Leads definition and development of custom AI SoCs for edge ML inference, driving architecture, tradeoffs, and co-design with internal teams and silicon partners. Requires deep expertise in SoC subsystems, AI accelerators, and cross-functional leadership.

Develops generative and programmatic CAD pipelines for micro-device assemblies, integrating AI-driven workflows and CAD APIs to automate design exploration and optimization. Requires CAD scripting expertise, AI knowledge, and 5+ years experience (PhD) or equivalent.

Develops novel machine learning methods for computer vision, leveraging user data insights to innovate, publish at top conferences, and deploy to production. Requires Masters/PhD in relevant field, publications, Python proficiency, and pragmatic research approach.

Builds automation, observability, and tooling for Mithril's multi-cloud GPU orchestration platform, ensuring reliability, SLOs, and capacity management. Requires 3+ years SRE experience, Kubernetes proficiency, cloud expertise, and Python/Go coding skills.

Drives adoption, support, and expansion of Onebrief’s collaboration software within U.S. Army Europe and Africa. The role requires deep military headquarters and operational-planning experience, strong customer relationship skills, technical aptitude, and an active Top Secret clearance with SCI eligibility.

AI Researcher develops and fine-tunes large multimodal models for real-time conversational avatars, modeling verbal/non-verbal behaviors with low latency. Requires PhD or equivalent, hands-on experience with VLMs, PyTorch, and deep learning.

Research Engineer building production LLM and ML systems for healthcare workflows. Requires strong ML/NLP research background with publications, production deployment experience, and proficiency in PyTorch/TensorFlow/JAX.

Manages portfolio of 200+ startup clients as primary contact, drives revenue retention through product expansion, deposit growth, and relationship building. Requires 4+ years in account management or sales, strong communication, and startup ecosystem knowledge.

The Enterprise Account Executive will own full-cycle sales for AI-native observability solutions, building pipeline and closing complex, high-value enterprise deals. The role requires technical sales experience in observability, infrastructure, or data platforms and the ability to engage engineering, SRE, and data leaders.

Drives enterprise sales of AI-native denial management platform to healthcare providers, hospitals, and health systems. Owns full sales cycle including prospecting, demos, closing deals, and expansions while building C-suite relationships. Requires 3+ years healthcare sales experience.

Designs and builds polished, production-ready interfaces and scalable design systems across desktop and mobile platforms. The role requires strong React, TypeScript, Tailwind, prototyping, visual design, and interaction design skills, plus a willingness to work primarily in person in London.

Owns and grows B2B/B2C communities for AI-powered app builder, designs ambassador program, moderates channels, curates build artifacts/templates, triages product feedback, and drives engagement/retention through data-informed strategies.

Owns high-value enterprise territory in US insurance, leads complex $250K-$1.5M ARR sales cycles, builds senior stakeholder relationships, and develops pipelines via outbound and partnerships. Requires proven SaaS enterprise sales track record and consultative approach.

Builds tools, frameworks, and deployment systems that improve developer productivity and reliability across automotive and cloud software platforms. Requires 5+ years of experience, bilingual English and Japanese communication, and hands-on experience with CI, build, deployment, Linux, and configuration management technologies.

Defines Juicebox's brand positioning, narrative, voice, and visual identity. Partners with marketing, sales, and leadership to execute across campaigns, content, and touchpoints in a high-growth AI SaaS company. Requires 3+ years in brand marketing or creative strategy.

Deploy and integrate Shield AI’s Hivemind autonomy software with customers, providing technical support, training, application development, and integration troubleshooting. The role requires strong software engineering and modern C++ skills, a relevant engineering or computer science degree, and 1–3+ years of industry experience depending on education.

Develops and maintains billing systems including subscription management, payment processing, and entitlements using Go backends and React frontends. Requires 4+ years SaaS experience, strong Go skills, and familiarity with Stripe and AWS.

Embeds security into product design and development lifecycle by analyzing architectures, conducting threat modeling and assessments, maturing vulnerability management, and guiding developers on secure practices. Requires 5+ years in product/application security with expertise in cloud, containers, and automation tools.

Designs, builds, and operates large-scale ML infrastructure for AI/RL research, including GPU cluster orchestration, data curation pipelines, and distributed training systems for autonomous driving and robotics.

Drives go-to-market strategies for automotive vertical by developing messaging, competitive analysis, and marketing programs to influence OEMs and suppliers. Partners with sales to generate pipeline, requiring 4+ years in automotive and engineering bachelor's.

Develops and executes validation strategies for L4 trucking autonomy modules including perception, planning, and prediction. Builds datasets, statistical/ML models, metrics, and pipelines to evaluate safety performance. Requires 3+ years in ADAS/autonomous driving and BS/MS in relevant field.

Owns end-to-end product strategy and execution for Vehicle OS platform in autonomous vehicles. Drives market analysis, engineering collaboration, customer engagement, and go-to-market for software-hardware products. Requires 5+ years PM experience and strong technical background.

Leads engineering team building data quality systems, intelligent labeling workflows, and data mining infrastructure using foundation models to accelerate autonomy development. Requires 3+ years engineering management and experience with data-centric AI.

Builds ML tools, infrastructure, and manages large datasets for end-to-end autonomy research and productionizing self-driving software. Works with AI research and engineering teams to scale GPU compute, data, and evaluation systems. Requires strong software generalist skills across ML stack.

Develops highly reliable embedded software for next-generation vehicle platforms, integrating vendor components, implementing RTOS applications, and customizing Android middleware and HAL for production computers in automotive systems. Requires 3+ years embedded experience with C/C++ and low-level hardware interfaces.

Leads embedded security architecture for vehicle platforms, implementing secure boot, HSM integration, and cryptographic protections. Requires 5+ years experience, expertise in embedded security, and programming in C/C++/Python.

Builds and maintains large-scale cloud infrastructure for simulation workloads across AWS, GCP, and Azure. Requires 3+ years experience with Kubernetes, Docker, Golang/Python/C++, and container orchestration for high-reliability deployments.

Leads field deployments and integrations of AI-driven autonomy systems on heavy equipment and industrial vehicles at customer sites. Requires 3+ years experience with off-road vehicle tech, hands-on hardware/software troubleshooting, and on-site customer collaboration in construction/mining environments.

Develops scalable backend telematics systems to process real-time data from millions of connected devices, using microservices, streaming pipelines with Kafka/Spark, and cloud infrastructure. Requires 4+ years backend experience in Go/C++/Python and expertise in data processing, Kubernetes, and DevOps.

Performs offensive security testing, penetration assessments, and risk analysis on vehicle software platforms and embedded systems. Collaborates with engineering teams to design secure architectures and implement mitigations for automotive products.

Develops and deploys generative ML techniques for production-grade sensor simulation (Lidar, Radar, Cameras) in autonomous systems. Collaborates with research, rendering, and physics teams; requires 5+ years ML experience, Bachelor's in CS, and expertise in large models and 3D geometry.

Develops core middleware components and services for software-defined vehicle platform using C++, focusing on communication protocols, AUTOSAR Adaptive clusters, networking, and system management. Requires 5+ years experience, strong C++ skills, and BS in CS or related field.

Conducts cutting-edge research in reinforcement learning, self-play RL, VLA post-training, and closed-loop RL for autonomous driving and robotics. Requires strong research record with publications, MSc/PhD in ML/CV, and expertise in Python, PyTorch, computer vision, and robotics.

Develops and deploys embedded ML systems and on-device multimodal LLMs for Android Automotive platforms, optimizing for edge constraints like latency and safety. Requires 3+ years shipping ML on embedded/mobile platforms, C++ proficiency, and Android expertise.

Provides first-line technical support, handles user onboarding/offboarding, and designs scalable IT infrastructure. Requires 3+ years in IT operations, multi-OS support, networking knowledge, and CompTIA Security+.

Partners cross-functionally to engage automotive customers, conduct discovery sessions, host workshops, develop tailored solutions with Product/Engineering, and plan revenue strategies. Requires 5+ years automotive experience, bachelor's degree, and strong project management skills.

Develops ML-first behavior prediction modules to forecast road user motions and interactions for autonomous systems. Requires 3+ years experience with deep learning end-to-end cycles, C++/Python fluency, and collaboration with perception/planning teams.

Solutions Architect manages complex engineering projects for automotive customers, focusing on vehicle platforms, ADAS, and software-defined vehicles. Defines milestones, coordinates teams, ensures technical alignment, and drives problem-solving with 3+ years in vehicle software development required.

Defines and manages safety architecture, requirements, and analysis (FMEA, FTA, STPA) for L4 autonomous trucking software/hardware. Requires 3+ years system safety experience, automotive standards expertise (ISO 26262), and engineering background in ADAS/autonomy.

Builds scalable backend services, APIs, and data pipelines for remote assistance platform enabling real-time communication with autonomous vehicles. Requires 3+ years experience with Go/Python, AWS, Kubernetes, and distributed systems.

Designs and implements deterministic, safety-critical motion planners for autonomous vehicle fallback systems, ensuring safe behavior under uncertainty. Requires 5+ years in AV/robotics motion planning, C++ proficiency, and data-driven evaluation skills.

Develops validation toolset software for autonomous vehicle systems, building features for data ingestion, KPI analysis, coverage measurement, and ML-based failure detection across cloud, hybrid, and on-prem. Requires 3-6 years experience with Python, Go, React, containerization, and data modeling.

Develops low-speed motion planning and control systems for autonomous vehicles, implementing modules for accurate navigation, characterizing vehicle dynamics, and applying optimal control techniques like MPC and MPPI. Requires 3+ years experience with C++, control theory, and real-vehicle testing.

Conducts research in reinforcement learning and VLA post-training for robotics and autonomous systems, focusing on dexterous manipulation. Publishes at top conferences and deploys algorithms to real-world products. Requires MSc/PhD, strong publications, and expertise in Python, PyTorch, CV, robotics.

Leads engineering team building scalable behavior systems for autonomous vehicles across cars, trucks, mining, construction, and offroad. Owns strategy, architecture, and delivery of safety-critical algorithms; requires 5+ years in robotics/autonomy and team management experience.

Optimizes HR systems and workflows using tools like Rippling and Greenhouse, manages employee rotations and mobility programs, ensures compliance, and delivers data-driven People insights in a high-growth tech environment. Requires 3+ years HR/People Ops experience.

Builds large-scale data processing pipelines and ML infrastructure to automate data curation, model training, and iteration for autonomous vehicles using real-world and simulation data. Requires 3-5 years experience in data/ML infra, Python, and frameworks like Spark/Airflow/Kafka.

Manages employee lifecycle programs from onboarding to offboarding, optimizes processes and documentation for scaling, owns HR policy compliance, and analyzes people data to drive improvements. Requires 5+ years in people ops or HR with strong program management.

Builds scalable data platform for physical AI insights, handling ingestion, querying, visualization, agentic analytics, and governance for autonomy engineers. Requires 3+ years in data infrastructure, distributed systems, and backend fundamentals.

Secures multi-cloud infrastructure (AWS, Azure, GCP, OCI) with emphasis on Kubernetes hardening, IAM enforcement, CSPM using Wiz, and IaC security. Requires 5+ years experience, deep AWS and Kubernetes security expertise.