Experience Requirements:

• 2–4 years in investment banking, private equity, management consulting, or similarly analytical/finance-heavy roles

• Strong grounding in financial statements, corporate finance, and operating metrics; excellent analytical/quant skills

• Customer-facing presence—comfortable with CFOs, controllers, and finance teams

• Project/process ownership from end to end with high attention to detail

• Clear, crisp communication—you can craft compelling decks and narratives for internal, investor, and customer audiences

Responsibilities:

• Enable our GTM motion. Design and run lightweight, high-signal processes; manage inbound and qualify leads; run targeted outbound to CFOs and controllers; maintain pipeline hygiene; create sales assets that tell the right story

• Drive customer deployments & success. Facilitate early customer conversations, coordinate pilots, and ensure smooth deployments that demonstrate ROI

• Own cross-functional ops. Stand up and streamline core workflows so information flows and nothing falls through the cracks

• Instrument the business. Define, track, and report KPIs; build dashboards covering company performance, deployments, and operational health

• Support strategic initiatives & comms. Partner with leadership on internal presentations, investor updates, customer-facing materials, and special projects

Experience Requirements:

• 3–6 years in customer success, implementations, consulting, or strategic account management

• Strong written and verbal communication across all levels of an organization

• Proven success managing complex projects with multiple stakeholders

• Interest in finance, operations, and AI-driven transformation

Responsibilities:

• Lead customer onboarding and end-to-end deployment execution

• Maintain day-to-day relationships with operators and executives

• Drive adoption across workflows and ensure customers realize measurable value

• Build dashboards and success metrics to showcase outcomes

• Identify expansion opportunities and help craft account strategies

Education Requirements:

• CS degree or equivalent experience

Experience Requirements:

• Quality experience building production infrastructure for high-throughput, performance-critical workloads

• Deep experience with data + database systems: internals, optimization, scalable schema design, and modeling complex domains

• Strong systems instincts—distributed systems, concurrency, fault tolerance, and performance tuning

• Experience running cloud infra in production with modern tooling + strong observability habits

• Comfort spanning layers: storage compute APIs deployment

Responsibilities:

• Build highly concurrent systems that process thousands of user requests simultaneously while scheduling and optimizing response times across multiple model endpoints

• Design and implement core database architecture to handle complex enterprise data models and our novel company representations at scale

• Create efficient ETL pipelines and integration layers that transform diverse financial data sources (ERPs, CRMs, Excel) into unified, queryable schemas

• Develop robust caching strategies, data access patterns, and middleware solutions to ensure fast, reliable data delivery between frontend and agent infrastructure

• Build monitoring, observability, and debugging systems to maintain performance and reliability as we scale to larger enterprises

Education Requirements:

• CS, Math, or Engineering degree or equivalent experience

Experience Requirements:

• Quality experience building production AI/ML systems—deploying models at scale, ideally in complex, data-intensive domains

• Deep experience with modern agent frameworks, LLMs, and AI systems: fine-tuning, retrieval augmentation, tool use, or agentic architectures

• Comfort working end-to-end: from implementing research ideas and prototyping architectures to deploying production systems and iterating on real customer feedback

• Ability to move between abstraction levels—designing high-level agent workflows while debugging low-level implementation details

Other Requirements:

• Strong algorithmic thinking. Demonstrated through ML research, competitive programming, mathematics, or building novel systems from scratch

Responsibilities:

• Design and implement agent architectures that enable observability, human-in-the-loop verification, and precise context control across complex financial workflows

• Build library learning systems that reduce LLM dependencies by learning reusable patterns for planning, code generation, and data localization from customer interactions

• Create graph-based company representations and develop efficient search methods using embeddings, semantic clustering, and custom retrieval strategies

• Build multi-modal parsers that unify diverse financial data sources (Excel, ERPs, CRMs) into coherent, queryable schemas that agents can reason over

• Implement RL and fine-tuning pipelines based on user feedback, pairwise preferences, and implicit interaction signals to improve agent performance over time

Benefits:

• Company Equity Package

• 401(k) with 3% Employer Match & Roth 401(k)

• Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options)

• 11 Paid Holidays + Unlimited PTO & Sick Time

• 16 Weeks of Paid Parental Leave

Experience Requirements:

• 6–8+ years of project management or creative operations experience

• Demonstrated ability to manage complex creative projects

• Deep understanding of creative processes

• Exceptional collaboration and communication skills

• Fluency in project management tools (Linear, Notion, etc.)

Other Requirements:

• A sensitivity to creative culture

• A passion for music, creativity, and emerging technology

• Applicants must be eligible to work in the US

Responsibilities:

• Serve as the operational backbone for Suno’s Creative Team

• Scope, schedule, and shepherd creative projects from kickoff through delivery

• Build and optimize project workflows, communication channels, and production processes

• Use project management tools (e.g., Linear) to track milestones, manage timelines, surface risks

• Facilitate cross-functional collaboration

Experience Requirements:

• 8+ years of experience as a graphic designer working across multiple disciplines

• A strong portfolio showcasing innovative thinking and executional excellence

• Proficiency in Adobe Creative Suite and Figma

• Craft-obsessed

• A proactive builder

Other Requirements:

• A multidisciplinary designer (Motion experience is a strong bonus)

• Passionate about music and culture

• Applicants must be eligible to work in the U.S.

• Full-time freelance contract role with the opportunity to convert to a full-time position

Responsibilities:

• Design and execute multidisciplinary creative work that evolves Suno’s brand

• Create innovative, high-impact design while maintaining precision and consistency

• Support artist collaborations and partnerships

• Contribute to product launches and in-product brand moments

• Translate ideas into polished, production-ready assets across digital, social, print, and motion formats

Experience Requirements:

• Java

• Spring

• Spring Boot

• Microservices

• AWS / GCP / Azure

Other Requirements:

• Kafka (Optional)

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

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:

• 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:

• 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:

• 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.

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.