting. This is a highly cooperative role across systems, autonomy, infrastructure, and other parts of the organization.
• Proven engineer with 5+ years of experience working on high-tech safety critical systems or robotics, ideally from a systems, robotics, or similar background.
• Master’s degree in relevant fields (systems, robotics, ML, CS, etc.) or Bachelor’s degree plus significant relevant in-field experience.
• Skilled Python developer, familiarity with analyzing the large scale data required to train and test ML models.
• Experience designing unique metrics that capture key aspects of system behavior and are used to enhance model development.
  
  

Bonus Skills:

• Experience training machine learning models, familiarity with state-of-the-art ML model architectures.
• Deep experience with a specific aspect of machine learning for autonomous robotics (perception, prediction, or planning).
• Knowledge of C++, especially applied to safety critical systems.
• Experience with systems verification and validation techniques
• Experience with regression testing updates to already-deployed software in a safety-critical environment.
• Experience with automotive standards (E.g: ISO 12207, ISO 26262, ISO 21448)
• Experience with software quality management and assurance activities (E.g: IATF 16949, ISO 9001)
• Thorough understanding of robotics systems including sensors, actuators, mechatronics and software systems
• Work in cross collaboration teams to address problems and find solutions
  
  

Physical Demands:

While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and move up to 50 pounds.

Travel Requirements (greater than 20%):
Expected to travel for 1-2 weeks each quarter visiting all of our testing sites - mostly to LV, but also domestically as needed for the business.

Working Environment

The work environment characteristics described here represent those a team member encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and/or airborne particlesThe noise level in the environment is low to moderate. 

Motional AD LLC is an Equal Employment Opportunity employer and we welcome all qualified applicants.  All applicants will receive impartial consideration without regard to race, sex, color, national origin, age, disability, veteran status, genetic data, religion, gender identity, sexual orientation or other legally protected status.  Motional AD LLC is a Drug-free workplace.

Mission Summary:

Motional is seeking a Senior Full Stack Engineer expert for its Web Visualization Tooling team.  This role will directly contribute through the creation of critical web tooling and visualization that allows us to improve our feedback loops for machine learning (ML) engineers and improving the performance and adaptability of our autonomous vehicle (AV) system.

Role Responsibilities:

• Own and expand backend implementation and architecture of our visualization tooling suite (e.g., data mining quality assurance, operations and log ingestion, annotation pipelines, telemetry viewers).
• Collaborate closely with ML, frontend, UX, data services, data mining, and data annotation teams to align tooling with real-world workflows
• Support scalable, performance APIs and services for visual development, debugging, and annotation systems.
• Help mature internal standards, observability, and deployment processes for our backend stack
• Maintain and mature the team’s CI/CD infrastructure and process.

Qualifications (required):

• Desire to design and build user-facing visual applications, and a passion for good UX.
• Strong proficiency in backend development with NodeJS and Python.
• Solid understanding and practical experience with AWS CDK in TypeScript.
• Ability to own and expand backend implementation and architecture of visualization tooling suite.
• Proven ability to collaborate effectively with cross-functional teams in diverse and highly technical domains of expertise.
• Experience in supporting scalable, high-performance APIs and services for visual development, debugging, and annotation systems.
• Ability to help mature internal standards, observability, and deployment processes for backend stack.
• Experience in maintaining and maturing CI/CD infrastructure and processes.
• Ability to work autonomously and independently, and to drive development initiatives with little oversight. High aptitude for learning and organization skills.
• Great interpersonal skills and ability to mentor and (on occasion) delegate to other engineers at various levels of relative seniority.
• A well-established technical design and documentation habit

Preferred:

• Experience with full-stack and front-end development using NextJS and React.
• Demonstrated project management expertise / advanced hands-on understanding of project management agility and operational excellence.
• A love for the continuous delivery of value.

Nice to have:

• Knowledge of and experience with Golang
• UI/UX and product design experience.
• 3D Math and Linear Algebra fundamentals.
  
  

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

Mission Summary:

The Autonomous Vehicle (AV) Test Engineering team at Motional is responsible for validating the safety, functionality, and performance of our self-driving technology through rigorous, system-level testing. As a Senior AV Test Engineer, you will take a lead role in the strategy, planning, and execution of comprehensive test campaigns that span perception, planning, and control systems across virtual, closed-course, and public road environments.

In this role, you will guide test development efforts across multiple AV subsystems, mentor junior engineers, and drive improvements to our tooling, test infrastructure, and methodologies. You will lead cross-functional initiatives that directly impact release readiness and safety assurance, translating high-level engineering requirements into scalable test plans and measurable quality outcomes. Your work will contribute to iterative development, fault injection analysis, and validation of safety-critical systems that meet the highest standards for reliability and compliance.

Essential Duties:

Technical Leadership & Validation:

• Lead the planning, design, and execution of validation campaigns across simulation, SIL, HIL, and on-vehicle environments, with a focus on perception, planning, and control systems.
• Serve as the technical lead for scenario-based testing, utilizing platforms like Applied Intuition or equivalents for synthetic and re-simulation use cases.
• Lead AV capability campaigns, employing AB Dynamics equipment for system-level validation and performance benchmarking.
• Own the creation and execution of test plans for complex mechatronic and software systems, including drive-by-wire (DBW), braking, steering, and system integrations.

Test Infrastructure & Analysis:

• Develop and maintain robust test infrastructure using Python, Shell, and automation frameworks, ensuring modular, reusable, and scalable test architecture.
• Conduct detailed analysis of logs and system behavior, supporting root-cause investigations across AV software and hardware components.
  
  

Quality Assurance & Compliance:

• Participate in and lead QA review cycles, helping to define entry/exit criteria, regression coverage, and release readiness gates.
• Ensure traceability and compliance by documenting procedures, results, and outcomes using Jira, GitLab, and Confluence.
• Contribute to compliance with safety-critical standards such as ISO26262, ISO21448 (SOTIF), and ISO9001.
  
  

Collaboration & Mentorship:

• Represent the Test Engineering function in cross-functional planning meetings, collaborating closely with perception, planning, controls, and safety teams.
• Mentor and support junior Test Engineers, providing technical guidance and fostering a culture of continuous learning and improvement.
  
  

Strategic Adaptation & Support:

• Continuously adapt and optimize test strategies in response to evolving product requirements, architectural shifts, and real-world findings.
• Support after-hours testing or incident triage as needed by fleet or field operations.
• Travel domestically on occasion to support on-site testing or operational deployments.
• Perform additional duties as assigned.

Required Qualifications:

• Bachelor's degree or higher in Engineering, Robotics, ECE, Computer Science, or a related technical field.
• 5+ years of experience in software QA or system testing, including AV, ADAS, robotics, or safety-critical systems.
• Demonstrated expertise in test strategy, test case development, test execution, and automation for complex mechatronic or autonomous systems.
• Experience leading end-to-end testing across software stacks and physical systems, including SIL, HIL, and real-world deployments.
• Strong analytical skills with proficiency in debugging, log parsing, and root cause analysis.
• Excellent verbal and written communication skills, with the ability to drive cross-functional alignment and effectively report technical findings.
• Proven ability to lead technical efforts, mentor junior engineers, and operate with minimal oversight.
• High level of initiative, ownership, and accountability in a fast-paced, startup-style engineering environment.
• Flexible schedule and willingness to support late meetings, night shifts, or urgent test activities as required.

Preferred:

• Master’s degree in a relevant field.
• Deep familiarity with CAN-based tools (CANalyzer, CANoe) for fault injection, bus analysis, and subsystem verification.
• Working knowledge of industry standards for safety-critical systems such as ISO26262, ISO21448 (SOTIF), and ISO9001.
• Familiarity with AV safety case development or safety validation workflows.
• Experience with robotic middleware (e.g., ROS), cloud telemetry systems, or AV data pipelines.
• Experience in a cross-site or global engineering organization.
  
  

Physical Demands:

While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and move up to 50 pounds.

Working Environment:

The work environment characteristics described here represent those a team member encounters while performing the essential functions of this job.  Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the team member is regularly exposed to outside weather conditions, road conditions, and pedestrian traffic.  The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and airborne particles.  The noise level in the environment is low to moderate.

Motional AD LLC is an Equal Employment Opportunity employer, and we welcome all qualified applicants.  All applicants will receive impartial consideration regarding race, sex, color, national origin, age, disability, veteran status, genetic data, religion, gender identity, sexual orientation, or another legally protected status.  Motional AD LLC is a Drug-free workplace.

About Us

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

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

About the Team

You’ll work most closely with the systems engineers on the MHE Vision platform. You’ll collaborate with the MHEV team on integrated system testing and debugging, with the ML team on validating model outputs against ground truth data, and with Customer Support and Product Management on field-reported edge cases and quality priorities.

About the Role

We are looking for a Test Engineer to join our Pittsburgh team and strengthen the testing and validation layer for our MHE Vision platform. You will work hands-on with real data and real systems — analyzing large transaction datasets to extract ground truth, building and maintaining regression test infrastructure, and contributing to integrated system tests in our lab.

This is a high-impact early-career role with real ownership and visibility. Your analysis directly improves product quality for customers, and you’ll have the opportunity to grow into test automation, systems engineering, or QA leadership as the company scales.

What You’ll Do

• Manually analyze large transaction datasets (100+ records) to extract ground truth, identify anomalies, mismatches, and edge cases, and validate system outputs against expected behavior
• Build and maintain regression test infrastructure, integrating new edge cases sourced from field deployments into the existing test suite
• Participate in integrated system tests in the Pittsburgh lab alongside systems engineers, executing test procedures and documenting results
• Perform first-level root cause analysis (RCA) on test failures and route issues clearly to the appropriate engineering owners
• Develop structured processes for collecting and cataloging field edge cases into repeatable test cases
• Contribute to continuous improvement of the test and validation pipeline through clear documentation, reporting, and collaboration with engineering leads

What You’ll Need

• 1–3 years of experience in test engineering, QA, data analysis, or a related technical role (internship experience counts)
• Strong analytical and data review skills — comfortable working through large datasets methodically and accurately
• Python proficiency for data processing, test scripting, and automation tasks
• BS in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field
• Must be based in or willing to work on-site in Pittsburgh (lab access required)

Nice to Have

• Experience with log analysis, telemetry, or sensor data review
• Familiarity with CI/CD pipelines (GitHub Actions, Jenkins) or test pipeline integration
• Exposure to computer vision, image processing, or ML model output validation
• SQL or database querying experience for data extraction and validation