How to Apply to Motional

Key Takeaways

Tailor every application to the specific Motional sub-team — a Perception resume should look meaningfully different from a Motion Planning resume, with relevant projects and keywords foregrounded
Mirror Motional's exact job description terminology in your resume — terms like 'sensor fusion,' 'SLAM,' 'trajectory prediction,' 'ISO 26262,' and 'end-to-end learning' help you surface in Greenhouse keyword searches
For PhD intern roles, prepare a concise (5-minute) summary of your thesis or most relevant paper that explicitly connects your research to autonomous driving applications
Demonstrate production-system experience wherever possible — Motional deploys on public roads, so quantified results from real-world robotic systems carry far more weight than simulation-only research
Prepare for cross-functional interview questions — practice explaining your work to someone outside your specific sub-domain, emphasizing system-level implications and safety considerations
Apply early for internship roles — Motional's 2026 summer intern postings suggest a structured recruiting cycle, and positions in competitive areas like ML and Perception fill quickly
Research Motional's recent technical blog posts, CVPR/NeurIPS publications, and public demos to demonstrate informed enthusiasm about their specific technical approach during interviews

About Motional

Motional is a pioneering autonomous vehicle technology company formed as a joint venture between Hyundai Motor Group and Aptiv, two global leaders in automotive and mobility technology. Headquartered in Boston with key engineering hubs in Pittsburgh, Santa Monica, Las Vegas, and Singapore, Motional is building Level 4 autonomous driving technology — vehicles capable of operating without human intervention in defined conditions. The company traces its lineage through nuTonomy and Aptiv's autonomous driving division, giving it over two decades of cumulative AV expertise and one of the longest operational track records in the industry. Motional's culture is deeply rooted in technical rigor and safety-first engineering. Teams span perception, planning, prediction, localization, simulation, and systems safety — attracting world-class researchers and engineers from robotics, machine learning, and automotive backgrounds. The company operates one of the most advanced driverless ride-hail services in partnership with Uber in Las Vegas and has been expanding its commercial deployment footprint. What draws top talent to Motional is the rare intersection of cutting-edge research and real-world deployment. Engineers don't just publish papers — they ship code that moves real vehicles on public roads. The collaborative, mission-driven environment emphasizes cross-functional problem solving, and the backing of Hyundai and Aptiv provides both financial stability and a clear path to mass production. With approximately 116+ open openings spanning PhD research internships to principal engineering roles, Motional is actively scaling teams across its core autonomy stack, safety engineering, and developer platform infrastructure.

Application Process

1
Identify Your Target Role on Motional's Careers Page
Visit Motional's careers page, which is powered by Greenhouse, and filter by team (e.g., Perception, Planning, Safety), location, and role level. Pay close attention to whether roles specify PhD, MS/PhD, or Bachelor's-level requirements — Motional differentiates sharply between research-oriented and engineering-implementation roles. Many intern postings specify the exact research area (e.g., 'Foundations: Localization' or 'Behaviors'), so match your academic focus precisely.
2
Prepare a Tailored Resume and Supporting Materials
Motional's roles are highly specialized, so your resume must clearly communicate domain expertise in areas like computer vision, SLAM, motion planning, sensor fusion, or functional safety. For research and intern roles, include publications, thesis topics, and relevant coursework. For senior engineering roles, emphasize production-level autonomous systems experience, including specific sensor modalities (LiDAR, radar, camera) and frameworks (ROS, PyTorch, TensorFlow) you've used.
3
Submit Your Application Through Greenhouse
Complete the Greenhouse application form, uploading your resume in PDF or DOCX format. Greenhouse will parse your resume into structured fields — review the auto-populated data for accuracy before submitting. Some Motional postings may include custom screening questions about your research interests, visa status, or availability for specific office locations, so answer these thoughtfully rather than generically.
4
Recruiter Screen and Initial Evaluation
If your application advances, a Motional recruiter will typically reach out for a 20-30 minute phone screen. Expect questions about your background, motivation for autonomous vehicles specifically, and alignment with the team's focus area. For research-heavy roles, be prepared to briefly summarize your most relevant publication or project and explain how it connects to Motional's autonomy stack.
5
Technical Assessment or Coding Challenge
Depending on the role, Motional commonly uses a take-home coding challenge or live technical screen. For ML and perception roles, this may involve implementing an algorithm related to 3D object detection, point cloud processing, or trajectory prediction. For software engineering roles, expect systems design or algorithm questions in C++ or Python. Research intern candidates may be asked to present a deep dive on their thesis or a relevant paper.
6
On-Site or Virtual Interview Loop
The full interview loop at Motional typically involves 4-6 sessions over a half or full day, conducted virtually or on-site at the relevant office. You'll meet with engineers and researchers on the hiring team, a hiring manager, and potentially a cross-functional partner. Sessions cover technical depth (algorithm design, ML system architecture, robotics fundamentals), coding proficiency, and behavioral/culture-fit evaluation focused on collaboration and safety mindset.
7
Offer, Reference Checks, and Onboarding
Successful candidates receive an offer that typically includes competitive compensation, equity participation, and benefits reflecting Motional's joint-venture backing. Reference checks are standard for senior roles. Onboarding commonly includes orientation to Motional's autonomous vehicle platform, safety protocols, and access to internal simulation and testing infrastructure to ramp up quickly.

Resume Tips for Motional

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Lead with Autonomous Systems and Robotics Keywords

Motional's job descriptions are dense with domain-specific terminology — perception, prediction, planning, localization, sensor fusion, SLAM, motion planning, functional safety (ISO 26262), and SOTIF (ISO 21448). Mirror these exact terms in your resume where truthfully applicable. Greenhouse's parsing and recruiter keyword searches will flag candidates who use the same vocabulary the team uses internally. Generic terms like 'machine learning engineer' won't stand out without the AV-specific context.

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Quantify Impact on Real-World Robotic or AV Systems

Motional deploys vehicles on public roads, so they prioritize candidates who've moved beyond research prototypes. Quantify your contributions: 'Reduced false positive detection rate by 34% on a production LiDAR pipeline' carries far more weight than 'Improved perception system.' If you've worked on hardware-software integration, real-time systems, or safety-critical deployments, make these the headline achievements on your resume.

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Highlight Publications and Conference Presentations

For PhD intern and research roles — which make up a significant portion of Motional's openings — your publication record matters. List relevant papers from venues like CVPR, NeurIPS, ICRA, IROS, CoRL, or RSS prominently. Include citation counts if notable. If your work is directly applicable to autonomous driving (e.g., 3D object detection, trajectory forecasting, map learning), call out the connection explicitly rather than assuming the reader will infer it.

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Specify Programming Languages, Frameworks, and Sensor Experience

Motional's stack commonly involves C++, Python, PyTorch, and ROS/ROS2, with heavy use of cloud infrastructure. Create a dedicated technical skills section that lists specific languages, frameworks, and sensor modalities (LiDAR — e.g., Velodyne, Ouster; cameras; radar; IMU). This serves dual purposes: it helps Greenhouse's parsing engine categorize your skills and gives recruiters a quick-scan summary of your technical fit.

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Tailor Your Resume to the Specific Sub-Team

Motional's internship and full-time roles are organized by precise sub-teams — Behaviors, Foundations: Localization, Perception (End-to-end), Safety Management. Don't submit the same resume to a Perception role and a Motion Planning role. Reorder your bullet points and project descriptions to foreground the most relevant work. A perception-focused resume should lead with computer vision and neural network experience; a planning resume should emphasize optimization, graph search, and trajectory generation.

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Use Clean Formatting That Greenhouse Parses Reliably

Greenhouse handles standard resume formats well, but avoid multi-column layouts, embedded tables, headers/footers with critical information, or heavy graphical elements. Use a single-column layout with clear section headers (Education, Experience, Publications, Skills). Submit as PDF to preserve formatting, but ensure the text layer is selectable — scanned image PDFs will not parse correctly.

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Include Relevant Safety and Verification Experience

Motional has dedicated Safety Management System and Engineering Safety roles, reflecting the industry's maturity toward commercialization. If you have experience with functional safety standards (ISO 26262, ISO 21448/SOTIF), FMEA, fault tree analysis, or safety case development, include these prominently. Even for non-safety-specific roles, demonstrating awareness of safety-critical development practices signals alignment with Motional's core values.

ATS System: Greenhouse

Greenhouse is a structured hiring platform that Motional uses to manage its entire recruitment pipeline. It parses uploaded resumes into structured candidate profiles, scores applications against role-specific criteria configured by hiring teams, and enables recruiters to search candidate pools using keyword filters and custom scorecards.

Submit your resume as a single-column PDF with selectable text — Greenhouse parses this format most reliably and preserves your intended layout
Include exact keywords from the Motional job description, particularly technical terms like 'LiDAR,' 'sensor fusion,' 'motion planning,' 'C++,' and 'PyTorch' that recruiters will search against
Fill out all custom screening questions completely — Greenhouse allows hiring teams to filter candidates based on these responses, and incomplete answers may auto-disqualify your application
Avoid placing critical information (name, contact details) in headers or footers, as Greenhouse's parser may skip these regions
Don't use acronyms without spelling them out at least once — write 'Simultaneous Localization and Mapping (SLAM)' so both the full term and acronym are indexed
If applying to multiple Motional roles, submit separate applications with tailored resumes — Greenhouse tracks each application independently and hiring managers see role-specific submissions
Keep your resume to 1-2 pages for engineering roles or 2-3 pages for senior research roles with publications — Greenhouse displays the full document but recruiters commonly spend under 30 seconds on initial review

Complete Greenhouse Resume Guide →

Interview Culture

Motional's interview process reflects its identity as a research-driven engineering organization solving one of the hardest problems in robotics.

Expect a rigorous, multi-round process designed to evaluate both deep technical expertise and your ability to operate in a safety-critical, cross-functional environment. The typical interview loop for engineering and research roles consists of 4-6 sessions conducted over a virtual or on-site interview day. For PhD intern roles, the process is commonly shorter — often a recruiter screen, a technical deep-dive on your research, and a team-fit conversation. Full-time engineering roles typically include at least one live coding session (often in C++ or Python), one system design or architecture discussion, and one or two domain-specific technical interviews tailored to the team. Perception candidates might work through a 3D detection or neural network design problem; planning candidates might tackle a trajectory optimization or constraint satisfaction scenario. You'll meet with engineers and researchers on the hiring team, the hiring manager, and potentially a director or cross-functional partner from an adjacent team. This cross-team exposure is intentional — Motional's autonomy stack requires tight integration between perception, prediction, planning, and safety, so they assess whether you can communicate effectively across disciplinary boundaries. Culture-fit signals at Motional center on a few key themes: intellectual humility (can you acknowledge what you don't know?), safety consciousness (do you instinctively think about failure modes and edge cases?), and collaborative ownership (do you take initiative while also welcoming input?). Interviewers commonly explore how you've handled disagreements on technical direction, how you prioritize when requirements conflict, and how you approach testing and validation. Prepare to discuss not just what you built, but why you made specific design choices, what tradeoffs you considered, and how your work performed in real-world conditions. Motional values engineers who think beyond accuracy metrics to consider system-level reliability, latency, and safety implications.

What Motional Looks For

Deep domain expertise in at least one core AV area — perception, prediction, planning, localization, mapping, simulation, or functional safety — with demonstrated application to real-world systems
Strong fundamentals in mathematics, optimization, and probabilistic reasoning, which underpin nearly every module of the autonomous driving stack
Production-quality software engineering skills in C++ and/or Python, including code that must run reliably in real-time, safety-critical contexts
A safety-first mindset — the instinct to consider failure modes, edge cases, and system-level risks, not just nominal performance metrics
Publication record or demonstrated research capability for PhD and research roles, ideally at top venues in robotics, computer vision, or machine learning
Cross-functional communication skills — the ability to explain complex technical work to engineers from adjacent teams and to integrate your module within a larger system
Intellectual curiosity and resilience — autonomous driving surfaces novel, unsolved problems daily, and Motional seeks people who are energized rather than frustrated by ambiguity
Alignment with Motional's mission to make driverless vehicles a safe, accessible reality — genuine motivation beyond just working on interesting technical problems

Frequently Asked Questions

How long does the Motional hiring process typically take from application to offer?

Based on common patterns at AV companies of Motional's size, the full process from application submission to offer typically takes 4-8 weeks for full-time roles and 3-6 weeks for internships. The timeline depends on the seniority level, the specific team's interview cadence, and how quickly you can schedule the full loop. Recruiter screens often happen within 1-2 weeks of application if you're selected, with the technical loop scheduled 1-3 weeks after that. For PhD intern roles, the cycle may align with academic recruiting timelines, so applying early in the posted window is advantageous.

Does Motional require a cover letter with applications?

Motional's Greenhouse application typically does not require a cover letter for most engineering and research roles, though some postings may include an optional field for one. If the option exists, a brief, targeted cover letter can differentiate you — especially if your resume doesn't obviously convey why you're drawn to autonomous vehicles specifically or to Motional's approach. Keep it to 200-300 words focusing on which team you're targeting, what relevant work you've done, and why Motional's mission resonates with you. Skip generic cover letter templates entirely; Motional reviewers will see through them immediately.

What format should I use for my resume when applying through Greenhouse?

Submit a single-column PDF with selectable text for the most reliable Greenhouse parsing experience. Avoid multi-column layouts, infographics, tables, or images embedded over text — these can cause Greenhouse to misparse or skip sections of your resume. Ensure your name, email, and phone number appear in the main body text rather than in a header or footer. For research roles with publications, a 2-page resume is perfectly acceptable; for most engineering roles, aim for 1-2 pages. Always review the auto-populated fields in Greenhouse after upload to correct any parsing errors before final submission.

What programming languages and technical skills does Motional prioritize?

C++ and Python are the two dominant languages across Motional's engineering roles, with C++ being especially critical for real-time perception and planning modules that run on-vehicle. PyTorch is the most commonly referenced ML framework in their job descriptions, though TensorFlow experience is also valued. Familiarity with ROS/ROS2, Linux development environments, and cloud infrastructure (AWS or GCP) appears frequently. For perception roles, experience with LiDAR point cloud processing, camera-based computer vision, and sensor calibration is highly valued. For planning roles, knowledge of optimization libraries, constraint solvers, and graph-based search algorithms stands out.

Can I apply to multiple Motional roles at the same time?

Yes, Greenhouse supports multiple simultaneous applications, and Motional's diverse role portfolio — spanning Perception, Planning, Behaviors, Localization, Safety, and Developer Platform — means your skills might genuinely fit more than one team. However, apply strategically: submit tailored resumes for each role rather than the same generic document. Recruiters can see all your applications in the system, and submitting to more than 3-4 roles may signal a lack of focus. Prioritize the 1-2 roles that best match your core expertise and include a third only if you have clear, demonstrable qualifications.

Does Motional hire remote workers, or are roles primarily on-site?

Motional has historically maintained engineering offices in Boston, Pittsburgh, Santa Monica, Las Vegas, and Singapore, with most technical roles tied to specific locations — particularly those involving hardware, vehicle testing, or lab work. Some software and research roles may offer hybrid or remote flexibility, but this varies by team and is typically specified in the job posting. Check each listing's location field carefully in Greenhouse. For internship roles, on-site presence at the designated office is commonly expected, as the hands-on, collaborative nature of AV development benefits significantly from in-person mentorship.

What level of experience do I need for Motional's engineering roles versus internships?

Motional's role taxonomy is clearly delineated. Summer internships are explicitly segmented by degree level — many require PhD candidacy or MS/PhD enrollment and specify research focus areas like Localization, Perception, or Behaviors. Full-time engineering roles range from mid-level ('Engineer') to senior ('Senior Engineer,' 'Senior Engineering Safety Manager') and principal level ('Principal Engineer Motion Planning'), each with progressively higher expectations for autonomous systems experience, technical leadership, and architectural ownership. If you're an early-career engineer without direct AV experience, look for roles that emphasize strong fundamentals in robotics, ML, or systems engineering, and demonstrate transferable skills from adjacent domains like aerospace, industrial robotics, or ADAS.

How should I prepare for Motional's technical interviews?

Preparation should be domain-specific rather than generic. For perception roles, review 3D object detection architectures (PointPillars, CenterPoint), camera-LiDAR fusion approaches, and real-time inference optimization. For planning roles, study trajectory optimization, MPC, lattice planning, and behavior-aware prediction integration. For all roles, be fluent in data structures and algorithms in your primary language (C++ or Python). Practice explaining complex systems clearly — Motional interviews commonly include 'walk me through your architecture' questions where communication matters as much as correctness. Review Motional's published research papers and technical blog posts to understand their specific approaches, and be prepared to discuss how your work relates to or extends their methods.

What makes a strong Motional internship application for PhD candidates?

Motional's PhD internships are essentially embedded research positions, so your application strength depends primarily on research relevance. A strong application features a publication record in the specific sub-area (e.g., a CVPR paper on 3D detection for a Perception intern role), a clear thesis topic that connects to the team's work, and demonstrated ability to implement research ideas in code. Your resume should prominently feature your advisor's name, lab affiliation, and key publications with venue names. In your application or screening call, articulate a specific research question you'd want to explore at Motional and explain why their platform — real sensor data, full-stack integration, safety constraints — would advance your work in ways that simulation alone cannot.

Sample Open Positions

Check Your Resume Before Applying → View 116 open positions at Motional

Sources

Motional Careers Page — Motional
Motional Company Overview and Mission — Motional
Greenhouse Help Center – Submitting Applications — Greenhouse Software
Motional Glassdoor Reviews and Interview Insights — Glassdoor
Motional Research and Technical Publications — Motional