Experience Requirements:

• Java

• Spring

• Spring Boot

• Microservices

• AWS / GCP / Azure

Other Requirements:

• Kafka (Optional)

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

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

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:

• 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:

• 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

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:

• 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 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.

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:

• 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:

• Offers Equity

• medical

• 401(k)

Other Requirements:

• Are you authorized to work in the location(s) you selected in your previous response?

• Will you require Centari to sponsor you for a work permit now or in the future for the location(s) you selected in in your previous response?

• Are you willing to travel 1 week per quarter within the United States for onsite meetings?

• What is your experience with AI coding tools?

Benefits:

• Be part of a mission-driven team transforming the IP industry with AI-powered solutions.

• Work in a collaborative, entrepreneurial environment where your voice matters.

• Enjoy opportunities for professional growth and development as we scale.

• Make a tangible impact on our clients and the innovation ecosystem.

Education Requirements:

• Licensed patent attorney

Experience Requirements:

• > 3 years hands-on experience in patent drafting and prosecution.

• Proven track record in a client-facing role such as customer success, pre-sales, product management, or consulting.

Other Requirements:

• Deep expertise in intellectual property law and practice, with a strong understanding of client challenges in patent workflows.

• Entrepreneurial mindset; thrives in a fast-paced startup environment, managing multiple priorities with minimal supervision.

• Passion for leveraging technology and innovation to drive client success and business growth.

• Exceptional communication and presentation skills, able to engage technical and non-technical audiences effectively.

• Analytical mindset with a talent for translating client needs into actionable product and business insights.

Responsibilities:

• Drive client success by ensuring seamless onboarding and deep adoption of DeepIP’s tools, maximizing integration into their patent drafting and prosecution workflows.

• Foster strong, lasting relationships with clients to promote satisfaction and loyalty while positioning DeepIP as an indispensable partner.

• Partner with Account Executives to win more deals by demonstrating the business value of DeepIP’s solutions with credibility and expertise.

• Act as the bridge between pre-sales, post-sales, and product teams, leveraging your expertise as a patent attorney to deliver unique insights that fuel product innovation.

• Work with the marketing team to craft compelling narratives about the pains, solutions, and value DeepIP delivers.

Benefits:

• Be part of a mission-driven team transforming the IP industry with AI-powered solutions.

• Work in a collaborative, entrepreneurial environment where your voice matters.

• Enjoy opportunities for professional growth and development as we scale.

• Make a tangible impact on our clients and the innovation ecosystem.

Experience Requirements:

• at least 2 years as a BDR, demonstrating excellence in handcrafted, highly qualitative prospection on an educated and demanding persona.

• 2 to 3 years of experience as an AE in a demanding vertical SaaS environment, with a strong record of managing complex enterprise sales cycles.

• Proven successful track record of selling $50k to $250k ACV software solutions.

• Ability to lead complex, multi-threaded sales with stakeholders ranging from executives to daily users – especially the ability to convey technical concepts to non-technical audiences.

Other Requirements:

• True hunter profile

• Excited about prospecting, and capable of independently leading a full sales cycle from start to finish.

• Demonstrated passion for DeepIP’s mission and a strong understanding of AI and its potential applications in the IP sector.

• Understands DeepIP’s business model and implements sales strategies in order to capitalize on opportunities and reduce competitive threats.

• Team player who can collaborate effectively across functions.

Responsibilities:

• Create and oversee a targeted account list, handling every stage of the sales process from initial outreach, demonstrating the product, closing contracts, and nurturing the relationship.

• Master MEDDIC, maintain excellent pipeline documentation & hygiene in CRM, ensure a 3X pipeline coverage, and achieve your quota consistently.

• Establish and maintain strong, long-lasting relationships with key decision-makers and stakeholders, gaining a deep understanding of their challenges.

• Work collaboratively with different departments, particularly marketing and product teams, to represent market insights, enhance messaging, and drive the product roadmap forward.

• Deliver product demos and presentations to demonstrate the value of DeepIP

Experience Requirements:

• 3+ years

Benefits:

• Equity Compensation

• Health & Well-being

• Financial Future

• Location

• Generous Time Off; unlimited PTO (mandatory 1 week/year minimum), uncapped sick days and 11 paid company holidays (17 for India based roles). Note that some roles in India have 17 paid company holidays instead of 11 as for US based roles; see detailed job post to know which applies to given role.) -Company Camaraderie -Food & Meal Allowance -Equipment -Child Bonding!

Experience Requirements:

• 5-7+ years building large-scale data systems.

• Experience with inner workings of distributed (multi-tiered) systems, algorithms, and relational databases.

• Experience with large scale data compute engines / processing frameworks.

• Experience building distributed and/or data storage systems or query engines.

Responsibilities:

• As an engineer on the Open Source team at Onehouse, you'll play a pivotal role in shaping and realizing the vision and roadmap for Apache Hudi, while also shaping the future of data lakehouse space.

• Collaborate across multiple teams within Onehouse, serving as the vital bridge between the open-source Apache Hudi project and Onehouse's managed solution, ensuring seamless collaboration and integration.

• Engage closely with community partners and contributors, serving as a steward of the Apache Hudi project, fostering collaboration and guiding its evolution.

• Champion a culture of innovation, quality and timely execution, enabling the team to deliver on the vision of the next-generation data lakehouse.

• Architect and implement solutions that scale to accommodate the rapid growth of our customer base, open source community and the ever-expanding demands of the datalake ecosystem at large.

Benefits:

• Equity Compensation

• Health & Well-being

• Financial Future

• Location

• Generous Time Off; unlimited PTO (mandatory 1 week/year minimum), uncapped sick days and 11 paid company holidays (17 for India based roles). Note that some roles in India have 17 paid company holidays instead of 11 as for US based roles; see detailed job post to know which applies to given role.) -Company Camaraderie -Food & Meal Allowance -Equipment -Child Bonding!

Experience Requirements:

• Strong, object-oriented design and coding skills (Java and/or C/C++ preferably on a UNIX or Linux platform).

• Experience with inner workings of distributed (multi-tiered) systems, algorithms, and relational databases.

Responsibilities:

• As a foundational member of the Data Infrastructure team, you will productionize the next generation of our data tech stack by building the software and data features that actually process all of the data we ingest.

• Accelerate our open source <> enterprise flywheel by working on the guts of Apache Hudi's transactional engine and optimizing it for diverse Onehouse customer workloads.

• Act as a SME to deepen our teams' expertise on database internals, query engines, storage and/or stream processing.

Benefits:

• Comprehensive medical, dental, and vision insurance

• Flexible Spending Account (FSA), Health Savings Account (HSA

• Expert Healthcare Guidance

• Retirement savings

• 15 company holidays each year 15 days of personal time off each year Flex Commuter Benefits Daily lunch and dinner on Chalk Office is fully-stocked with drinks and snacks to fuel your work day. Staying late? Dinner is on us Staying even later? Grab an Uber / Lyft home on Chalk

Experience Requirements:

• Technical background including experience writing software or building ML models

• 2+ years experience of professional backend software engineering experience

Responsibilities:

• Write code to implement Chalk technology for Chalk customers and prospects. You will become familiar with Chalk infrastructure and find the best way to integrate and implement them in different environments

• Work closely with our Engineering and Sales teams

• Act as the the primary technical point of contact pre-sales and post-sales (when we are onboarding a new customer or supporting an existing one)

• Recommend new products to customers as their business evolves

• Help interview and grow the Engineering team

Benefits:

• Comprehensive medical, dental, and vision insurance

• Flexible Spending Account (FSA), Health Savings Account (HSA

• Expert Healthcare Guidance

• Retirement savings

• 15 company holidays each year 15 days of personal time off each year Flex Commuter Benefits Daily lunch and dinner on Chalk Office is fully-stocked with drinks and snacks to fuel your work day.

Education Requirements:

• Bachelor’s Degree

Experience Requirements:

• 5+ years of experience of closing experience technical sales (2+ in a start-up environment - ideally with experience in enterprise B2B / developer tools)

• Proven history of exceeding quota targets at at high-growth organizations by navigating and developing new sales processes

• History of strategic and creative pipeline generation tactics

Responsibilities:

• Identify prospective customers, generate and convert opportunities for net new business

• Design and execute dynamic sales strategies to meet and exceed revenue quotas

• Analyze market landscapes, trends, to define playbook for the Chalk sales playbook

• Take a consultative approach to sales by assessing customer goals and technical challenges

• Become an expert on Chalk and answer questions about the product Lead presentations and demos of Chalk’s product and collaborate with ML Engineers Negotiate prices and terms Work closely with Engineering, Machine Learning Engineering and Marketing teams