Experience Requirements:

• 7+ years (Staff) or 10+ years (Principal) years in ML engineering, with a strong track record of shipping deep learning systems to production

• Expert in deep learning (esp. sequential models, control, planning, or perception)

• Proficient in Python and other relevant languages (e.g. C++ and CUDA) and ML frameworks (esp. PyTorch), with a solid foundation in software engineering practices

• Experience with real-time systems or robotics, ideally with simulation- or vehicle-in-the-loop components

• Ability to lead technical initiatives across teams, drive alignment, and mentor engineers

Other Requirements:

• Passionate about self-driving cars and think you have what it takes to make a positive impact on the world

Responsibilities:

• Develop and improve end-to-end driving models with state-of-the-art performance, robustness, and generalization

• Lead projects on personalized and collaborative driving, including behavior conditioning, comfort tuning, and user alignment

• Build evaluation pipelines and metrics for both closed-loop and open-loop driving performance and product readiness

• Curate and mine real-world and synthetic data to drive scenario diversity, coverage, and feature-specific development

• Influence architecture choices, training methodologies, and deployment pathways for production-scale learning systems

Experience Requirements:

• 7+ years (Staff) or 10+ years (Principal) years in ML engineering, with a strong track record of shipping deep learning systems to production

• Expert in deep learning (esp. sequential models, control, planning, or perception)

• Proficient in Python and other relevant languages (e.g. C++ and CUDA) and ML frameworks (esp. PyTorch), with a solid foundation in software engineering practices

• Experience with real-time systems or robotics, ideally with simulation- or vehicle-in-the-loop components

• Ability to lead technical initiatives across teams, drive alignment, and mentor engineers

Other Requirements:

• Passionate about self-driving cars and think you have what it takes to make a positive impact on the world

Responsibilities:

• Develop and improve end-to-end driving models with state-of-the-art performance, robustness, and generalization

• Lead projects on personalized and collaborative driving, including behavior conditioning, comfort tuning, and user alignment

• Build evaluation pipelines and metrics for both closed-loop and open-loop driving performance and product readiness

• Curate and mine real-world and synthetic data to drive scenario diversity, coverage, and feature-specific development

• Influence architecture choices, training methodologies, and deployment pathways for production-scale learning systems

Experience Requirements:

• Proven track record of managing engineering teams

• Solid understanding of machine learning fundamentals

• Experience with roadmap planning, stakeholder management, requirements gathering and alignment with peers towards milestones and deliverables

• Track record of promoting software engineering best practices and excellence within the team

• Demonstrated ability to manage software engineers and grow their careers

Other Requirements:

• Passionate about self-driving cars and think you have what it takes to make a positive impact on the world

Responsibilities:

• Help define and drive the Collision Avoidance roadmap, lead technical discussions and guide direction where needed

• Build a resilient team which prioritises effectively, anticipates the needs of the business, and maintains a culture of impact

• Understand Wayve’s end-to-end approach and how it maps to AV 1.0

• Dive into data analytics, constructing evaluation suites, and get in-vehicle experiences from time to time to ground your understanding of the system

• Drive cross-functional initiatives through effective communication

Experience Requirements:

• Proven track record of managing high-performing machine learning engineering teams

• Strong understanding of generative AI, including experience with model training and deployment

• Experience with roadmap planning, stakeholder management, requirements gathering, and alignment with peers towards milestones and deliverables

• Demonstrated ability to guide the development and operationalisation of ML models, with attention to model lifecycle, reliability, and performance

• Track record of promoting software engineering and ML Ops best practices within the team

Other Requirements:

• Passionate about self-driving cars and think you have what it takes to make a positive impact on the world

Responsibilities:

• Define and drive the engineering roadmap for synthetic data generation using generative AI

• Lead technical discussions across research and engineering, and guide architectural and implementation decisions across model training, deployment, and data delivery pipelines

• Set effective KPIs and metrics to evaluate model quality, generation throughput, coverage, and overall impact on system evaluation

• Build scalable, reliable systems and teams, anticipate the needs of the business 18 months out, identify areas where investment is needed, and grow the team as hiring manager

• Prioritise effectively, implement and maintain lean, ML-ops friendly team processes that support both iterative model development and robust internal tool delivery

Experience Requirements:

• 2+ years experience leading high-performing engineering teams

• Proven track record designing and scaling distributed systems, particularly search or indexing infrastructure

• Experience with vector similarity search, ANN algorithms, or semantic retrieval systems

• Strong technical fluency with Python and/or systems-level languages (e.g., C++, Go); familiarity with data stack components like Spark, Ray, Databricks

• Comfort working with ML workflows or embedding-based pipelines

Other Requirements:

• Passionate about self-driving cars and think you have what it takes to make a positive impact on the world

Responsibilities:

• Lead and grow a team focused on the design, scaling, and reliability of Wayve’s corpus indexing systems

• Define the technical architecture for embedding-based retrieval, metadata-based querying, and multi-modal index structures

• Establish engineering rituals (planning, standups, retros) and team delivery rhythm

• Work closely with ML, data curation, and simulation teams to align indexing priorities with downstream workflows

• Ensure the indexing system meets evolving performance, recall/precision, and observability needs at scale

Education Requirements:

• BS or MS in Computer Science, Engineering, or similar experience

Experience Requirements:

• 3+ years of leading complex teams with multiple management layers

• Domain knowledge: validation methods – by design, system decomposition, traceability, statistical approaches

• Domain knowledge: neural net understanding/introspection and/or validation

• Domain knowledge: robotics including computer vision and motion – scenario understanding and simulation

• Execution skills: resource allocation, program planning and execution

Other Requirements:

• Passionate about self-driving cars and think you have what it takes to make a positive impact on the world

Responsibilities:

• Define and own the technical vision, strategy and metrics for your area, ensuring its teams and the rest of Wayve are aligned and galvanised

• Design and grow a Validation engineering organisation covering model releases and system level validation

• Cover all our AV product requirements (safety, utility, comfort) on a set of reference platforms with automated tests

• Find architectural and implementation gaps throughout our systems

• Drive requirements into our tooling development – simulators, generative AI, scenario understanding

Education Requirements:

• PhD Student in Computer Science, Artificial Intelligence, or a related field, or equivalent senior research experience

Experience Requirements:

• Deep expertise in diffusion, transformer, and multimodal generation models (e.g., text-to-video, image-to-video, video-to-video)

• Proficiency in PyTorch and distributed training frameworks

• Research contributions demonstrated through publications in top AI conferences (e.g., NeurIPS, CVPR, ICCV, SIGGRAPH)

• Familiarity with AI filmmaking tools and workflows (e.g., MidJourney, Runway, Wan, ComfyUI)

• Interest in AI filmmaking or experience creating your own AI short films

Responsibilities:

• Participant in training and fine-tuning of image and video generative models on clusters with hundreds to thousands of GPUs

• Research and develop advanced training strategies, including continuous training, RL-based post-training for advanced capabilities(e.g., reasoning, controllability, consistency), and unified text-image-video Auto-regressive modeling

• Design and optimize high-quality data pipelines to enable effective multimodal training with large-scale domain specific datasets

• Build automated evaluation frameworks to assess fidelity, coherence, and adherence to input conditions

• Collaborate with researchers, engineers, and creative teams to translate research breakthroughs into practical filmmaking production workflows

Benefits:

• Company equity % in an early-stage startup

• 100% company-paid private Dental & Vision insurance

Experience Requirements:

• Strong machine learning fundamentals (linear algebra, probability and statistics, supervised and self-supervised learning)

• Comfortable with productionzing a Pytorch model developed in C++, profiling the model for latency, finding bottlenecks, and optimizing them

• Good understanding of docker and containerization

• Experience with Pytorch and Python3, and comfortable with C++

• Understanding of Torch script, ONNX runtime, TensorRT

Other Requirements:

• You should be a good software engineer who enjoys writing production-grade software.

• Keeping up with the latest in deep learning research, reading research papers, and familiarity with the latest developments in foundation models and LLMs

• Understanding of half-precision inference and int8 quantization

Responsibilities:

• Take an existing open-source Pytorch model, fine tune, productionize them in C++ runtime, and optimize for latency and throughput.

• Take an open-source model and fine-tune them on our in-house data set as needed.

• Design thoughtful experiments in evaluating the tradeoffs between latency and accuracy on the end customer use case.

• Integrate the model with the downstream use case and fully own the end metrics.

• Maintain and improve all existing ML applications in the product

Benefits:

• Competitive compensation package

• 100% employer-paid medical, dental, vision, and life insurance

• Paid time off and holidays

• 401(k) with traditional and Roth options

• Equity in a rapidly growing company

Education Requirements:

• Bachelor’s degree (minimum) in Mechanical Engineering, Electrical Engineering, or related field.

Experience Requirements:

• 2–5 years of experience in electromechanical or hardware product development.

• Strong CAD proficiency (Fusion 360, SolidWorks, or equivalent).

• Proven DFM/DFA experience and understanding of manufacturing techniques for sheet metal and injection molding.

• Working knowledge of thermal, vibration, and environmental design considerations.

Other Requirements:

• Be a proactive self-starter: take initiative, act with urgency, and bring a scrappy, hands-on approach to problem solving in fast-moving environments.

• Drive execution across multiple workstreams with urgency and accountability.

• Chinese proficiency and experience leading vendor engagement or manufacturing with partners in Taiwan and China.

• Strong hands-on prototyping instincts: you’re quick to translate ideas into physical proofs of concept and iterate fast.

• Demonstrated bias for action and ownership: you naturally take projects from half-baked idea to working hardware without waiting for direction.

Responsibilities:

• Lead the design, development, and validation of electromechanical assemblies balancing performance, manufacturability, and cost.

• Own the full product lifecycle from prototype through EVT/DVT/PVT, vendor handoff, and field deployment.

• Manage vendor and supplier relationships to ensure on-time, high-quality delivery.

Benefits:

• Company equity % in an early-stage startup

• 100% company-paid private Dental & Vision insurance

Experience Requirements:

• 3+ years of experience writing production software in C++ and Python of experience building applications processing real-time data and optimizing them for latency and memory.

• Experience using various profiling tools (e.g., gdb, Nsight, Valgrind, flame graph) to optimize the code.

• Experience with Docker, CI / CD pipelines.

• Experience with Edge/IoT computing (we have a fleet of deployed edge computers).

• Experience with infrastructure management (e.g., Salt).

Other Requirements:

• Experience with monitoring tools (e.g., Grafana).

• Experience with video processing & streaming (e.g., Gstreamer).

• Experience interfacing ML models (we use PyTorch).

• High intrinsic motivation to succeed and ability to work hard.

Responsibilities:

• Building edge applications processing vision data and communication layers for the compute-constrained edge devices.

• Deploying machine learning models to production.

• Optimizing the platform runtime for maximum performance. This is largely C++ code with parts of the pipeline running on GPU.

• Building observability and telemetry.

Benefits:

• Company equity % in an early-stage startup

• 100% company-paid private Dental & Vision insurance

Experience Requirements:

• 3+ years of industry experience and having built systems of reasonable scale

• Familiar and have experience with backend technologies including Python or Go.

• Experience with databases such as Postgres, Redis.

• Familiar and have experience with front-end technologies (Typescript, React, react-query, build tools, React component libraries).

• Experience with Infrastructure-as-code solutions (e.g., Pulumi over AWS).

Other Requirements:

• Experience with Mobile development (we use React-native).

• Any experience with platform engineering (C++), or video streaming is a strong bonus but not required.

• High intrinsic motivation to succeed and ability to work hard.

Responsibilities:

• Design and implementation of new backend APIs and working with the edge team.

• Implementing user-facing front-end interfaces and working with the product team.

• Ensure the system can scale and have full observability.

• Delivering high-quality features, testing them well, and debugging issues.

Other Requirements:

• Strong analytical, diagnostic and problem-solving skills

• Strong drive to self-educate

• Experience with oscilloscopes

• Scripting, preferably Python

Responsibilities:

• Quickly get up to speed on electrical, thermal, and mechanical aspects of the design

• Study failure signatures of the systems and do hands-on troubleshooting

• Pursue failure analysis down to silicon, PCB boards or external components

• Analyze and document results and provide recommendations

• Interface with internal groups (SoC, systems and mfg) as well as outside vendors

Education Requirements:

• Advanced degree in Mechanical Engineering, Material Science, or related disciplines

Experience Requirements:

• Approximately 10 years of experience in delivering complex mechanical systems, with a proven track record in leading technical teams

Other Requirements:

• Strong understanding of advanced cooling solutions, including liquid cooling, with a solid background in thermal analysis

• Expertise in DfX, particularly in the design of complex mechanical assemblies and systems

• Experience with product development for Servers, Switches, Routers or Racks and Enclosure products for datacenter equipment

• Experience with advanced electro-mechanical packaging technologies is a plus

• Proficiency in multi-physics simulations and experimental verification methods for advanced pathfinding

• Exceptional project ownership and delivery skills, with a demonstrated ability to manage and deliver complex, cross-functional projects

• Excellent leadership, communication, and problem-solving skills, with the ability to work effectively in a fast-paced, dynamic environment

Responsibilities:

• Lead and manage the mechanical engineering team, overseeing the development of all mechanical aspects of our products, including thermal and liquid-cooling solutions, mechanical enclosures, and complex assemblies

• Own and drive cross-functional projects, coordinating with multiple disciplines to ensure successful project delivery and alignment with company goals

• Develop and implement advanced cooling solutions, including liquid cooling, and provide expertise in thermal analysis to optimize product performance

• Ensure that designs meet DfX (Design for Excellence) criteria, particularly in the development of complex mechanical assemblies and systems

• Contribute to the advancement of electro-mechanical packaging technologies, providing technical leadership and direction

Education Requirements:

• BS or MS in EE, ECE, CS or equivalent work experience

Experience Requirements:

• 5+ years of industry experience

Other Requirements:

• Solid experience in hardware bring-up and the debug of complex systems including ASICs, SoCs or microprocessors

• Excellent debugging, analytical, and problem-solving skills

• Understanding of computer architecture

• Working knowledge of scripting in languages such as Python and/or Perl

• Good understanding of DFT, ATPG, and design for debug techniques and their application in testing of silicon

• Good interpersonal skills, ability & desire to work as a standout colleague

• Proven track record of working cross-functionally and driving issues to closure

Responsibilities:

• silicon testing, repair and burn in of Cerebras wafer scale engines

• Utilize silicon redundancy to repair wafers based on defect signatures

• Run repair algorithms and use strategies to optimize wafer performance and quality

• Debug issues found in production, to enable volume ramp of system production

• Root cause issues and recommend solutions

Education Requirements:

• BS or MS in Electrical Engineering, Computer Science or similar

Experience Requirements:

• 10+ years of flow development and or scripting for physical design

Other Requirements:

• Expert at generating structured placement and routing

• Expert at characterization automation

• Expert in scripting languages like Tcl and Python. Ability to develop PD flows, tools and augmentation scripts

• Experience with the complete physical design flow. Knowledge of Synopsys tool suite is a plus.

• Good understanding of full chip floorplanning and integration.

• Good knowledge of server infrastructure and experience with integrating AWS and internal compute resources

• Demonstrated ability to work with RTL teams to optimize for physical design

• Excellent analytical, and problem-solving skills

• Good interpersonal skills and ability & desire to work as a standout colleague are a must.

• Extremely self-motivated and eager to solve problems

Responsibilities:

• Physical Design automation

• projects involving scripted placement, routing, library cell characterization, and providing support for server infrastructure

Education Requirements:

• BS or MS in Electrical Engineering or equivalent

Experience Requirements:

• 10+ years of circuit design and analysis experience

Other Requirements:

• Strong knowledge of leading edge CMOS FinFet technology and transistor behavior

• Expert at running circuit level simulations across a variety of design types

• Expert with Hspice and Finesim type simulation tools

• Good understanding of techniques for optimizing clock distribution

• Good understanding of power supply distribution, IR drop problems and how to analyze them

• Experience running aging simulations & knowledge of NBTI ,PBTI, HCI

• Good understanding of IO circuits, ESD circuits and their analysis

• Experience with analyzing power dissipation and making recommendations for optimizations

• Strong ability in scripting languages like Tcl and Python

• Demonstrated ability to work with cross functionally to resolve problems

• Excellent analytical, and problem-solving skills

• Strong interpersonal skills and a willingness to collaborate effectively are essential qualities for success in any team

• Extremely self-motivated and eager to solve problems

Responsibilities:

• circuit design tasks including clock design, power simulations, IO design, ESD, aging simulations, memory evaluations, datapath, and standard cell customizations

• design and analyze custom circuits

• circuit analysis of our wafer scale engine

Benefits:

• Competitive salary and benefits package

• Competitive stock options and performance-based bonuses

• Comprehensive medical, dental, and vision plans

• Professional development and growth opportunities

• Global team offsites

Education Requirements:

• Bachelor's degree or higher in Computer Science or a related field

Experience Requirements:

• 5-8 years of experience in software engineering

• Fast learner and self-starter as a full-stack engineer

• Strong product and business sense and can build product based on customers' needs

• Good understanding of software engineering principles and best practices

• A strong entrepreneurial or hacker spirit or experience in a rapidly growing startup

Other Requirements:

• Able to work with senior engineers across the Asia time zone, including periodic evening meetings, and excited to work on-site with our teammates in our Sunnyvale office

Responsibilities:

• hack and build our next generation smart AI editor that can self ingest, comprehend, do rough and fine cuts of videos based on a user's real-time feedback and taste of previous content

• familiarizing our product and growth funnels

• prototyping and crafting our next innovative product for prosumers and enterprise customers

Education Requirements:

• Currently enrolled or recently graduated with MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields. Specialization in data engineering preferred.

• Current BS or MS student or recent graduate. CS major is a plus

• Currently Enrolled or graduated with MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields. Specialization in machine learning preferred.

• BS or MS in Computer Science or related field

Experience Requirements:

• Strong understanding of data engineering principles using big data technologies

• Expertise in relational databases (MSSQL/MySQL/Postgres) and expertise in SQL. Exposure to NoSQL such as Cassandra. MongoDB will be a plus

• Experience with distributed computing using Hadoop and Spark

• Exposure to deploying ETL pipelines such as AirFlow, AWS Data Pipeline, AWS Glue

• Excellent programming skills in Java, SCALA or Python. Python is preferred. Experience using Tableau for data visualization will be a plus Preferred: Ability to stay-on for part-time or full-time as a co-op until May 2020 Ability to demonstrate a portfolio of projects (GitHub, papers, etc.)React/Redux, HTML5, CSS3, JavaScript, Python, Django and REST API’s Strong foundation in Computer Science, with deep knowledge of data structures, algorithms, and software design Experience with GIT, CI/CD tools, Atlassian software, AWS CodeDeploy, Lambda, Serverless a plus Experience with Elasticsearch/ELK stack a plus Contribute with ideas to overall product strategy and roadmap Self-starter to take ownership of the platform engineering and application development Work on multiple projects simultaneously and get things done. Take products from prototype to production Collaborate with other team members for continuous development Preferred: Ability to stay-on for part-time or full-time as a co-op until May 2020 Ability to demonstrate a portfolio of projects (GitHub, papers, etc.) Strong understanding of machine learning algorithms & principles (regression analysis, time series, probabilistic models, supervised classification and unsupervised learning), and their application. Experience with Deep Learning algorithms such as Convolutional Neural Networks, Recurrent Neural Networks and LSTM. Familiarity with Deep Learning frameworks such as TensorFlow and PyTorch, and strong experience in at least one of those. Excellent programming skills in prototyping languages such as Python and R. Python is preferred. Ability to demonstrate a portfolio of projects (GitHub, papers, etc.) will be a plus. Smart, motivated and can-do attitude is absolute must. Excellent verbal and written communication. React/Redux, HTML5, CSS3, JavaScript, Python, Django and REST API’s BS or MS in Computer Science or related field Strong foundation in Computer Science, with deep knowledge of data structures, algorithms, and software design Experience with GIT, CI/CD tools, Sentry, Atlassian software and AWS CodeDeploy a plus Contribute with ideas to overall product strategy and roadmap Improve codebase with continuous refactoring Self-starter to take ownership of the platform engineering and application development Work on multiple projects simultaneously and get things done. Take products from prototype to production Collaborate with team in Sunnyvale, CA to lead 24x7 product development

Responsibilities:

• participating in developing and deploying fault-tolerant ETL pipelines, perform data visualization and enable the development of ML algorithms

• participating in developing and deploying frontend/backend applications, creating vizualization dashboards and developing ways to integrate high frequency data data from devices onto our platform

• participating in developing and deploying fault-tolerant ETL pipelines, perform data visualization and enable the development of ML algorithms

• participating in developing and deploying frontend/backend applications, creating vizualization dashboards and developing ways to integrate high frequency data data from devices onto our platform

Education Requirements:

• Currently Enrolled or graduated with MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields. Specialization in machine learning preferred

Experience Requirements:

• Strong understanding of machine learning algorithms & principles (regression analysis, time series, probabilistic models, supervised classification and unsupervised learning), and their application

• Experience with Deep Learning algorithms such as Convolutional Neural Networks, Recurrent Neural Networks and LSTM

• Familiarity with Deep Learning frameworks such as TensorFlow and PyTorch, and strong experience in at least one of those

• Excellent programming skills in prototyping languages such as Python and R. Python is preferred

Responsibilities:

• participating in developing and deploying fault-tolerant ETL pipelines, perform data visualization and enable the development of ML algorithms

Education Requirements:

• Current BS or MS student or recent graduate. CS major is a plus

Experience Requirements:

• React/Redux, HTML5, CSS3, JavaScript, Python, Django and REST API’s

• Strong foundation in Computer Science, with deep knowledge of data structures, algorithms, and software design

• Experience with GIT, CI/CD tools, Atlassian software, AWS CodeDeploy, Lambda, Serverless a plus

• Experience with Elasticsearch/ELK stack a plus

• Contribute with ideas to overall product strategy and roadmap

Responsibilities:

• participating in developing and deploying frontend/backend applications, creating vizualization dashboards and developing ways to integrate high frequency data data from devices onto our platform