Automotive Engineer Jobs in Singapore.
All active Automotive Engineer roles based in Singapore.
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About us
Note: We are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals.
The Role
Your role, first and foremost, is to help our customers solve their most important problems. As a Software Engineer, this takes the form of building and deploying applications that utilize the power of our physics AI models to enable our customers to build better, faster, and cheaper.
Who We're Looking For
What a day might look like
Ready to apply?
Apply to PhysicsX
About us
Who We're Looking For
As a Machine Learning Engineer in Delivery, you are an experienced problem solver and technical leader who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple industries, lead technical initiatives, and excel at working directly with customers (and often side-by-side with them on-site) to embed cutting-edge AI models into tools that are useful and used.
You’ve shipped ML systems end-to-end and at scale: you design, build and test reliable, scalable ML data pipelines; you know how to explore and manipulate 3D point-cloud and mesh data to enable geometry-aware modelling; you select the right libraries, frameworks and tools and make pragmatic product decisions that set Delivery up for success. Working at the intersection of data science and software engineering, you translate R&D and project outputs into reusable libraries, tooling and products.
With at least 3 years industry experience (post Masters or PhD) in a commercial, non-research environment, you're ready to not only execute but also lead and mentor others. You're truly excited about taking ownership of complex work streams and guiding teams to success, while continuously improving the systems and solutions you work on to ensure they are practical, impactful and meet the evolving needs of our customers.
This Role
As a machine learning engineer, you'll work closely with our Data Scientists, Simulation Engineers, and customers to understand and define the engineering and physics challenges we are solving. You will iterate with customers and use your influence to drive decisions around reliable deployment with measurable outcomes.
You'll:
- Own the deployment of ML models and engineering surrogates (e.g., deep learning on CAE/CFD/FEA data, time‑series forecasting, anomaly detection, optimization & control) to customer production environments.
- Communicate results and trade‑offs to senior stakeholders; steer roadmaps and influence product direction with evidence.
- Lead scoping and architecture design for data/ML systems; define success metrics, delivery plans and quality bars.
- Excel at building robust and scalable ML systems, training and inference pipelines and APIs, running both on cloud and on-prem environments. The tech stack you will use for this includes: Python, PyTorch, Pandas, fastAPI, Scipy, Kubeflow, among others.
- Mentor and develop engineers and data scientists; provide technical direction and clear, calm decision‑making under pressure.
- Travel to customer sites in North America, Europe, Asia, Oceania, for an average of 3-4 weeks per quarter, where you'll collaborate closely with customers to build solutions on-site.
- Own the scoping of new projects and work-streams with existing customers and taking part in bringing new customers to PhysicsX.
As an early member of the team, you’ll significantly influence our technical direction and will be involved in shaping future solutions and products, while developing your skills as a technical leader.
Our delivery teams drive innovation to turn AI models into practical solutions - read our blog to learn more about how you’ll contribute to this exciting journey!
Ready to apply?
Apply to PhysicsX
About us
Who We’re Looking For
As a Senior CFD Engineer (Delivery), you are a problem solver and a builder, who is passionate about creating practical solutions that enable customers to make better engineering decisions. You are someone who can grasp and apply advanced engineering concepts across multiple industries, and you excel at working directly with customers (often directly on-site) to build CAE models that are integrated into AI-tools that are both useful and used.
You bring deep expertise in fluid mechanics, heat transfer, and multiphase modelling, with a solid ability to apply fundamental knowledge to real-world phenomena across a wide range of engineering applications. Highly proficient in at least one of Star-CCM+, OpenFOAM, or Fluent and adept at automating these tools to create scalable optimisation workflows that drive impactful results. Experience in parametric CAD modelling (NX or CATIA) and coding in Python/Java, (or the ability to quickly learn programming languages), is an advantage.
With 3-5 years of industry experience (post Masters or PhD) in a commercial, non-research environment, you’re ready to hit the ground running. You’re confident setting up CFD simulations independently, interpreting complex results with depth, and making informed decisions based on solid engineering judgement.
This Role
In this role, you’ll work closely with our Data Scientists, Machine Learning Engineers, and customers to understand and define the engineering challenges we are solving.
You’ll play a crucial role in delivering high-fidelity simulations by:
- Independently building complex multi-physics models from geometry clean-up and meshing, to simulating and post-processing complex real-world phenomena, integrating experimental data for model validation.
- Building robust parametric CAD models (NX or CATIA) coupled with simulation pipeline automation, for executing advanced design optimization and DoE studies.
- Partner with customers to address their most complex engineering challenges through advanced CAE & AI solutions; present results clearly, recommend actionable next steps, and balance accuracy with efficiency under tight deadlines.
- Working at the intersection of CAE and Data Science to generate high-quality simulation datasets for training Machine/Deep Learning models. Leveraging data sampling techniques to efficiently capture the design space, reduce computational cost, and enhance model accuracy.
- Accelerate high-fidelity modelling by using Flux (our cloud platform) and on-premise HPC resources, going beyond smart meshing and model setup to achieve real performance gains.
- Continuously improving engineering best practices, adapting CFD model setups and outputs to support the development of Deep Learning surrogates.
- Combining project leadership with a strong commitment to mentoring junior colleagues, contributing to a culture of collaboration, growth, and shared success.
- Traveling globally (North America, Europe, Asia, Oceania) up to 2–3 weeks per quarter to work side-by-side with customers in building solutions on-site.
As the role evolves, there are exciting opportunities for growth as an Individual Contributor (IC) or a Team Lead (TL), especially if you’re driven to take ownership of more complex projects and lead the direction of future solutions.
Ready to apply?
Apply to PhysicsX
About us
Who We’re Looking For
As a Senior FEA Engineer (Delivery), you are a problem solver and a builder, who is passionate about creating practical solutions that enable customers to make better engineering decisions. You are someone who can grasp and apply advanced engineering concepts across multiple industries, and you excel at working directly with customers (often directly on-site) to build CAE models that are integrated into AI-tools that are both useful and used.
You bring deep expertise in structural mechanics, materials science, and multi-physics modelling, with a solid ability to apply fundamental knowledge to real-world phenomena across a wide range of engineering applications. Highly proficient in at least one of NASTRAN, ABAQUS or ANSYS Mechanical, adept at automating these tools to create scalable optimisation workflows that drive impactful results. Experience with open source FEA packages such as CalculiX or FEniCS would be highly advantageous. Proficiency in parametric CAD modelling (NX or CATIA) and coding in Python, (or the ability to quickly learn programming languages), is an advantage. Experience with explicit dynamics (LS-DYNA, Abaqus/Explicit) such as crash simulation is highly valued. Background in coupled simulations such as thermo-mechanical analysis and fluid-structure interaction modelling also is highly desirable.
With 3-5 years of industry experience (post Masters or PhD) in a commercial, non-research environment, you’re ready to hit the ground running. You’re confident setting up FEA simulations independently, interpreting complex results with depth, and making informed decisions based on solid engineering judgement.
This Role
In this role, you’ll work closely with our Data Scientists, Machine Learning Engineers, and customers to understand and define the engineering challenges we are solving.
You’ll play a crucial role in delivering high-fidelity simulations by:
- Independently building complex structural and multi-physics models from geometry clean-up and meshing, to simulating and post-processing complex real-world phenomena, integrating experimental data for model validation.
- Building robust parametric CAD models (NX or CATIA) coupled with simulation pipeline automation through scripting, for executing advanced design optimization and DoE studies.
- Partner with customers to address their most complex engineering challenges through advanced FEA & AI solutions; communicate results clearly, recommend actionable next steps, and balance accuracy with efficiency under tight deadlines.
- Working at the intersection of CAE and Data Science to generate high-quality simulation datasets for training Machine/Deep Learning models. Leveraging data sampling techniques to efficiently capture the design space, reduce computational cost, and enhance model accuracy.
- Accelerate high-fidelity modelling by using Flux (our cloud platform) and on-premise HPC resources, going beyond smart meshing and model setup to achieve real performance gains.
- Continuously improving engineering best practices, adapting FEA model setups and outputs to support the development of Deep Learning surrogates.
- Documenting workflows and results comprehensively via technical reports and process documentation that enable knowledge transfer and support reproducible engineering methodologies
- Combining project leadership with a strong commitment to mentoring junior colleagues, contributing to a culture of collaboration, growth, and shared success.
- Traveling globally (North America, Europe, Asia, Oceania) up to 2–3 weeks per quarter to work side-by-side with customers in building solutions on-site.
As the role evolves, there are exciting opportunities for growth as an Individual Contributor (IC) or a Team Lead (TL), especially if you’re driven to take ownership of more complex projects and lead the direction of future solutions.
Ready to apply?
Apply to PhysicsX
About us
The Role
Your role, first and foremost, is to help our customers solve their most important problems. As a Senior Forward Deployed Software Engineer, this takes the form of building and deploying applications that utilize the power of our physics AI models to enable our customers to build better, faster, and cheaper.
Who We're Looking For
What a day might look like
Ready to apply?
Apply to PhysicsX
About us
Who We're Looking For
As a Principal Machine Learning Engineer in Delivery, you are an experienced problem solver and technical leader who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple industries, lead technical initiatives, and excel at working directly with customers (and often side-by-side with them on-site) to embed cutting-edge AI models into tools that are useful and used.
You’ve shipped ML systems end-to-end and at scale: you design, build and test reliable, scalable ML data pipelines; you know how to explore and manipulate 3D point-cloud and mesh data to enable geometry-aware modelling; you select the right libraries, frameworks and tools and make pragmatic product decisions that set Delivery up for success. Working at the intersection of data science and software engineering, you translate R&D and project outputs into reusable libraries, tooling and products.
With at least 3 years industry experience (post Masters or PhD) in a commercial, non-research environment, you're ready to not only execute but also lead and mentor others. You're truly excited about taking ownership of complex work streams and guiding teams to success, while continuously improving the systems and solutions you work on to ensure they are practical, impactful and meet the evolving needs of our customers.
This Role
As a Principal MLE, you'll work closely with our Data Scientists, Simulation Engineers, and customers to understand and define the engineering and physics challenges we are solving. You will iterate with customers and use your influence to drive decisions around reliable deployment with measurable outcomes.
You'll:
- Own the deployment of ML models and engineering surrogates (e.g., deep learning on CAE/CFD/FEA data, time‑series forecasting, anomaly detection, optimization & control) to customer production environments.
- Communicate results and trade‑offs to senior stakeholders; steer roadmaps and influence product direction with evidence.
- Lead scoping and architecture design for data/ML systems; define success metrics, delivery plans and quality bars.
- Excel at building robust and scalable ML systems, training and inference pipelines and APIs, running both on cloud and on-prem environments. The tech stack you will use for this includes: Python, PyTorch, Pandas, fastAPI, Scipy, Kubeflow, among others.
- Mentor and develop engineers and data scientists; provide technical direction and clear, calm decision‑making under pressure.
- Travel to customer sites in North America, Europe, Asia, Oceania, for an average of 3-4 weeks per quarter, where you'll collaborate closely with customers to build solutions on-site.
- Own the scoping of new projects and work-streams with existing customers and taking part in bringing new customers to PhysicsX.
As a senior member of the team, you’ll significantly influence our technical direction and will be involved in shaping future solutions and products, while developing your skills as a technical leader.
Our delivery teams drive innovation to turn AI models into practical solutions - read our blog to learn more about how you’ll contribute to this exciting journey!
Ready to apply?
Apply to PhysicsX
Customer Success Manager
The Customer Success Team at RTI is dedicated to delivering exceptional customer experiences and driving significant business value. As a Customer Success Manager, you will build strong relationships with customers, foster successful product adoption and assist in identifying new project opportunities. You will play a crucial role in contributing to RTI’s overall success by driving retention and cultivating loyalty, while supporting revenue growth.
✨ What You’ll Do / Responsibilities
Customer Success and Focus:
- Become a trusted advisor through proactive engagement and guidance to help maximize the value of your customer’s products and services.
- Develop a strong understanding of customers’ organizations and business practices to build relationships with key influencer and decision maker contacts.
- Partner with internal teams (Products and Markets, Services, Marketing) to ensure customers have access to the latest solutions and expertise.
- Monitor customer health, proactively identify and mitigate potential risks to customer satisfaction and experience.
Customer Retention & Expansion:
- Collaborate closely with the Account Manager to align on account strategy and drive successful execution.
- Assist in identifying upsell and new project opportunities within existing customers and ensuring seamless handoffs to Account Manager and Field Application Engineer to pursue opportunities.
- Understand and track key performance indicators (KPIs) that measure the effectiveness of customer success initiatives.
Customer Success Strategy & Execution:
- Collaborate within the Customer Success team to develop and refine customer success best practices, methodologies, and playbooks.
- Assisting with the implementation and setup of technology to help us serve our customers at scale.
🎯 What We’re Looking For / Requirements
- Technical degree with at least 3+ years of experience in a post-sales, customer facing role such as customer success, field application engineering, customer support, customer experience focused program/project management.
- Excellent communication and collaboration skills, working with cross functional teams and initiatives.
- Strong focus on customer needs and an intellectual curiosity about the products that help to meet them.
- English proficiency is required.
- Work Authorization & Clearance: This role requires eligibility for Government security clearance for Aerospace & Defense projects. Clearance eligibility is limited to Singapore Citizens and Permanent Residents, as applicable. Work pass sponsorship is not available for this position.
- Willing and able to travel (up to 20%).
Don’t meet every single requirement? At RTI, we are dedicated to building a fair and inclusive workplace so if you’re excited about this role but your past experience doesn’t perfectly align with all qualifications in the job description, we encourage you to apply anyway! You may be just the right candidate for this or another one of our open roles. Learn more about our commitment to our workforce, here!
💎 Nice To Have / Preferred Skills
- Experience working with on-premise software is a plus.
- Experience in a quickly-scaling, post-sales customer function is preferred.
- Sales experience is a plus.
- Experience in autonomous devices, IoT/IIoT, or embedded systems preferred.
- Proficiency in a second language (Chinese, Japanese, and/or Korean) is a plus.
🌟 What We Offer You
- Flexible working schedule.
- Remote working + Home Office Stipend to cover the costs of working from home.
- Flexible Paid Time Off + “Real Vacation Bonus,” an additional bonus for taking more than 1-week of uninterrupted vacation.
- Annual bonus based on individual and company performance + other prizes and awards.
- We recognize employees for their achievements, offer great opportunities for career growth and development, and provide the tools they need to succeed.
💙 How is life at RTI
- We have been certified as a Great Place to Work for six consecutive years both in Spain and the US. In addition, we were listed as one of the Best Companies for Women to Advance.
- We live and work by our core values, which emphasize excellence, teamwork, and reaching your potential. Our motto is “Enjoy the journey,” above all we must enjoy what we do and have fun at work. At RTI, you will work in a positive, supportive, diverse environment with a team that truly cares about you.
- We are defined by our “Working as One” culture and truly care about team’s interaction. That is why we plan trips for teams to get together in person, enjoy fun team-building activities and events, and feel more connected.
🌍 What We Do / About RTI
Real-Time Innovations (RTI) is the data-streaming company for intelligent distributed systems. RTI Connext® software is the critical nervous system for over 2,000 designs across Aerospace and Defense, MedTech, Automotive, and Robotics. Connext is the only real-time data streaming platform that can both control demanding physical systems and integrate them with cloud applications. RTI helps organizations develop, deploy, and scale intelligence and physical AI from edge to cloud, faster. RTI Runs a Smarter World™. Learn more at www.rti.com.
RTI is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, age status as a protected veteran, or status as a qualified individual with disability.
Ready to apply?
Apply to Real-Time Innovations
About us
Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.
Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.
In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.
At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.
Make Wayve the experience that defines your career!
The role
We’re seeking an exceptional Principal Application SW Engineer to join our Japan-based within the Application Software team, focused on localising and advancing Wayve’s autonomous driving technology for the Japanese market. This is a unique opportunity to play a hands-on role in shaping our AV capabilities in Japan from the ground up.
In this role, you’ll be responsible for the bring-up and early validation of our AI software stack on customer hardware platforms, ensuring seamless performance across diverse SoCs and operating systems. You’ll collaborate closely with cross-functional teams across Verification, Release, and OEM partners to ensure smooth integration and reliable delivery.
Key responsibilities:
- Execute software bring-up on customer hardware platforms (e.g. NVIDIA Drive, Qualcomm Ride).
- Port and configure Linux-based systems, QNX, and Adaptive AUTOSAR environments.
- Integrate and validate drivers, middleware, and boot-time configurations.
- Collaborate with Verification & Release teams to integrate hardware into CI/CD, HIL, and test infrastructure.
- Work with OEM and Tier 1 teams to resolve hardware-specific integration issues.
- Implement system-level diagnostics, logging, and secure boot configuration.
- Develop automation for setup, flashing, health checks, and test execution on target hardware.
About you
In order to set you up for success at Wayve, we’re looking for the following skills and experience.
- 8+ years of experience in embedded or automotive software development, ideally with hands-on platform bring-up experience.
- Strong proficiency in C/C++, Bash, and Python.
Deep understanding of Linux-based embedded systems (Yocto, systemd, bootloaders, device trees). - Familiarity with QNX and Adaptive AUTOSAR environments and the ability to configure and debug them on target hardware.
Experience with bring-up on automotive-grade SoCs (e.g., NVIDIA Orin, Qualcomm SA8295/SA8650, Renesas, TI). - Comfortable working with hardware debuggers, flashing tools, serial consoles, and board support packages (BSPs).
- Familiarity with communication protocols like CAN, Ethernet, PCIe, SPI, I2C.
- Hands-on experience integrating embedded platforms into CI/CD pipelines and test automation frameworks.
- No Japanese language required.
Desired
- Exposure to automotive verification environments (e.g., HIL systems, Vector toolchains, custom CI rigs).
- Experience working in a safety-critical domain with an understanding of ISO 26262, boot-time determinism, and watchdogs.
- Understanding of secure boot, OTA updates, and system-level cybersecurity topics.
- Familiarity with Docker, Jenkins, Git, and artifact management tools like JFrog Artifactory.
This is a full-time role based in our office in Tokyo - we offer relocation package and visa sponsorship.
At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.
For more information visit Careers at Wayve.
To learn more about what drives us, visit Values at Wayve
DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.
Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.
We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.
At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.
For more information visit Careers at Wayve.
To learn more about what drives us, visit Values at Wayve
DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.
Ready to apply?
Apply to Wayve
About us
Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.
Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.
In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.
At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.
Make Wayve the experience that defines your career!
The role
We’re seeking an exceptional Application SW Engineer to join our Japan-based within the Application Software team, focused on localising and advancing Wayve’s autonomous driving technology for the Japanese market. This is a unique opportunity to play a hands-on role in shaping our AV capabilities in Japan from the ground up.
In this role, you’ll be responsible for the bring-up and early validation of our AI software stack on customer hardware platforms, ensuring seamless performance across diverse SoCs and operating systems. You’ll collaborate closely with cross-functional teams across Verification, Release, and OEM partners to ensure smooth integration and reliable delivery.
Key responsibilities:
- Execute software bring-up on customer hardware platforms (e.g. NVIDIA Drive, Qualcomm Ride).
- Port and configure Linux-based systems, QNX, and Adaptive AUTOSAR environments.
- Integrate and validate drivers, middleware, and boot-time configurations.
- Collaborate with Verification & Release teams to integrate hardware into CI/CD, HIL, and test infrastructure.
- Work with OEM and Tier 1 teams to resolve hardware-specific integration issues.
- Implement system-level diagnostics, logging, and secure boot configuration.
- Develop automation for setup, flashing, health checks, and test execution on target hardware.
About you
In order to set you up for success at Wayve, we’re looking for the following skills and experience.
- 8+ years of experience in embedded or automotive software development, ideally with hands-on platform bring-up experience.
- Strong proficiency in C/C++, Bash, and Python.
Deep understanding of Linux-based embedded systems (Yocto, systemd, bootloaders, device trees). - Familiarity with QNX and Adaptive AUTOSAR environments and the ability to configure and debug them on target hardware.
Experience with bring-up on automotive-grade SoCs (e.g., NVIDIA Orin, Qualcomm SA8295/SA8650, Renesas, TI). - Comfortable working with hardware debuggers, flashing tools, serial consoles, and board support packages (BSPs).
- Familiarity with communication protocols like CAN, Ethernet, PCIe, SPI, I2C.
- Hands-on experience integrating embedded platforms into CI/CD pipelines and test automation frameworks.
- No Japanese language required.
Desired
- Exposure to automotive verification environments (e.g., HIL systems, Vector toolchains, custom CI rigs).
- Experience working in a safety-critical domain with an understanding of ISO 26262, boot-time determinism, and watchdogs.
- Understanding of secure boot, OTA updates, and system-level cybersecurity topics.
- Familiarity with Docker, Jenkins, Git, and artifact management tools like JFrog Artifactory.
This is a full-time role based in our office in Tokyo - we offer relocation package and visa sponsorship.
At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.
For more information visit Careers at Wayve.
To learn more about what drives us, visit Values at Wayve
DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.
Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.
We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.
At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.
For more information visit Careers at Wayve.
To learn more about what drives us, visit Values at Wayve
DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.
Ready to apply?
Apply to Wayve