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Job DescriptionField AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Join a team dedicated to redefining the way humans and robots collaborate. As a DevOps Infrastructure Engineer, you will have a unique opportunity to shape the infrastructure that powers the next generation of robotics systems. This is a chance to combine technical expertise with innovation, creating robust, scalable, and secure platforms that support real-world robotics applications. In this role, you’ll play a critical part in designing and managing infrastructure for robotics control and monitoring, ensuring seamless operations and a great user experience.What You Will Get To Do • Architect, deploy, and manage cloud and on-premises (on-robot) infrastructure to support robotics operations and monitoring systems., • Develop and maintain scalable CI/CD pipelines to ensure efficient development and deployment cycles., • Implement and manage observability solutions to monitor system performance, diagnose issues, and ensure reliability., • Optimize infrastructure for real-time robotics applications, focusing on low latency, high availability, and robust fault tolerance., • Implement and enforce best practices for infrastructure security, including secure communication between robots and backend systems., • Automate routine tasks, improve processes, and enable rapid scaling of infrastructure to meet growing demands., • Collaborate closely with software engineers, robotics experts, and other stakeholders to build environments that foster innovation and efficient workflows.What You Have, • 3+ years of experience in a DevOps, Infrastructure, or SRE role, managing and scaling production systems., • Expertise with cloud platforms like AWS, Azure, or GCP, as well as containerization tools such as Docker and Kubernetes., • Hands-on experience with Infrastructure-as-Code (IaC) tools like Terraform, Pulumi, or Ansible., • Strong knowledge of networking concepts, system administration, and infrastructure monitoring., • Proven ability to troubleshoot and optimize real-time, distributed systems.What Will Set You Apart, • Experience working with robotics frameworks (e.g., ROS), IoT platforms, or real-time data pipelines. We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.

Job DescriptionField AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. About the Job We are looking for a software integration and release engineer with a passion for delivering dependable robotics software. You’ll bring code from multiple teams together smoothly, keep repositories healthy and organized, and run predictable build/test pipelines so changes ship with confidence. Using Git, GitHub, Docker, and Linux, you’ll plan and execute releases, publish and promote artifacts, and ensure every release is traceable, well‑documented, and reversible when needed. You’ll partner with developers, QA, and operations to surface issues early, streamline reviews and approvals, and continuously improve the speed and quality of our delivery.What You’ll Get To Do • Release & Branch Management, • Define and run branching and release strategies; maintain branch protection and review/approval policies., • Plan regular release trains; manage tagging, versioning, and clear release notes., • Audit backports/cherry‑picks and keep supported version/EOL schedules clear and documented., • Build, Test & Delivery (CI/CD), • Operate reliable build/test pipelines (nightly and continuous) on Linux; ensure fast feedback and green builds., • Promote Docker artifacts safely across environments with clear gates and rollback options., • Measure and improve pipeline performance and reliability (caching, concurrency, flaky‑test reduction)., • Repository Health & Collaboration, • Keep repositories organized and consistent (conventions, templates, ownership); track build health and reduce flakiness., • Partner across teams to triage integration issues early and streamline code reviews., • Maintain contributor guidelines and lightweight checklists that speed onboarding., • Security & Compliance, • Encourage secure‑by‑default practices (dependency hygiene, secrets handling); keep releases auditable and traceable., • Maintain documentation of decisions, approvals, and release checklists., • Coordinate periodic release‑readiness reviews and keep runbooks/rollback playbooks current.What You Have, • 5+ years in release engineering/build‑release/DevOps on Linux., • Expert Git & GitHub (branch protection, rulesets, CODEOWNERS, environments, merge queues, required reviews/status checks)., • GitHub Actions proficiency: reusable/composite workflows, self‑hosted Linux runners, matrix builds, caching, artifacts., • Docker expertise: multi‑stage builds, GHCR, immutable tags, promotion across environments., • Strong repo hygiene and branching strategies (develop, release branches); semantic versioning and GitHub Releases., • Automated testing wired into CI (unit/integration/e2e) with gating via required checks., • Supply‑chain practices using GitHub: Dependency Review, Dependabot, secret scanning, CodeQL; SBOM/provenance in releases., • Bash and GNU/Linux tooling for build/automation; Makefiles; experience tracking DORA metrics., • Clear communication and coordination skills for cross‑functional releases.The Extras That Set You Apart, • GitHub Enterprise admin experience (fine‑grained permissions, audit log, SSO/SAML)., • Operated release trains at scale across multiple repos or a monorepo using merge queues., • Optimized Actions performance/cost (actions‑cache, concurrency controls, reusable workflows, matrix strategy)., • Built multi‑arch Docker images (amd64/arm64) on Linux self‑hosted runners with buildx/QEMU., • Designed rollback/backport playbooks and improved DORA metrics (lead time, MTTR, change failure rate)., • Implemented GitHub provenance attestations and SBOM export integrated into releases. We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.

Job DescriptionField AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. About the Job We are looking for a Robotics Platform Engineer (DevOps) with a passion for robotics and embedded systems to design and maintain the infrastructure that powers our next-generation robotic platforms — from agile legged robots and advanced humanoids to full-scale off-road autonomous vehicles. You will build and optimize CI/CD pipelines for Python, C, C++ and ROS/ROS2 projects, manage deployments across diverse hardware targets, and integrate both software-in-the-loop (SIL) and hardware-in-the-loop (HIL) testing. This role is about building systems that scale seamlessly to a global fleet of hundreds of thousands of robots operating in the field, delivering reliable, secure, and rapid software updates at massive scale.What You’ll Get To Do • CI/CD Pipeline Development & Maintenance, • Design, build, and maintain robust CI/CD pipelines for Python, C, C++ and ROS/ROS2 projects targeting embedded platforms, using GitHub Actions and other modern CI/CD platforms (e.g., TeamCity, Jenkins, or similar)., • Automate build, packaging, and deployment processes using shell scripting to ensure fast, reliable releases., • Implement quality gates, static analysis, and automated tests (including Python-based validation scripts) to maintain high code quality., • Cross-Platform Build & Deployment, • Develop and manage cross-compilation toolchains (e.g., GCC toolchain) and containerized build environments for NVIDIA GPUs or similar targets., • Use catkin, CMake, or other comparable build systems to support ROS-based projects., • Integrate Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) testing into the deployment workflow, leveraging Python for test orchestration, simulation control, and result parsing., • Optimize build processes for performance, reproducibility, and minimal downtime., • Infrastructure & Automation, • Manage dedicated build servers, runners, and artifact storage using Infrastructure as Code (IaC) tools (e.g., Terraform, Ansible, or similar)., • Implement system monitoring, logging, and alerting using a variety of modern observability tools., • Continuously improve deployment reliability, security, and scalability., • Collaboration & Continuous Improvement, • Work closely with robotics, perception, and controls teams to align infrastructure with project goals., • Gather feedback from developers to streamline workflows and reduce bottlenecks., • Stay up to date with DevOps best practices and bring innovative solutions to the team.What You Have, • Proven experience in CI/CD pipeline development for C/C++ software in embedded or robotics environments, using GitHub Actions or similar CI/CD platforms (e.g., TeamCity, Jenkins)., • Strong skills with build systems such as catkin, CMake, or equivalent, and experience with cross-compilation using the GCC toolchain or similar., • Proficiency in Python and shell scripting for automation, testing, and deployment workflows., • Experience with ROS/ROS2 and its build ecosystem (catkin, colcon, or similar)., • Hands-on experience deploying to embedded targets (e.g., NVIDIA Jetson, Intel NUC, or comparable hardware)., • Familiarity with version control best practices (Git workflows, branching strategies, CI triggers)., • Experience with containerization (Docker, Podman, or similar) for reproducible builds., • Understanding of networking and remote deployment fundamentals.The Extras That Set You Apart, • Experience with Yocto Project or other embedded Linux build frameworks., • Prior work in robotics-focused DevOps environments., • Knowledge of GPU-accelerated deployments and performance tuning on NVIDIA or similar platforms., • Experience with automated testing frameworks for embedded systems, including Python-based SIL and HIL test suites integrated with CI pipelines., • Contributions to open-source robotics or DevOps tooling., • Familiarity with DevSecOps practices and secure build/deployment pipelines., • Experience scaling CI/CD infrastructure with distributed runners, caching, and artifact repositories. We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.

Job DescriptionField AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. About the Job We’re building the estimation and navigation stack that keeps our legged and humanoid robots balanced, aware, and mission-ready—indoors and out, with or without GPS. You’ll design and ship real-time estimators and fusion pipelines that combine IMU and GNSS/GPS/RTK with legged-robot proprioception (joint encoders, torque/force & foot-contact sensors) and exteroception (cameras, LiDAR, radar/UWB). You’ll take algorithms from log-replay to rugged field performance on embedded/Linux targets, partnering closely with controls, perception, and planning.What You’ll Get To Do • State Estimation for Legged/Humanoid Bases, • Design and tune EKF/UKF error-state filters for floating-base pose/velocity, COM, IMU biases, and contact states., • Fuse IMU, joint encoders, foot F/T & contact sensors; implement ZUPT/ZARU, slip handling, and kinematic/dynamic constraints., • Expose clean interfaces (frames/timestamps/covariances) to whole-body control and footstep planning., • Perception-Aided Localization & Mapping, • Stand up VIO/LIO pipelines (stereo/RGB-D + LiDAR) for GPS-denied operation, with map-based relocalization and loop closure., • Add global aids—GNSS/RTK, UWB beacons, prior maps—and blend filtering with factor-graph smoothing when advantageous., • Manage drift/consistency with robust outlier rejection, gating, and integrity monitoring., • Calibration, Timing & Robustness, • Own time sync (PTP/Chrony/hardware triggers) and multi-sensor calibration (Allan variance for IMU, camera-IMU/LiDAR-IMU/base extrinsics, encoder offsets)., • Build health monitoring, FDIR, and graceful-degradation behaviors for harsh terrain and intermittent sensors., • Establish KPIs (ATE/RTE, NEES/NIS, availability) and automated regression tests., • Tooling, Simulation & Field Operations, • Create log-replay pipelines, datasets, and dashboards for rapid iteration and performance tracking., • Validate in sim (Gazebo, Isaac etc) and in the field (stairs, rubble, ramps, slippery floors)., • Optimize and deploy on embedded targets (Jetson/x86), profiling latency, memory, and numerical stability.What You Have, • Strong fundamentals in estimation & sensor fusion (EKF/UKF, error-state, observability/consistency, covariance tuning)., • Hands-on with IMUs (strapdown mechanization, bias/scale, coning/sculling) and GNSS/GPS/RTK (loosely vs tightly coupled INS)., • Experience with legged-robot proprioception: joint encoders, foot contact/pressure, torque/force sensors; using kinematic/dynamic constraints in estimators., • Proficiency in modern C++ (14/17/20) on Linux; Python for tooling, analysis, and log processing., • Comfort with SO(3)/SE(3), Lie-group math, and non-linear optimization., • Integration with at least two of: cameras (VIO), LiDAR (LIO/scan-matching), UWB, magnetometer/barometer, radar., • Familiarity with ROS 1/ROS 2, CMake/Bazel, Docker, CI/CD, and reproducible experiments., • Proven track record shipping research-to-production algorithms on real robots with field test cycles., • BS/MS/PhD in Robotics/EE/CS/AE or equivalent practical experience.The Extras That Set You Apart, • Factor-graph SLAM/VIO (GTSAM/iSAM2) and non-linear solvers (Ceres/g2o); hybrid filtering + smoothing in production., • Whole-body/legged tooling, momentum/COM filters, terrain estimation, and contact-rich datasets., • Robustness techniques: adaptive noise models, M-estimators/gating, data association, map-based relocalization., • Experience with GPS-denied navigation at scale (warehouses, construction, urban canyons)., • Real-time/performance chops (RT-PREEMPT, lock-free pipelines, deterministic logging, on-robot telemetry)., • Embedded/GPU acceleration (Nvidia/CUDA) for perception-aided estimation. We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.

Job Description The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview With the growth of our iOS app, being the #18 productivity app in the App Store category and also our recent recognition as Apple's 2025 Design Award for inclusivity, we find the need for a Senior iOS Engineer to help us support the new user base as well as work on new and exciting projects to push our missing forward. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. Our interview process involves several technical interviews and we aim to complete them within 1 week. What You'll Do • Opportunity to lead key engineering and product decisions, • Actively shipping production code for the Speechify iOS app, • Work within a dedicated product team, • Participate in product discussions to shape the product roadmap, • Experience. You've worked on products that scaled to a large user base, • Track record. You have worked on various products from inception to decent traction. You have been responsible for engineering the product, • Customer obsession. We expect every team member whose responsibilities directly impact customers to be constantly obsessed about providing the best possible experience, • Product thinking. You make thoughtful decisions about the evolution of your product and support internal teams and designers into taking the right direction, • Speed. You work quickly to generate ideas and know how to decide which things can ship now and what things need time, • Focus. We're a high-growth startup with a busy, remote team. You know how and when to engage or be heads down, • Swift Programming Language, • SwiftUI experience, • Experience in Multithreading Programming, • Working with CI/CD infrastructure, • Experience with Fastlane, • SOLID principles, the ability to write every single class according to SOLID, • A fast-growing environment where you can help shape the company and product, • An entrepreneurial crew that supports risk, intuition, and hustle, • The opportunity to make a big impact in a transformative industry, • A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture, • Work on a product that millions of people use and where daily feedback includes users sharing that they cried when they first found the product because it was so impactful on their lives, • Support people with learning differences like Dyslexia, ADD, Low Vision, Concussions, Autism, and Second Language Learners, and give reading superpowers to professionals all over the world Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Job DescriptionField AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. About the Job As a Forward Deployed Engineer at Field AI, you’ll be at the forefront of bringing our autonomous systems to life in the real world, owning deployment, integration, and ongoing performance in the field. This role is equal parts engineering and problem-solving. You’ll work hands-on with both customers and our internal teams to ensure successful operations, rapidly incorporate field feedback to improve reliability and performance, and drive adoption so our systems become mission-critical from day one. If you thrive in fast-paced, high-impact environments and want to see your work directly enable the future of autonomy, this is the role where you’ll make it happen.What You’ll Get To Do • Field Deployment & Operations, • Lead the end-to-end deployment of autonomous systems in customer environments., • Ensure systems are configured, tested, and operational under real-world conditions., • Troubleshoot and resolve technical issues quickly to maintain uptime and mission success., • System Reliability & Performance, • Gather and analyze field feedback to identify areas for improvement., • Work closely with product and engineering teams to drive enhancements into the core system., • Implement monitoring and diagnostic tools to ensure sustained reliability., • Customer Enablement & Adoption, • Partner with customer teams to train and support operators in achieving operational readiness., • Translate complex technical concepts into clear, actionable workflows., • Act as a trusted advisor to accelerate adoption and long-term value realization., • Cross-Functional Collaboration, • Serve as the voice of the customer, bringing field insights back to engineering and product teams., • Collaborate across software, hardware, and AI research groups to deliver integrated solutions., • Contribute to building scalable deployment practices and playbooks for future rollouts.What You Have, • Master’s degree or higher in Robotics, Computer Science, Electrical/Mechanical Engineering, or a related technical field (or equivalent practical experience)., • 2-3 years of experience in software engineering, systems integration in Field Robotics industry., • Experience in field deployment of complex technical systems., • Proficiency in Python, C++, Git, ROS., • Familiarity with Linux-based systems, containerization, and cloud infrastructure., • Strong troubleshooting and debugging skills across software, hardware, and networking layers., • Self-starter mindset with the ability to thrive in ambiguous and rapidly changing environments.The Extras That Set You Apart, • Experience deploying, operating, or maintaining mission-critical systems in real-world environments., • Experience using Jira or Wrike or Confluence or other program management software tools, • Ability to work directly with customers in high-stakes, fast-paced settings, translating needs into technical solutions., • Excellent communication skills, with the ability to explain technical concepts to non-technical users. We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.

Job Description Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Job Summary: As a System Administrator, you will be responsible for maintaining a robust, secure, and high-performance IT infrastructure that powers our R&D, simulation, and deployment environments. You will support a hybrid workforce of developers, roboticists, ML engineers, and hardware teams working with large datasets, compute-heavy workloads, and real-time systems.What You'll Get To Do • Administer and support workstations, servers, network devices, and IT systems in a Linux-heavy environment., • Manage user accounts, access controls, and permissions across local and hybrid environments., • Maintain on-prem and integrated storage systems, version control infrastructure (e.g., Git, GitLab), and build environments., • Collaborate with engineering teams to support dev environments (e.g., Docker, ROS, CI/CD tools), • Monitor and tune system and network performance, ensuring high availability and reliability., • Support endpoint protection, system hardening, vulnerability scanning, and patch automation., • Manage remote access using modern zero trust and secure web gateway solutions (e.g., Cloudflare), • Assist with user onboarding/offboarding and handle IT service tickets., • Ensure backup routines, disaster recovery readiness, and alignment with IT security policies., • Support lab environments and help set up specialized or embedded hardware.What You Have, • Bachelor’s degree in IT, Computer Science, or equivalent hands-on experience, • 3+ years of technical experience in Linux system administration (Ubuntu preferred), • Strong scripting and automation skills (Bash, Python, Ansible), • Solid grasp of networking (TCP/IP, DNS, DHCP, VLANs) and LAN/WAN configuration, • Familiar with development toolchains: Git, Docker, Jupyter, VSCode, and continuous integration workflows, • Strong communication, documentation, and troubleshooting skills., • Must be a U.S. Citizen (Federal Projects).What Will Set You Apart, • Familiarity with security and IT operations platforms for endpoint detection and response, device management, threat monitoring, application control, and firewall security, • Experience with network segmentation and switch-level VLAN management, • Experience with infrastructure-as-code, Kubernetes, or high-performance compute clusters We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.

Job DescriptionField AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. About the Job At Field AI, we’re building robots that don’t just sense the world, they reason about it and make intelligent decisions in real time. As a Robotics Autonomy Engineer - Reasoning, you’ll design and deploy scalable, interpretable world models and decision-making systems that let our robots operate safely and intelligently in dynamic, uncertain environments. You’ll fuse multi-modal sensing with semantics and risk analysis, enable real-time decision-making under uncertainty, and embed transparency, adaptability, and fail-safes into the autonomy stack. This is a role for an engineer who thrives at the frontier of AI and robotics—someone excited to push beyond perception into true reasoning, and to see their work come alive in robots that adapt and succeed in the real world.What You’ll Get To Do • World Modeling & Representation, • Design and iterate on scalable, interpretable spatio-temporal-semantic world models., • Fuse multi-modal sensing with semantics and embedded risk analysis., • Ensure real-time performance with low latency in dynamic, uncertain environments., • Reasoning & Decision-Making, • Develop reasoning and decision-making systems that remain reliable under uncertainty and enable success in complex real-world missions., • Validate reasoning systems across challenging edge-case scenarios (e.g., sudden obstacles, degraded sensing)., • Integrate reasoning with perception and control for closed-loop autonomy at high mission success rates., • Safety, Transparency & Adaptability, • Implement diagnostic layers that log reasoning steps for interpretability and post-mission analysis., • Develop fail-safe behaviors that trigger under uncertain or conflicting world-state estimates., • Ensure adaptability to new environments while always prioritizing safety.What You Have, • Master’s degree or higher in Robotics, Computer Science, Electrical/Mechanical Engineering, or a related field, with focus on autonomy, reasoning, or decision-making., • Strong foundation in algorithms for reasoning and decision-making under uncertainty (e.g., probabilistic methods, motion planning, decision theory, foundation models)., • Demonstrated experience building and deploying autonomy systems in simulation and/or real-world robotic platforms., • Proficiency in modern machine learning techniques relevant to robotics (e.g., reinforcement learning, foundation models, representation learning)., • Strong software engineering skills in C++ and Python, with experience developing real-time robotics or AI systems., • Track record of research contributions (e.g., publications, open-source projects) or demonstrated ability to advance state-of-the-art methods into practical systems.The Extras That Set You Apart, • Background in semantic reasonings, human-robot interaction, or multi-agent system., • Familiarity with ROS or similar middleware for robotics development and deployment., • Knowledge of hardware-aware optimization and acceleration of autonomy stacks (e.g., real-time constraints, GPU/TPU programming). We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.

Job Description The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. Our interview process involves several technical interviews and we aim to complete them within 1 week. What You'll Do • Actively ship production code to the web products, • Work closely with your dedicated product team, • Participate in product discussions to shape the product roadmap, • Experience. You've built and ship products that have scaled to thousands or millions of users, • Customer obsession. You are passionate about the field and have the desire to build high quality product that serves customer needs, • Speed. You work quickly to generate ideas and know how to decide which things can ship now and what things need time, • Focus. We're a high-growth startup with a busy, remote team. You know how and when to engage or be heads down, • Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs, • A fast-growing environment where you can help shape the culture, • An entrepreneurial crew that supports risk, intuition, and hustle, • A hands-off approach so you can focus and do your best work, • The opportunity to make an impact in a transformative industry Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Job DescriptionField AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. We are seeking a Physics-Informed Machine Learning (PIML) Engineer to join our innovative team focused on advancing risk-aware, autonomous systems. This role blends cutting-edge machine learning techniques with a strong foundation in physics, with an emphasis on safety, uncertainty quantification, and system robustness in real-world applications. The ideal candidate will work on integrating physical laws and constraints into machine learning models to create systems that learn from fewer data points while maintaining high accuracy and reliability in critical environments.What You Will Get To Do • Develop hybrid physics-ML models that combine theoretical physics-based components with data-driven elements to create more accurate and generalizable robotics autonomy solutions, • Design physics-informed architectures (e.g., physics-informed neural networks or universal differential equations) to solve complex robotic systems while respecting physical constraints like conservation of momentum, contact dynamics, and joint limits, • Lead research initiatives in physics-informed learning for robot control, combining model-based and model-free approaches, solving forward and inverse problems in robotic systems using PIML, • Create discrepancy models to bridge theoretical physics models with empirical data, analyzing the convergence, generalization, and error estimation of PIML models, ensuring stability and robustness in deployment., • Design and evaluate novel neural network architectures that respect physical laws and constraints, • Build and optimize differentiable simulation pipelines for robot trajectory and control policy optimization, addressing complex physical constraints such as uncertainty in perception systems., • Develop uncertainty-aware models combining physical knowledge with probabilistic state estimation (e.g., SDEs, Bayesian inference) for improved perception and intelligence., • Implement multi-scale modeling and domain decomposition to address large-scale challenges in autonomous robotics., • Collaborate with robotics teams to deploy physics-informed models in real-world autonomous systems., • Ph.D. or M.S. in Computer Science, Physics, Applied Mathematics, or related field with focus on robot learning and physical systems, • Track record of combining physics-informed machine learning techniques, with practical experience applying them to robotic systems, • Experience integrating physical constraints into machine learning architectures, • Strong understanding of POMDPs, differential equations, numerical methods, and computational physics, • Proficiency in implementing both physics-based and machine learning models, • Knowledge of conservation laws, symmetries, invariances, and conservation laws relevant to robotic systems (e.g., SE(3) equivariance, Lie groups, Noether’s theorem to encode symmetries and invariances into geometric deep learning models for robotics), • Experience with differentiable programming frameworks (PyTorch, JAX) and robotics middleware We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.

Job DescriptionField AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Hardware Team:The Hardware Team at Field AI develops perception and compute payloads that power autonomous robotics systems in complex real world environments. Our work spans the full hardware stack designing and integrating sensing systems (LiDAR, camera, TOF, IMU, GPS), embedded compute (CPUs, GPUs, microcontrollers, Linux, ROS), electrical systems (power distribution, communication), and mechanical components (structures, thermal regulation, ingress protection). The team focuses on both development (research, design, prototyping, testing) and operations (production, testing, QA, debugging). We’re a small, fast-moving team, and we care deeply about improving: 1) core capabilities, 2) system reliability, 3) system scalability. As a growing team we are also building operational systems and procedures from the ground up. Mechanical Systems Role:As a Mechanical Engineer on the Hardware Team at Field AI, you will contribute to the design and implementation of mechanical systems that house and support sensing and compute platforms in real-world environments. From ruggedized enclosures to thermal management to manufacturability, your work will be critical to ensuring our systems operate reliably in the field. Responsibilities may span the full lifecycle from CAD through production to field support. You will collaborate closely with electrical, compute, and systems engineers to build tightly integrated solutions ready for deployment in challenging field environments. Additionally while your focus will be on mechanical systems you will likely contribute across all hardware domains.What You Will Get To Do • Mechanical System Design, • Structures: Design and model mechanical structures including external enclosures, internal compute frames, and load-bearing chassis., • Mounts: Design and validate robust sensor mounts, payload attachment points, and mechanical interfaces., • Ingress Protection: Implement IP-rated solutions with gaskets, seals, membranes, and coatings to meet water/dust ingress standards., • Thermal Management: Incorporate thermal mitigation strategies such as fans, heat sinks, conductive paths, and airflow guides., • Mass & Volume Budgets: Ensure adherence to payload constraints, including tight volumetric envelopes and weight limitations., • Mechanical System Implementation, • CAD & Simulation: Build detailed SolidWorks CAD assemblies. Run FEA and thermal simulations to validate strength, durability, and heat dissipation., • Material & Component Selection: Choose materials and components to meet mass, strength, thermal, and manufacturability constraints.Design for Production: Apply DFM, DFA, DFS principles throughout the design lifecycle., • System Testing: Conduct mechanical load testing (shock, vibration), thermal validation, ingress tests, and sensor alignment assessments., • Prototyping: Rapidly iterate on prototypes for fit checks, thermal evaluations, and integration trials., • Documentation & Budgets: Generate mechanical drawings, GD&T annotations, BOMs, and assembly instructions for fabrication and QA. Manage weight, volume, and thermal budgets., • Mechanical System Production & Servicing, • Build: Work with vendors and contract manufacturers to procure mechanical hardware. Develop QA checks for incoming units. Support payload integration and scaling., • Debug: Investigate mechanical failures, deformation, and environmental weaknesses during testing and deployments., • Monitor: Develop protocols for monitoring the system mechanical health and loads.What You Have, • Education: B.S., M.S., or Ph.D. in Mechanical Engineering, Mechatronics, or related field., • Experience Level: We are recruiting across a wide range of experience levels from entry level engineers to senior and staff engineers., • CAD Expertise: Proficient with SolidWorks or equivalent mechanical CAD platforms., • Thermal & Structural Analysis: Familiarity with FEA and thermal modeling tools., • Field-Ready Design: Experience designing hardware that survives vibration, shock, thermal cycling, and environmental exposure., • Manufacturing Knowledge: Experience designing for CNC, sheet metal, additive manufacturing, and assembly workflows., • Mechanical Systems Integration: Experience working across teams to integrate mechanical systems with compute, sensors, and power electronics., • Lab Skills: Comfort with mechanical debugging, thermal test setups, vibration tables, and ingress testing., • Cross Functional Robotic Skills: Ability to contribute electrical, sensing, and embedded computing work to deliver robust integrated systems.What Will Set You Apart, • Scaling: Experience taking systems from prototype to large scale production., • Field Environments: Experience developing systems for harsh field environments., • Deployed Robotics: Experience working on robotics deployed in real world settings such as autonomous vehicles, drones, or ruggedized robots., • Systems Level Robotics: Fluency across mechanical, electrical, and software systems. We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.

Job DescriptionWho are We? Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Learn more at . About the Job Our Field Foundation Model (FFM) powers a global fleet of autonomous robots that capture massive streams of multimodal data across diverse, dynamic environments every day. As part of the Insight Team our mission is to transform this raw, multimodal data into actionable insights that empower our customers and engineers to deliver value. Field-insight Foundation Model (FiFM) is at the core of how we transform multimodal data from autonomous robots into actionable insights. As an AI/ML Engineer on the FiFM team, you will drive research and model development for one of Field AI’s most ambitious initiatives. Your work will span computer vision, vision-language models (VLMs), multimodal scene understanding, and long-memory video analysis and search, with a strong emphasis on agentic AI (tool use, memory, multimodal retrieval-augmented generation).This is a full-cycle ML role: you’ll curate datasets, fine-tune and evaluate models, optimize inference, and deploy them into production. It’s a blend of applied research and engineering, requiring creativity, rapid experimentation, and rigorous problem-solving. While FiFM is your primary focus, you’ll also contribute to broader perception and insight-generation initiatives across Field AI.What You’ll Get To Do: • Train and fine-tune million- to billion-parameter multimodal models, with a focus on computer vision, video understanding, and vision-language integration., • Track state-of-the-art research, adapt novel algorithms, and integrate them into FiFM., • Curate datasets and develop tools to improve model interpretability., • Build scalable evaluation pipelines for vision and multimodal models., • Contribute to model observability, drift detection, and error classification., • Fine-tune and optimize open-source VLMs and multimodal embedding models for efficiency and robustness., • Build and optimize Multi-VectorRAG pipelines with vector DBs and knowledge graphs., • Create embedding-based memory and retrieval chains with token-efficient chunking strategies.What You Have:, • Master’s/Ph.D. in Computer Science, AI/ML, Robotics, or equivalent industry experience., • 2+ years of industry experience or relevant publications in CV/ML/AI., • Strong expertise in computer vision, video understanding, temporal modeling, and VLMs., • Proficiency in Python and PyTorch with production-level coding skills., • Experience building pipelines for large-scale video/image datasets., • Familiarity with AWS or other cloud platforms for ML training and deployment., • Understanding of MLOps best practices (CI/CD, experiment tracking)., • Hands-on experience fine-tuning open-source multimodal models using HuggingFace, DeepSpeed, vLLM, FSDP, LoRA/QLoRA., • Knowledge of precision tradeoffs (FP16, bfloat16, quantization) and multi-GPU optimization., • Ability to design scalable evaluation pipelines for vision/VLMs and agent performance.The Extras That Set You Apart:, • Experience with Agentic/RAG pipelines and knowledge graphs (LangChain, LangGraph, LlamaIndex, OpenSearch, FAISS, Pinecone)., • Familiarity with agent operations logging and evaluation frameworks., • Background in optimization: token cost reduction, chunking strategies, reranking, and retrieval latency tuning., • Experience deploying models under quantized (int4/int8) and distributed multi-GPU inference., • Exposure to open-vocabulary detection, zero/few-shot learning, multimodal RAG., • Knowledge of temporal-spatial modeling (event/scene graphs).

Job DescriptionField AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Are you passionate about robotics and software engineering? Do you thrive on creating robust algorithms and deploying cutting-edge autonomous systems in real-world scenarios? We are looking for a Robotics Full Stack Simulation Engineer to join our dynamic team. In this role, you will develop, implement, and maintain state-of-the-art autonomy software stacks, ensuring our robots navigate and perform tasks seamlessly in challenging environments. This is your chance to shape the future of robotics and work alongside a team that values innovation, hands-on expertise, and impact-driven results. If you’re a software-savvy robotics enthusiast eager to take on exciting challenges and make a tangible difference, this is the opportunity for you!What You'll Get To Do • Autonomy Engineering, • Model high-fidelity sensor noise and dynamics to improve system robustness in both simulated and real-world deployments, • Develop accurate robot dynamics models for various robot systems to support physics-aware planning and control, • Integrate diverse software modules, ensuring seamless communication and synchronization across components, • Conduct iterative testing and refinement to ensure systems meet real-world demands and constraints, • Software Integration and Testing, • Build sim-to-real workflows that tightly couple perception and control pipelines, minimizing transfer gaps, • Work extensively with ROS (Robot Operating System) to develop, test, and integrate software modules, • Conduct simulations and field tests to validate performance and optimize system behavior, • Hands-On Robotics Deployment, • Collaborate with hardware teams to ensure seamless software-hardware integration., • Travel to customer sites to deploy, calibrate, and fine-tune robotic systems in diverse and challenging real-world conditions., • Cross-Team Collaboration, • Work closely with other engineering teams to align development efforts and achieve cohesive system performance, • Communicate effectively with non-technical stakeholders to explain robotic capabilities and project progressWhat You Have, • Bachelors or Master’s in Robotics, Computer Science, Electrical Engineering, or a related field, • 2+ years of industry experience in relevant field., • Simulation Expertise in Robotics Environments: Proficient in deploying high-fidelity simulation environments (Gazebo, Isaac Sim, ROS2) for testing autonomy, sensor modeling, and control validation., • Proficiency in ROS (Robot Operating System): Experience developing and integrating robotic software solutions., • Hands-On Robotics Experience: Practical experience working with autonomous robotic systems, including testing and deployment in the field., • Strong Programming Skills: Proficiency in Python and C++ for algorithm development and system integration. Experience with GPU programming (CUDA C++, PyTorch) a plus., • Understanding of System Integration and Engineering for Autonomous Systems: Solid cross-domain knowledge across a wide range of robotic autonomy modules, including localization, perception, planning, and controls., • Willingness to Travel: Ability and eagerness to travel to customer sites for deployments, testing, and troubleshooting (up to 10% travel)., • Excellent Communication Skills: Ability to convey complex technical concepts clearly to diverse audiences.What Will Set You Apart, • Experience with real-time systems or robotics middleware., • Familiarity with sensor integration and perception algorithms., • Knowledge of machine learning techniques applied to robotics., • Exposure to industrial robotics applications in sectors like construction, mining, or manufacturing., • Experience working in harsh or outdoor environments., • Experience working with off-road vehicles / off-road driving We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.

Job Description The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. Our interview process involves several technical interviews and we aim to complete them within 1 week. What You'll Do • Actively ship production code to the web products, • Work closely with your dedicated product team, • Participate in product discussions to shape the product roadmap, • Experience. You've built and ship products that have scaled to thousands or millions of users, • Customer obsession. You are passionate about the field and have the desire to build high quality product that serves customer needs, • Speed. You work quickly to generate ideas and know how to decide which things can ship now and what things need time, • Focus. We're a high-growth startup with a busy, remote team. You know how and when to engage or be heads down, • Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs, • A fast-growing environment where you can help shape the culture, • An entrepreneurial crew that supports risk, intuition, and hustle, • A hands-off approach so you can focus and do your best work, • The opportunity to make an impact in a transformative industry Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Job DescriptionField AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Hardware Team:The Hardware Team at Field AI develops perception and compute payloads that power autonomous robotics systems in complex real-world environments. Our work spans the full hardware stack designing and integrating sensing systems (LiDAR, camera, TOF, IMU, GPS), embedded compute (CPUs, GPUs, microcontrollers, ROS, sensor drivers), electrical systems (power distribution, communication), and mechanical components (structures, thermal regulation, ingress protection). The team focuses on both development (research, design, prototyping, testing) and operations (production, testing, QA, debugging). We’re a small, fast-moving team, and we care deeply about improving: 1) core capabilities, 2) system reliability, 3) system scalability. As a growing team we are also building operational systems and procedures from the ground up. Sensor Systems Role:As a Sensor Systems Engineer on the Hardware Team, you will contribute to the design, integration, calibration, and validation of the sensing systems that underpin our autonomy stack. You will work with a diverse array of sensors—LiDARs, depth cameras, IMUs, GPS, and more—ensuring each one delivers accurate, time-synchronized, and spatially consistent data in a range of environments and operating conditions. You will collaborate closely with the autonomy, compute, electrical, and mechanical teams to build tightly integrated solutions ready for deployment in challenging field environments. Additionally, while your focus will be on sensors you will likely contribute across all hardware domains.What You Will Get To Do • Sensor System Design, • Sensor Architecture: Work across hardware and software teams to define sensing requirements. Identity, test, and select sensors such as LiDARs, depth cameras, GPS, IMUs, ToF, and other devices., • Systems Integration: Integrate sensors with electrical (USB, Ethernet, I2C, CAN, GMSL), mechanical (mounts, jigs, isolation), and software (configurations, drivers, ROS nodes) systems. Ensuring power, thermal, and protocol compatibility., • Spatial Performance: Architect system to meet spatial sampling performance requirements including spatial coverage, range, resolution, and transform accuracy., • Temporal Performance: Implement and validate synchronization strategies, triggering schemes, timestamp encoding, and end-to-end latency minimization., • Sensor System Implementation, • Performance Characterization: Evaluate sensor performance (spatial resolution, temporal drift, EMI noise, sync errors etc.). Test under real-world environmental conditions (vibration, lighting, moisture, temperature)., • Calibration: Design and execute both intrinsic and extrinsic calibrations. Build alignment rigs and calibration boards as needed., • Optimization: Tune sensor configurations (exposure, gain, filtering, frame rate, etc.) and processing pipeline (filtering etc.) for optimal performance, • Documentation: Create timing diagrams, sensor maps, coordinate transforms, and maintain all configuration files, launch scripts, driver references, and firmware states., • Sensor System Production & Servicing, • Build: Work with vendors to procure sensors. Develop QA checks for incoming units. Support payload integration and manufacturing at scale., • Debug: Conduct root cause analysis of sensor systems including issues across hardware and software boundaries., • Monitor: Develop protocols for monitoring the sensing system health, data quality, and calibration status during field deployments.What You Have, • Education: B.S., M.S. or Ph.D. in Robotics, Electrical Engineering, Engineering Physics, Physics, or a related field., • Experience Level: We are recruiting across a wide range of experience levels from entry level engineers to senior and staff engineers., • Hands-On Sensors Experience: Hands-on work with perception sensors such as LiDAR, depth cameras, IMUs, GPS., • Systems Thinking: Cross-functional collaboration experience across electrical, mechanical, and software teams., • Sensor Physics: Strong foundation in optics, signal processing, and electromagnetic wave propagation., • Lab Skills: Hands-on testing, calibration, and debugging skills (oscilloscopes, logs, vibration/thermal setups), • Communication Protocols: Experience with protocols such as USB, Ethernet, GMSL, CAN, I2C, and CSI., • Computer & Software: Experience working with ROS/ROS2, sensor drivers, coordinate transforms (TF), and timing protocols (PTP, NTP, etc.)., • Timing & Triggers: Experience with timestamping, synchronization, triggering, and latency constraints., • Calibration & Characterization: Experience designing and executing intrinsic, extrinsic, and temporal calibrations, along with sensor characterization under real-world environmental conditions., • Simulation: Experience high-fidelity simulation environments (Gazebo, Isaac Sim, RViz) for sensor modeling.What Will Set You Apart, • Scaling: Experience taking systems from prototype to large scale production., • Field Environments: Experience developing systems for harsh field environments., • Deployed Robotics: Experience working on robotics deployed in real world settings such as autonomous vehicles, drones, or ruggedized robots., • Systems Level Robotics: Fluency across software, electrical, and mechanical systems. We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.

Job Description The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview With the growth of our iOS app, being the #18 productivity app in the App Store category and also our recent recognition as Apple's 2025 Design Award for inclusivity, we find the need for a Senior iOS Engineer to help us support the new user base as well as work on new and exciting projects to push our missing forward. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. Our interview process involves several technical interviews and we aim to complete them within 1 week. What You'll Do • Opportunity to lead key engineering and product decisions, • Actively shipping production code for the Speechify iOS app, • Work within a dedicated product team, • Participate in product discussions to shape the product roadmap, • Experience. You've worked on products that scaled to a large user base, • Track record. You have worked on various products from inception to decent traction. You have been responsible for engineering the product, • Customer obsession. We expect every team member whose responsibilities directly impact customers to be constantly obsessed about providing the best possible experience, • Product thinking. You make thoughtful decisions about the evolution of your product and support internal teams and designers into taking the right direction, • Speed. You work quickly to generate ideas and know how to decide which things can ship now and what things need time, • Focus. We're a high-growth startup with a busy, remote team. You know how and when to engage or be heads down, • Swift Programming Language, • SwiftUI experience, • Experience in Multithreading Programming, • Working with CI/CD infrastructure, • Experience with Fastlane, • SOLID principles, the ability to write every single class according to SOLID, • A fast-growing environment where you can help shape the company and product, • An entrepreneurial crew that supports risk, intuition, and hustle, • The opportunity to make a big impact in a transformative industry, • A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture, • Work on a product that millions of people use and where daily feedback includes users sharing that they cried when they first found the product because it was so impactful on their lives, • Support people with learning differences like Dyslexia, ADD, Low Vision, Concussions, Autism, and Second Language Learners, and give reading superpowers to professionals all over the world Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Job DescriptionField AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. At Field AI, we are moving beyond single-agent autonomy—scaling AI coordination across fleets of robots in unstructured, high-risk environments. Our work in Field Foundation Models™ (FFMs) is enabling multi-robot decision-making, strategic coordination, and decentralized intelligence at unprecedented levels. From large-scale robotic deployments in complex environments to real-time tactical decision-making, we are pioneering multi-agent AI that is explainable, risk-aware, and field-ready. We are seeking a Multi-Robot Intelligence Research Engineer to design and implement scalable algorithms for coordination, decentralized control, and game-theoretic decision-making in multi-robot systems. This role is at the intersection of robotics, AI, and mathematical game theory, pushing the boundaries of large-scale, real-world autonomy.What You Will Get To Do • Develop fundamental algorithms for multi-agent coordination (including differentiable game theory, mean-field control, and decentralized optimization) to enable fleets of autonomous robots to operate in real-world, high-stakes environments., • Design computationally tractable formulations of multi-agent Nash equilibria, Stackelberg games, and cooperative decision-making strategies, ensuring robust and scalable decision-making across heterogeneous robotic teams., • Build predictive models for multi-agent interaction dynamics, leveraging graph-based learning and control-theoretic formulations to drive efficient coordination in dynamic, adversarial, and uncertain settings., • Develop distributed inference and control policies using neural PDEs, mean-field game-theoretic methods, and scalable stochastic optimization for real-time at-scale robotic interaction., • Bridge theory with deployment—integrate multi-agent planning, auction-based task allocation, and decentralized multiagent reinforcement learning (MARL) into hardware-in-the-loop robotic systems operating at scale., • Push the limits of explainability in multi-agent AI, ensuring tractability, convergence guarantees, and real-world feasibility while maintaining risk-aware and uncertainty-resolving decision-making., • Collaborate across teams to transition multi-agent models from high-fidelity simulations to real-world deployments, working alongside robotics engineers, AI/ML researchers, and field roboticists to ensure seamless real-world operation.What You Have, • Ph.D. in Applied Mathematics, Game Theory, Control Theory, Computer Science, or a related field, with expertise in multi-agent decision-making and coordination algorithms., • Deep understanding of game-theoretic methods—including differential games, Nash equilibria, mean-field games, and Stackelberg equilibria—with a focus on scalability and tractability., • Experience with multi-agent RL (MARL) and distributed optimization for large-scale robotic coordination in imperfect information settings., • Hands-on experience implementing multi-agent algorithms in real-time robotic or AI-driven systems, with exposure to hardware constraints, real-world latency, and stochastic disturbances., • Proficiency in Python, C++, or Julia, with experience in optimization libraries (e.g., CVXPY, Gurobi, JAX), reinforcement learning frameworks (e.g., RLlib, Acme), and multi-robot simulators., • Experience working with large-scale robotic coordination (e.g., drone swarms, autonomous fleets, or industrial automation systems) is a strong plus. We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.

Job Description The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. Our interview process involves several technical interviews and we aim to complete them within 1 week. What You'll Do • Actively ship production code to the web products, • Work closely with your dedicated product team, • Participate in product discussions to shape the product roadmap, • Experience. You've built and ship products that have scaled to thousands or millions of users, • Customer obsession. You are passionate about the field and have the desire to build high quality product that serves customer needs, • Speed. You work quickly to generate ideas and know how to decide which things can ship now and what things need time, • Focus. We're a high-growth startup with a busy, remote team. You know how and when to engage or be heads down, • Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs, • A fast-growing environment where you can help shape the culture, • An entrepreneurial crew that supports risk, intuition, and hustle, • A hands-off approach so you can focus and do your best work, • The opportunity to make an impact in a transformative industry Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Job Description The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview With the growth of our iOS app, being the #18 productivity app in the App Store category and also our recent recognition as Apple's 2025 Design Award for inclusivity, we find the need for a Senior iOS Engineer to help us support the new user base as well as work on new and exciting projects to push our missing forward. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. Our interview process involves several technical interviews and we aim to complete them within 1 week. What You'll Do • Opportunity to lead key engineering and product decisions, • Actively shipping production code for the Speechify iOS app, • Work within a dedicated product team, • Participate in product discussions to shape the product roadmap, • Experience. You've worked on products that scaled to a large user base, • Track record. You have worked on various products from inception to decent traction. You have been responsible for engineering the product, • Customer obsession. We expect every team member whose responsibilities directly impact customers to be constantly obsessed about providing the best possible experience, • Product thinking. You make thoughtful decisions about the evolution of your product and support internal teams and designers into taking the right direction, • Speed. You work quickly to generate ideas and know how to decide which things can ship now and what things need time, • Focus. We're a high-growth startup with a busy, remote team. You know how and when to engage or be heads down, • Swift Programming Language, • SwiftUI experience, • Experience in Multithreading Programming, • Working with CI/CD infrastructure, • Experience with Fastlane, • SOLID principles, the ability to write every single class according to SOLID, • A fast-growing environment where you can help shape the company and product, • An entrepreneurial crew that supports risk, intuition, and hustle, • The opportunity to make a big impact in a transformative industry, • A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture, • Work on a product that millions of people use and where daily feedback includes users sharing that they cried when they first found the product because it was so impactful on their lives, • Support people with learning differences like Dyslexia, ADD, Low Vision, Concussions, Autism, and Second Language Learners, and give reading superpowers to professionals all over the world Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Job Description The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview With the growth of our iOS app, being the #18 productivity app in the App Store category and also our recent recognition as Apple's 2025 Design Award for inclusivity, we find the need for a Senior iOS Engineer to help us support the new user base as well as work on new and exciting projects to push our missing forward. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. Our interview process involves several technical interviews and we aim to complete them within 1 week. What You'll Do • Opportunity to lead key engineering and product decisions, • Actively shipping production code for the Speechify iOS app, • Work within a dedicated product team, • Participate in product discussions to shape the product roadmap, • Experience. You've worked on products that scaled to a large user base, • Track record. You have worked on various products from inception to decent traction. You have been responsible for engineering the product, • Customer obsession. We expect every team member whose responsibilities directly impact customers to be constantly obsessed about providing the best possible experience, • Product thinking. You make thoughtful decisions about the evolution of your product and support internal teams and designers into taking the right direction, • Speed. You work quickly to generate ideas and know how to decide which things can ship now and what things need time, • Focus. We're a high-growth startup with a busy, remote team. You know how and when to engage or be heads down, • Swift Programming Language, • SwiftUI experience, • Experience in Multithreading Programming, • Working with CI/CD infrastructure, • Experience with Fastlane, • SOLID principles, the ability to write every single class according to SOLID, • A fast-growing environment where you can help shape the company and product, • An entrepreneurial crew that supports risk, intuition, and hustle, • The opportunity to make a big impact in a transformative industry, • A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture, • Work on a product that millions of people use and where daily feedback includes users sharing that they cried when they first found the product because it was so impactful on their lives, • Support people with learning differences like Dyslexia, ADD, Low Vision, Concussions, Autism, and Second Language Learners, and give reading superpowers to professionals all over the world Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Job DescriptionField AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Field AI is looking for a full-time Strategy & Business Development professional to join our growing team. This role will be responsible for shaping and executing key strategic initiatives, driving commercial partnerships, and helping align company priorities with market opportunities. You will work across business, product, and technical teams to identify growth pathways, scale operations, and accelerate impact. We’re looking for someone who is commercially sharp, analytically strong, and passionate about building frontier technology companies from the ground up.What You'll Get To Do • Business Development: Identify, structure, and manage high-impact partnerships across industries, including customers, channel partners, OEMs, and technology collaborators, • Go-to-Market: Support the development and execution of go-to-market plans; work with product and field ops teams to ensure readiness and alignment, • Growth Initiatives: Drive projects related to pricing strategy, customer expansion, and new use-case validation, • Strategic Finance Support: Collaborate with Finance to model business scenarios, unit economics, and ROI on key initiatives, • Investor & Board Materials: Prepare strategic content for board meetings, investor updates, and external communicationsWhat You Have, • 3–6 years of experience in strategy, business development, management consulting, investment banking, venture capital, or a fast-paced startup, • Proven experience leading cross-functional initiatives with measurable commercial impact, • Strong problem-solving, communication, and presentation skills, • Demonstrated ability to move seamlessly between high-level strategy and hands-on execution, • Comfort operating in ambiguity and a bias toward actionWhat Will Set You Apart, • Experience with enterprise B2B sales cycles, • Prior startup experience We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.

Job DescriptionField AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that solve the hardest challenges in autonomy — deploying globally today to unlock the full potential of embodied intelligence. Our solutions go beyond conventional data-driven ML or purely transformer-based models. We’re building real-world AI that learns from experience and delivers tangible, continuous improvements in the field.Are you excited by the challenge of supporting ML teams with robust, scalable infrastructure? Do you want to help accelerate real-time robotics through better developer workflows and reliable systems?Field AI is hiring an ML Infrastructure Engineer to own the software platform and tooling that enables fast, reliable AI development and deployment across our ML and robotics stacks.What You Will Get To Do • Build ML Infrastructure & Developer Tooling, • Design and implement internal tools, libraries, and CLI utilities that streamline experimentation, model training, and evaluation., • Improve local and cloud development environments using Docker, internal package registries, and monorepos., • Build reusable templates and interfaces for training, evaluation, and inference pipelines., • Support the ML Lifecycle (Data → Models → Deployment), • Develop pipelines for dataset ingestion, transformation, versioning, and validation., • Automate model training, evaluation, packaging, and deployment to cloud and edge environments., • Ensure integrity and traceability across data, code, and model artifacts., • Improve Build Systems and Developer Experience, • Maintain and evolve a shared monorepo across ML, robotics, and software teams., • Leverage Bazel or similar systems to enable fast, reproducible builds and tests., • Enhance developer workflows to support consistent environments and reduce friction., • Own CI/CD and Automation for ML Systems, • Build and maintain CI/CD pipelines (e.g., GitHub Actions, AWS Step Functions) for ML experimentation and deployment., • Automate regression testing and benchmarking models., • Develop observability tools: dashboards, telemetry systems, and model health monitoring., • Collaborate Across Engineering & Research Teams, • Work closely with ML scientists, software engineers, and roboticists to translate high-level platform needs into robust engineering solutions., • Participate in code and design reviews, documentation, and cross-team planningWhat You Have, • 3+ years of industry experience in software engineering, infrastructure, MLOps, or DevOps roles., • Deep familiarity with the ML lifecycle, including data preparation, model training, packaging, and deployment., • Strong software engineering foundations: proficiency with Git, Python, and system design., • Experience building and managing containerized environments (e.g., Docker) and working with orchestration tools (e.g., Kubernetes)., • Hands-on experience with CI/CD workflows and infrastructure-as-code (e.g., Terraform, AWS CDK)., • Experience with cloud ML platforms (AWS, GCP, or Azure)., • A strong product mindset — building internal tools with empathy for researchers and engineers.What Will Set You Apart, • Experience with distributed training frameworks (e.g., PyTorch DDP, FSDP, DeepSpeed, Megatron)., • Familiarity with orchestrating large-scale training jobs using Kubernetes-based platforms (e.g., Ray, SageMaker, EKS, Karpenter)., • Background in hybrid edge-cloud ML deployments or infrastructure supporting robotic systems. We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.

Job DescriptionField AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. About the Job We’re building robots that move with agility, balance, and grace in the real world—and we need a controls engineer to make that happen. You’ll own the control stack from modeling and simulation through embedded implementation on hardware. You’ll design and deploy control and estimation algorithms that power legs, arms, and whole-body behaviors for next-gen robots and humanoids. If you love turning beautiful math into real-time code that makes 100+ kg machines dance, this is your role. What You’ll Get To Do • Control algorithms & real-time implementation, • Design, tune, and validate controllers (classical, modern/state-space, whole-body QP, MPC) for balance, locomotion, and manipulation., • Implement high-rate control loops (≈100–1,000 Hz+) on embedded targets (MCUs and embedded Linux) with RTOS constraints, fixed-/floating-point trade-offs, and tight timing budgets., • Estimation & system identification, • Build and deploy filters (EKF/UKF/ESKF) for IMU/encoder/vision fusion, contact estimation, and state reconstruction., • Perform offline/online system identification of actuators and structures; parameterize friction/backlash/COM/inertia; maintain plant models that match reality., • Simulation, tooling, and testing, • Create fast simulations (Python/NumPy; Drake/MuJoCo/Isaac Sim as appropriate) for controller bring-up and regression testing., • Stand up HIL rigs, logging/telemetry, and automated CI to catch issues before they hit hardware., • Hardware integration, safety, and collaboration, • Work shoulder-to-shoulder with mech/EE/firmware/perception to integrate sensors, drivers, and actuators., • Implement watchdogs, FDI/FDIR, and safe-state behaviors; contribute to coding standards, reviews, and documentation.What You Have, • Degree in ME/EE/Robotics/CS (BS required; MS/PhD a plus) or equivalent hands-on experience., • Strong C/C++ and Python; comfortable writing low-level embedded code (interrupts, DMA, drivers) and performance-aware control loops., • Deep fundamentals in mechanics, dynamics, and multi-body dynamics (rigid-body kinematics, centroidal/whole-body dynamics, spatial algebra)., • Mastery of linear & state-space control (discrete-time design, LQR/LQG, observers), frequency-domain analysis, and stability/robustness proofs., • Practical experience with model predictive control (formulation, constraints, warm-starts) and QP/OSQP/qpOASES/acados-style solvers., • Proficiency in Kalman filtering and multi-sensor fusion; solid grasp of observability and noise modeling., • System identification experience (grey-box/black-box, parameter estimation, excitation design, validation)., • Embedded platforms: MCUs, embedded Linux/RT-patched kernels, and at least one RTOS., • Comfortable with motor control and electromechanical systems (encoders, force/torque sensors); scopes/logic analyzers and hardware bring-up., • Solid software practices: Git, code review, unit/integration testing, and reproducible experiment workflows.The Extras That Set You Apart, • Degree in ME/EE/Robotics/CS (BS required; MS/PhD a plus) or equivalent hands-on experience., • Strong C/C++ and Python; comfortable writing low-level embedded code (interrupts, DMA, drivers) and performance-aware control loops., • Deep fundamentals in mechanics, dynamics, and multi-body dynamics (rigid-body kinematics, centroidal/whole-body dynamics, spatial algebra)., • Mastery of linear & state-space control (discrete-time design, LQR/LQG, observers), frequency-domain analysis, and stability/robustness proofs., • Practical experience with model predictive control (formulation, constraints, warm-starts) and QP/OSQP/qpOASES/acados-style solvers., • Proficiency in Kalman filtering and multi-sensor fusion; solid grasp of observability and noise modeling., • System identification experience (grey-box/black-box, parameter estimation, excitation design, validation)., • Embedded platforms: MCUs, embedded Linux/RT-patched kernels, and at least one RTOS., • Comfortable with motor control and electromechanical systems (encoders, force/torque sensors); scopes/logic analyzers and hardware bring-up. We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.

Job DescriptionWho are We? Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Learn more at . About the Job Our Field Foundation Model (FFM) powers a global fleet of autonomous robots that capture massive streams of multimodal data across diverse, dynamic environments every day. As part of the Insight Team our mission is to transform this raw, multimodal data into actionable insights that empower our customers and engineers to deliver value. Field-insight Foundation Model (FiFM) is at the core of how we transform multimodal data from autonomous robots into actionable insights. As a Senior Machine Learning Platform Engineer, you will own the infrastructure that powers FiFM, from model hosting and distributed training pipelines to data systems, observability, and security.This is a role at the intersection of systems engineering and machine learning. You’ll design and operate large-scale ML platforms, ensure FiFM transitions smoothly from research into production, and optimize for both performance and cost across cloud and edge. In addition to building core infrastructure, you’ll play a leadership role by mentoring junior engineers, setting technical direction, and raising the engineering bar across the team.What You’ll Get To Do: • Design and manage scalable ML infrastructure with IaC tools (Terraform, CloudFormation)., • Develop and optimize cloud-based pipelines for training, evaluation, and inference on multimodal datasets., • Build and operate data systems for large-scale video ingestion, indexing, and storage., • Maintain MLOps workflows for versioning, experiment tracking, reproducibility, and CI/CD., • Ensure reliability and observability with monitoring, logging, and alerting., • Collaborate with AI/ML Engineers to productionize workflows., • Optimize infrastructure for performance and cost across cloud and edge., • Enforce best practices in security, compliance, and maintainability., • Mentor and manage junior engineers, providing technical guidance and career development.What You Have:, • Bachelor’s/Master’s in Computer Science, Engineering, or related field (or equivalent experience)., • 4+ years of industry experience in ML infrastructure or platform engineering., • Strong coding skills in Python/TypeScript and a strong foundation in software engineering best practices., • Proven experience with distributed systems, cloud platforms (AWS preferred), containerization and orchestration (Docker, Kubernetes/EKS, Ray), and serverless., • Hands-on experience building ML pipelines for distributed training and large-scale inference., • Strong knowledge of data management at scale, including preprocessing and retrieval of video/image datasets., • Proficiency with CI/CD pipelines, infrastructure-as-code (Terraform, CloudFormation), and automation., • Familiarity with MLOps tools (MLflow, Kubeflow, Airflow)., • Experience with system monitoring and observability in production.The Extras That Set You Apart:, • Experience with vector databases (OpenSearch, Pinecone, Weaviate) for indexing and retrieval., • Familiarity with distributed training frameworks (Horovod, DDP/FSDP, DeepSpeed, Ray)., • Hands-on experience with GPU orchestration and auto-scaling (Karpenter, SageMaker, EKS)., • Experience with agentic AI deployment workflows, orchestration frameworks, and retrieval-augmented generation.

Job Description Position Summary: At TCL North America, innovation is at the heart of everything we do. As a global leader in consumer electronics, we are rapidly growing our presence in the North American market. TCL is committed to fostering a dynamic, collaborative environment where team members can thrive, make meaningful contributions, and help drive our continued success. Join us and play a key role in shaping the future of home theater. We're seeking a high-performing, strategic Senior Sales Manager to accelerate growth within our Home Theater division through our partnership with Amazon. The ideal candidate is a results-oriented sales leader with a strong track record in the consumer electronics industry. In this role, the Senior Sales Manager will oversee and expand our relationship with Amazon, one of the largest national retailers in the category. This position plays a key role in driving market share through strategic planning, accurate forecasting, and hands-on sales execution, while strengthening TCL's presence as a leading brand in home entertainment. Duties may include but are not limited to: • Strategic Sales Leadership: Develop, justify, and execute comprehensive short and long-term strategic sales plans and annual business plans to meet and exceed company goals., • Forecasting & Analysis: Lead the creation and maintenance of detailed 90- and 120-day rolling sales plan and conduct regular performance reviews, providing actionable insights to upper management and business planning teams., • Market Share Growth: Successfully negotiate and achieve critical assortment goals with Amazon to grow share of business., • Retailer Partnership: Act as the primary liaison with Amazon, fostering strong, collaborative relationships and representing TCL as a world-class consumer electronics partner., • Budget & Resource Optimization: Maximize the impact of TCL's marketing, advertising, event, and training budgets (where applicable) while ensuring optimal return on investment. Manage retailer-specific expenses efficiently in collaboration with the TCL accounting department., • Program & Contract Management: Negotiate and finalize annual vendor program agreements with Amazon to secure favorable terms and drive mutual growth., • Cross-Functional Collaboration: Partner closely with the Director of Sales, business planning team (including leading weekly/bi-weekly CPFR calls), marketing, and other internal departments to ensure seamless execution of sales strategies and initiatives. Qualification/Requirements: • Minimum 3 years of sales experience at key regional and/or national accounts, • 25-30% travel to accounts, trade shows, trainings, summits and corporate meetings, • Location (100% remote office)- Preferred to be local to an assigned account, • Proficient in Microsoft Teams, Outlook and Office, • Bachelor's Degree in business or related field or equivalent experience, • Excellent interpersonal skills with strong negotiation and client management skills. High energy, passionate and articulate., • Analytical, problem solver, collaborative, strategic, results-oriented, • Proven track record of efficiently maintaining and growing customer relationships, • Ability to interact at all levels within customer's organization to increase shelf-share and drive increased business., • This is a hybrid position, preferably based in Minnesota, Washington, or Southern California, with occasional travel to major retailers of responsibility as needed. Job Type: Full-time Salary Range: $125K/yr - $150K/yr

Job DescriptionField AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. At Field AI, we’re on a mission to reshape how the world interacts with real-time intelligence—and none of it happens without exceptional people. As our Talent & Performance Partner, you’ll have the chance to help us build from the ground up: crafting the programs, systems, and culture that empower our team to grow, perform, and stay inspired. This role is ideal for someone who thrives in fast-paced environments, loves turning bold ideas into scalable talent strategies, is inspired by developing early talent pathways, and wants to make a lasting mark on a company.What You’ll Get To Do • Talent Management, • Support the creation and administration of our performance review process—designing goal-setting cycles, managing feedback loops, and keeping performance aligned with company objectives., • Lead OKR planning and tracking across teams, ensuring everyone knows how their work connects to our mission., • Partner closely with managers to support career pathing, role development, and internal mobility strategies., • Talent Development, • Coordinate and launch learning programs that empower employees to continuously level up—whether they’re just starting out or growing into leadership., • Create, curate, and share training resources that are engaging, actionable, and built for scale., • Coordinate coaching, mentorship, and team learning experiences that support our culture of curiosity and growth., • Intern Program - Early Talent, • Support the planning, coordination, and administration of our intern program—from onboarding through offboarding., • Partner with hiring managers to scope impactful intern projects, facilitate conversion opportunities, and ensure a high-quality intern experience., • Manage logistics including orientation, mentorship pairings, programming, and feedback cycles., • Track intern performance and experience data to evolve the program and support long-term early talent strategies., • Performance Optimization, • Assist teams by collaborating with leads on team planning, growth, and team effectiveness., • Use performance data to recommend improvements and build programs that support high-performing teams., • Maintain and optimize the systems that support performance feedback, OKR tracking, and team coaching.What You Have, • 5+ years of experience in talent management, learning & development, or roles with end-to-end ownership of performance and development programs. This is not a recruiter or talent acquisition focused role., • Expertise with OKRs, performance data analysis, feedback frameworks, and scaling learning programs., • Proven success leading performance management and growth frameworks in fast-paced, high-growth, start-up environments., • Ability to manage projects and optimize processes to successful completion., • Experience supporting or owning intern or early talent programs, ideally including logistics, engagement, and program evaluation., • Strong communication, facilitation, and program management skills—you know how to get things done and bring others along., • Ability to thrive in a team environment and comfortable working independently., • Proficiency in tools like Lattice, 15Five, WorkRamp, or similar systems; familiarity with HRIS platforms such as Gusto, Rippling, or comparable., • A proactive, resourceful mindset and excitement for building and maintaining programs in a startup environment., • Passion for people, growth, and building high-trust, high-performance cultures.What Will Set You Apart, • Experience building internal academies, leadership training, or career pathing frameworks from scratch., • Strong facilitation skills—whether it’s running a manager workshop or leading an offsite session. We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.

Job DescriptionField AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. We are operating robots in the most complex and challenging environments possible including construction. Within this position you will work closely with AI, product, and commercial teams to build products that leverage robotically captured data on construction projects around the world to deliver actionable insights to customers. This on-site role is for a developer that wants to work at the intersection of embodied AI and the delivering a product that has a meaningful impact on some of the most exciting projects under construction around the world today. What You Will Get To Do • Design, develop, and maintain full-stack applications with a focus on scalability and performance., • Write clean, maintainable code in TypeScript, JavaScript, Node.js, and Python., • Architect and implement solutions for complex problems involving data modeling, UI/UX design, and infrastructure, adhering to design patterns and clean architecture principles., • Develop backend services using Express.js and related Node.js frameworks., • Build and maintain interactive and dynamic frontends using React and modern web development practices., • Implement complex 3D graphics features using libraries like Three.js., • Design and manage efficient data storage solutions with MongoDB and Redis., • Build and maintain messaging systems with SQS and event-driven architectures using EventBridge., • Setup and Maintain AWS Elastic Beanstalk web APIs., • Containerize and deploy applications using Docker., • Maintain secured apps using authentication workflows with AWS Cognito and manage role based resource permissions., • Automate CI/CD pipelines with AWS CodePipeline and CodeBuild., • Configure DNS routing and domain management via AWS Route53., • Organize, manage, and scale codebases using monorepo architectures with tools like Lerna and NX., • Collaborate with cross-functional teams, to create intuitive and effective user experiences., • Troubleshoot performance bottlenecks, resolve bugs, and optimize graphics rendering pipelines.What You Have, • Strong Frontend and Backend experience in similar roles (10+ years) Advanced proficiency in TypeScript, JavaScript, Node.js (with Express.js), and React., • Experience with Three.js, WebGL, shaders, or other 3D graphics programming technologies., • Proficiency in designing solutions for complex problems involving data modeling, UI/UX, and infrastructure, using design patterns and clean architecture principles., • Strong understanding of messaging systems (e.g., SQS) and event-driven architectures (EventBridge)., • Hands-on experience with Docker and AWS services (e.g., Cognito, Elastic Beanstalk, CodePipeline, Route53). Note experience with similar products from other cloud providers would work too., • Expertise with database systems like MongoDB and Redis.What Will Set You Apart, • Knowledge of BIM (Building Information Modeling) workflows and tools., • Experience managing and scaling monorepo codebases with tools like Lerna or NX., • Experience working with Autodesk platforms (e.g., Revit, Forge API *APS).Proficiency with AWS SDK. We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.

Job DescriptionField AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. This is a hands-on, creative leadership role where you’ll partner directly with the CEO to define our brand, build dynamic marketing strategies, and establish Field AI as the go-to name for robotics in heavy industry. You’ll drive demand generation, develop compelling content and materials, and execute campaigns that fuel B2B sales while laying the foundation for a world-class marketing team.What You'll Get To Do: • Partner with the CEO to craft and evolve Field AI’s brand identity, ensuring a strong, consistent, and differentiated market presence., • Build and lead marketing campaigns, sales enablement tools, and materials to support B2B revenue growth., • Drive demand generation initiatives that increase market awareness and pipeline for the sales team., • Own Field AI’s visual branding and creative direction across digital, print, and events., • Plan and execute Field AI’s presence at industry conferences, trade shows, and thought leadership events., • Position Field AI as the partner of choice for executives, boards, and decision-makers across target industries., • Create and manage content strategies that elevate Field AI’s thought leadership in AI, robotics, and industrial automation., • Recruit, mentor, and grow a high-performing marketing team over time.What You Have:, • Ability to be onsite; hybrid may be an option (3 days onsite minimum(, • 8+ years of experience in marketing, with at least 3 years in a leadership role., • Proven track record in B2B marketing, preferably in robotics, AI, industrial technology, or enterprise software., • Strong background in brand building, visual identity, and creative campaigns., • Demonstrated success in demand generation, pipeline growth, and sales enablement., • Experience working directly with sales teams to craft messaging and accelerate deals., • Strong creative instincts and ability to develop bold, differentiated marketing strategies., • Comfortable operating in a hands-on capacity while scaling and leading a team., • Excellent communication and storytelling skills, with the ability to inspire both internal and external audiences. We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.

Job DescriptionField AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. At Field AI, we are not just building AI for robotics—we are redefining how AI systems reason under uncertainty, navigate risk, and make real-world decisions with mathematical rigor. Unlike conventional deep learning approaches that rely purely on data accumulation, our Field Foundation Models™ (FFMs) integrate stochastic analysis, differential equations, and uncertainty quantification to produce explainable, risk-aware AI capable of real-world deployment in Dull, Dirty, and Dangerous (DDD) environments. We are seeking a mathematician specializing in stochastic differential equations (SDEs), uncertainty quantification, and risk-aware decision-making to drive first-principles AI innovation in robotics. This role is foundational to our mission, developing new mathematical paradigms that govern autonomy in the real world, ensuring explainability, robustness, and safety at every level of deployment.What You Will Get To Do • Develop stochastic models for real-timerisk quantification and uncertainty propagation in robotics foundation models., • Apply Fokker-Planck (Kolmogorov forward) equations, Hamilton-Jacobi-Bellman PDEs, and stochastic optimal control to develop explainable and physics-grounded foundation models., • Develop novel stochastic inference frameworks, leveraging score-based generative models, neural stochastic differential equations (SDEs) to enable uncertainty-aware perception, state estimation, and trajectory forecasting in robotic systems, • Work on large deviations theory, stochastic stability, and rare-event simulation to model robot behavior under extreme environmental uncertainty., • Build probabilistic programming and variational inference frameworks that enable robots to adapt dynamically to unseen conditions., • Collaborate with our AI and engineering teams to transition mathematical insights into real-time robotics intelligence and operational decision-making., • Publish novel research in stochastic control, risk-sensitive reinforcement learning, and uncertainty-aware AI, shaping the next era of explainable autonomy.What You Have, • Ph.D. in Mathematics, Applied Mathematics, Theoretical Physics, or a related field with a focus on stochastic processes, PDEs, or dynamical systems., • Deep expertise in stochastic calculus, measure-theoretic probability, and functional analysis, with applications to uncertainty quantification and risk-aware control., • Experience in Hamilton-Jacobi PDEs, path-integral control, and entropy-regularized control., • Proficiency in high-performance computing & optimization for solving high-dimensional SDEs and PDEs at large scales (e.g., via spectral methods, GPU-based parallelized Monte Carlo, Galerkin method, etc.)., • Strong programming skills in Python, C++, or Julia, with experience in numerical computing libraries such as PyTorch, JAX, or TensorFlow., • Knowledge of Bayesian inference, information-theoretic approaches to decision-making, and probabilistic programming.What Will Set You Apart We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.

Job DescriptionWho are We? Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Learn more at . About the Job We are looking for a Verification and Validation Software Engineer to own the quality bar for Field AI’s off-road autonomy, legged, and humanoid robotics stacks—designing strategy, building tooling, and shipping the evidence that proves we’re safe and ready for the real world. You’ll implement scalable scenario-based testing (SIL/HIL + high-fidelity simulation), stand up CI pipelines and metrics that catch regressions early, and lead structured field validations where the terrain is messy and the stakes are real. Day to day, you’ll partner with perception, planning, controls, and hardware to define clear entry/exit criteria, instrument systems for truth, and turn logs into actionable insights that raise reliability every week. If you love breaking things so customers don’t have to, care deeply about measurable safety, and want your rigor to translate into robots that confidently tackle the world, this is the role for you.What You’ll Get To Do: • Own end-to-end V&V for autonomy stacks, • Define test strategies for perception, planning, and control across vehicle and robot platforms, • Build SIL/HIL pipelines for continuous regression and performance tracking, • Establish entry/exit criteria, traceability, and sign-off gates, • Level up our simulation & scenario coverage, • Develop realistic, adversarial scenarios (terrain, weather, lighting, sensor faults), • Create large-scale batch tests using scenario generators and digital twins, • Calibrate sim-to-real via data replay and hardware characterization, • Engineer reliable test infrastructure, • Implement CI/CD integrations (build, artifacting, test orchestration, dashboards), • Develop tooling for log capture, triage, and automated failure bucketing, • Track metrics: requirement coverage, code coverage (incl. MC/DC), and safety KPIs, • Prove safety and reliability in the field, • Plan and run structured field validations for off-road, legged, and humanoid use cases, • Execute fault-injection and degraded-mode testing with clear escalation paths, • Produce evidence packages for internal design reviews and external stakeholdersWhat You Have:, • 2–5+ years in software or robotics V&V, QA, or test infrastructure (or equivalent research/industry experience), • Strong coding in Python and/or C and/or C++ for test harnesses, automation, and analysis, • Hands-on with ROS/ROS 2, bag tools, and robotics logging/telemetry workflows, • Experience designing SIL/HIL setups, simulators, and scenario-based testing at scale, • Familiarity with autonomy components (perception, localization, mapping, planning, control), • Proficiency with CI/CD (e.g., GitHub Actions, GitLab), containers, and build systems (CMake), • Comfort with sensors and data: cameras, LiDAR, IMU, joint/force sensors; calibration & synchronization basics, • Clear, concise technical writing: test plans, results summaries, risk registers, and release notes, • A pragmatic, evidence-driven mindset and bias for automation over manual toilThe Extras That Set You Apart:, • Domain experience in off-road autonomy (unstructured terrain, slip, wheel/track dynamics), • Experience with legged/humanoid robots (whole-body control, contact/force validation), • Deep simulation chops: Isaac Sim, Gazebo custom scenario engines, • Fault-injection and robustness testing (sensor dropouts, time skew, GPS denial, actuator faults), • Statistical testing & evaluation: scenario coverage metrics, outlier analysis, reliability modeling, • ML evaluation experience (perception KPIs, dataset curation, drift detection, labeling QA), • Tooling you can show: log diff/visualization tools, test dashboards, scenario libraries We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, martial status, mental or physical disability, or any other legally protected status.

Job DescriptionField AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. About the Job You’ll build and own the simulation stack that powers development and testing for legged robots, humanoids, and car‑like platforms. The work spans software‑in‑the‑loop (SIL) and hardware‑in‑the‑loop (HIL) setups, GPU‑accelerated physics and learning loops, synthetic data generation, and rigorous Monte Carlo evaluation—with clear, visual reporting. You’ll also scale sim farms and data pipelines in AWS and work hands‑on in Gazebo/Ignition and NVIDIA Isaac Sim.What You’ll Get To Do • Own SIL/HIL simulation infrastructure, • Design, implement, and maintain SIL/HIL rigs, including real‑time loops, I/O, and fault‑injection., • Integrate simulators into CI/CD for repeatable, automated regression testing., • Develop sensor/actuator interfaces and bring‑up procedures for lab and field use., • Model robot and vehicle dynamics, • Build and validate dynamics models for legged systems, humanoids, and car‑like platforms., • Implement contact/friction models, parameter identification, and sensor/terrain effects., • Create configurable scenarios, environments, and disturbances for coverage testing., • Accelerate workloads on GPU, • Parallelize simulation, perception, and policy evaluation using CUDA and PyTorch., • Profile and optimize kernels, memory movement, and mixed CPU/GPU pipelines., • Scale Monte Carlo campaigns across local GPUs and AWS (e.g., EC2/EKS/Batch) for fast iteration., • Generate data and close the ML loop, • Produce synthetic datasets with domain randomization and high‑fidelity annotations., • Connect simulation output to training pipelines; track dataset versions and metrics., • Manage datasets in AWS S3 and wire up distributed processing for large data volumes., • Plan experiments and report results, • Design statistically sound Monte Carlo studies and acceptance tests., • Visualize performance with plotting libraries (e.g., Bokeh/Matplotlib); publish dashboards., • Summarize findings in clear engineering reports and reviews., • Integrate with robotics software, • Build ROS/ROS 2 nodes, messages, and tooling; simulate sensors and networks., • Develop and test in Gazebo/Ignition and NVIDIA Isaac Sim (plugins, sensor models, physics configs)., • Create reproducible dev environments (Docker, CMake) and enforce code health (linting, tests).What You Have, • 3+ years building robotics simulation or controls software (or equivalent research/industry experience)., • Strong coding in Python and C/C++, plus solid Linux, Git, CI/CD, and containerization practices., • Hands‑on experience building SIL/HIL setups, including real‑time constraints and hardware I/O., • Proficiency with ROS and ROS 2 development (nodes, topics, services, bags)., • Hands‑on with Gazebo and NVIDIA Isaac Sim (sensor plugins, physics configuration)., • Solid background in rigid‑body kinematics/dynamics, contact/friction, and basic state estimation., • Proven GPU experience: CUDA programming and PyTorch for accelerated simulation/ML loops., • AWS experience for simulation and data pipelines (e.g., EC2 GPU instances, EKS/Batch, S3, IAM)., • Ability to design and run Monte Carlo simulations and report results with Bokeh/Matplotlib., • Synthetic data generation for ML training (domain randomization, labeling, dataset versioning).The Extras That Set You Apart, • Deep expertise with simulator internals and advanced features (Isaac Sim/Omniverse USD, Gazebo/Ignition plugins), plus MuJoCo or Chrono., • Prior work on legged/humanoid control or car‑like dynamics (trajectory planning, MPC, tire/ground models)., • Sensor simulation depth (cameras, LiDAR, IMU) with realistic noise and distortion models., • Distributed compute for large‑scale simulation (multi‑GPU, Ray/Kubernetes) and AWS infra‑as‑code (Terraform/CloudFormation)., • Safety‑critical mindset and familiarity with robotics/automotive standards, • Publications, patents, or significant open‑source contributions in simulation, control, or robotics tooling. We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.

Job DescriptionField AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Are you driven by the challenge of building next-generation AI-powered robotics? Do you thrive at the intersection of advanced autonomy, real-world deployment, and AI-native decision-making? We are seeking a Robotics AI Engineer – Field Foundation Models & Dynamics Foundation Models to push the boundaries of risk-aware, self-evolving robotic intelligence. In this role, you will design, develop, and implement cutting-edge AI-driven planning and control architectures, ensuring our robots operate seamlessly in unstructured, high-stakes environments. This is your opportunity to redefine the future of embodied AI, working alongside a world-class team that values bold innovation, hands-on execution, and AI-first engineering. If you're eager to build autonomy that adapts, learns, and makes decisions with intelligence beyond traditional models, we want to hear from you!What You Will Get To Do • Algorithm Development, • Design and implement next-generation AI-powered Field Foundation Models (FFMs) and Dynamics Foundation Models (DFMs). Pioneer risk-aware, uncertainty-driven decision-making architectures that enable autonomous robots to navigate unstructured, high-stakes environments., • Reimagine planning algorithms, trajectory optimization, and task scheduling as a fusion of probabilistic reasoning, geometric intelligence, and adaptive AI, ensuring precise and reliable robot motion in dynamic environments., • Software Integration and Testing, • Work extensively with ROS (Robot Operating System) to develop, test, and integrate next-gen autonomous intelligence modules modules., • Design, implement, and test real-world and simulation- learning loops, where self-evolving models refine planning, control, and perception through real-world interaction. Conduct field tests to validate performance and optimize system behavior., • Hands-On Robotics Deployment, • Collaborate with hardware teams to ensure seamless software-hardware integration., • Travel to customer sites to deploy, calibrate, and fine-tune robotic systems in diverse and challenging real-world conditions., • Cross-Team Collaboration, • Work closely with other engineering teams to align development efforts and achieve cohesive system performanc, • Communicate effectively with non-technical stakeholders to explain robotic capabilities and project progress.What You Have, • Strong programming skills: Proficiency in Python and C++ for algorithm development and system integration., • Proficiency in ROS (Robot Operating System): Experience developing and integrating robotic software solutions., • Hands-On Robotics Experience: Practical experience working with autonomous robotic systems, including testing and deployment in the field., • Understanding of Planning and Controls: Solid knowledge of path planning, control theory, and trajectory optimization., • Ability and availability to travel: Ability and eagerness to travel to customer sites for deployments, testing, and troubleshooting (up to 30% travel)., • Excellent Communication Skills: Ability to convey complex technical concepts clearly to diverse audiences.What Will Set You Apart, • Experience with GPU programming (CUDA C++, PyTorch) a significant plus., • Experience with real-time systems or robotics middleware., • Familiarity with sensor integration and perception algorithms., • Knowledge of machine learning techniques applied to robotics., • Exposure to industrial robotics applications in sectors like construction, mining, or manufacturing., • Experience working in harsh or outdoor environments., • Experience working with humanoid or legged robots., • Advanced degree (Bachelors, Master’s) in Robotics, Computer Science, Electrical Engineering, or a related field. We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.

Job DescriptionField AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Field AI is hiring a Senior Manager of Financial Planning & Analysis to build and lead our financial planning function during a period of rapid growth. Reporting directly to the CFO, this is a hands-on role that will own forecasting, budgeting, and financial analysis, while building scalable processes to support a high-performing finance team. You will partner closely with leadership across business and technology teams to deliver insight, drive performance, and help shape strategic decisions. We're looking for someone who has built finance processes from scratch in high-growth environments, thrives in a fast-paced setting, and brings a high bar for financial modeling, analytical thinking, and cross-functional collaboration.What You'll Get To Do • Budgeting & Forecasting: Lead annual and rolling budgeting processes; partner with department leads to build accurate and actionable forecasts., • Financial Modeling & Analysis: Build and maintain robust financial models, including unit economics, scenario planning, and long-range forecasts., • KPI & Financial Analytics: Analyze business performance, unit economics, and cost structures to identify key trends and opportunities., • Management and Board reporting: Prepare high-quality reporting packages and materials for executive team, board meetings, and investor updates., • Business Partnering: Work closely with functional leaders (Sales, Product, Engineering) to align financial goals with strategy., • Systems & Tools: Work hands-on with tools like QuickBooks and Brex to ensure accurate data flow and process efficiency.What You Have, • 8–10+ years of experience in FP&A, • Strong financial modeling skills — Excel fluency is a must, • Proven track record building FP&A processes in a startup or fast-growth company, • Excellent communication and storytelling skills; able to synthesize complex data for a range of stakeholders, • Experience working cross-functionally with business, product, or technical teamsWhat Will Set You Apart, • Experience building FP&A functions in a high-growth startup or tech environment, • Strong understanding and prior experience of SaaS or hardware/software business models, • Comfort working in a dynamic, fast-paced, and collaborative environment, • MBA or advanced degree in Finance, Business, or Economics We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.

Job Description POSITION SUMMARY Bandai Namco Entertainment America Inc. embraces the idea Fun For All Into the Future, where anything is possible for our fans and team, using technology and innovation to create the most memorable and genuine experiences around our brands. We are the official home for ELDEN RING, Armored Core, TEKKEN, DRAGON BALL, GUNDAM, PAC-MAN, and many more. BNEA's Revenue Accountant plays an integral role in revenue accounting activities and will have a broad range of duties including various aspects of monthly close and general ledger responsibilities. To be successful, you will need to be a self-starter and possess impeccable attention to detail, strong financial savvy, an aptitude for technology and financial systems and a strong desire and ability to work in a fast paced environment. Join us at our new campus in Irvine, California where a hybrid work schedule will be observed. ESSENTIAL DUTIES AND RESPONSIBILITIES • Utilize Oracle and BIOne Data Warehouse for end-to-end invoice processing and revenue reconciliation, including preparing and issuing invoices, processing adjustment invoices, and ensuring prompt payment collection., • Create and maintain mapping between raw sales data, final statements, Oracle game codes, and revenue account codes to ensure accurate financial reporting., • Collect monthly and quarterly statements from First Party Partner (1P) portals for reconciliation, variance identification, and further investigation as required., • Coordinate with the Apps Team to ensure the completeness and accuracy of flash sales data and monthly/quarterly statements in BIOne Data Warehouse., • Reconcile and balance revenue, deferred revenue, and accrued accounts receivable at month-end closing; investigate and resolve any variances identified., • Assist with royalty recoupments, follow up on missing licensor statements, and process related invoices in Oracle., • Manage revenue recognition entries using RecVue system to ensure compliance with company policies, including preparing and uploading journal entries for month-end estimated sales accruals and tracking related entries and reversals., • Review RecVue system-generated revenue entries and reports as requested by management, and reconcile data based on specific projects, products, and transactions from Oracle., • Generate and reconcile assigned revenue-related reports to support accurate financial statements., • Provide audit PBC documentation as requested and communicate directly with auditors., • Work on ad hoc assignments such as state apportionment analysis and evaluation of Downloadable Content (DLC) value per title., • Monitor and distribute daily credit hold reports, release orders, conduct remote deposits and payment applications, send invoices and monthly statements to customers, and collect past due invoices., • Process and issue credit memos and invoices for adjustments, sales programs, e-commerce store, and Amazon Seller Central transactions., • Create and update customer profiles in Oracle; manage the credit application process for annual credit insurance reviews and submit and track credit coverage and limits for customers., • Maintain customer retail certificates and provide credit references as requested., • BA/BS in Accounting/Finance, • 3+ years increasingly responsible experience in accounting, ideally within a video game company, • Experience working with applications, data, and other technical teams preferred, • Strong organizational, verbal, and written communication skills, • Advance excel skills, • Strong analytical and problem-solving skills $85,000.08 – $100,000.08 Actual base salary will be determined based on numerous relevant business and candidate factors including, but not limited to, education, qualifications, certifications, experience, skills, geographic location, and business or organizational needs. The salary range listed is just one component of the total compensation package for employees and it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. Pursuant to the California Consumer Privacy Act of 2018, Bandai Namco Entertainment America Inc. is providing the following notice regarding the Personal Information we collect and use in the context of this job application: About Bandai Namco Entertainment America Inc. Bandai Namco Entertainment America Inc., part of the Bandai Namco Group, is a leading global publisher and developer of interactive entertainment for major video game consoles, PC, online, and mobile platforms. The company is known for creating many of the industry's beloved classic franchises such as PAC-MAN®, GALAGA®, TEKKEN®, SOULCALIBUR®, and ACE COMBAT®, and publishing the critically acclaimed DARK SOULS™ series and the blockbuster title ELDEN RING™. Bandai Namco Entertainment America Inc. is also the premier publisher in the Western hemisphere for anime-based video games including GUNDAM™, NARUTO SHIPPUDEN™, DRAGON BALL™, and ONE PIECE®. Bandai Namco Entertainment America Inc. is headquartered in Irvine, California. More information about the company and its products can be found at .

Job Description The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. Our interview process involves several technical interviews and we aim to complete them within 1 week. What You'll Do • Actively ship production code to the web products, • Work closely with your dedicated product team, • Participate in product discussions to shape the product roadmap, • Experience. You've built and ship products that have scaled to thousands or millions of users, • Customer obsession. You are passionate about the field and have the desire to build high quality product that serves customer needs, • Speed. You work quickly to generate ideas and know how to decide which things can ship now and what things need time, • Focus. We're a high-growth startup with a busy, remote team. You know how and when to engage or be heads down, • Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs, • A fast-growing environment where you can help shape the culture, • An entrepreneurial crew that supports risk, intuition, and hustle, • A hands-off approach so you can focus and do your best work, • The opportunity to make an impact in a transformative industry Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Job Description The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. Our interview process involves several technical interviews and we aim to complete them within 1 week. What You'll Do • Actively ship production code to the web products, • Work closely with your dedicated product team, • Participate in product discussions to shape the product roadmap, • Experience. You've built and ship products that have scaled to thousands or millions of users, • Customer obsession. You are passionate about the field and have the desire to build high quality product that serves customer needs, • Speed. You work quickly to generate ideas and know how to decide which things can ship now and what things need time, • Focus. We're a high-growth startup with a busy, remote team. You know how and when to engage or be heads down, • Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs, • A fast-growing environment where you can help shape the culture, • An entrepreneurial crew that supports risk, intuition, and hustle, • A hands-off approach so you can focus and do your best work, • The opportunity to make an impact in a transformative industry Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Job Description The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview With the growth of our iOS app, being the #18 productivity app in the App Store category and also our recent recognition as Apple's 2025 Design Award for inclusivity, we find the need for a Senior iOS Engineer to help us support the new user base as well as work on new and exciting projects to push our missing forward. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. Our interview process involves several technical interviews and we aim to complete them within 1 week. What You'll Do • Opportunity to lead key engineering and product decisions, • Actively shipping production code for the Speechify iOS app, • Work within a dedicated product team, • Participate in product discussions to shape the product roadmap, • Experience. You've worked on products that scaled to a large user base, • Track record. You have worked on various products from inception to decent traction. You have been responsible for engineering the product, • Customer obsession. We expect every team member whose responsibilities directly impact customers to be constantly obsessed about providing the best possible experience, • Product thinking. You make thoughtful decisions about the evolution of your product and support internal teams and designers into taking the right direction, • Speed. You work quickly to generate ideas and know how to decide which things can ship now and what things need time, • Focus. We're a high-growth startup with a busy, remote team. You know how and when to engage or be heads down, • Swift Programming Language, • SwiftUI experience, • Experience in Multithreading Programming, • Working with CI/CD infrastructure, • Experience with Fastlane, • SOLID principles, the ability to write every single class according to SOLID, • A fast-growing environment where you can help shape the company and product, • An entrepreneurial crew that supports risk, intuition, and hustle, • The opportunity to make a big impact in a transformative industry, • A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture, • Work on a product that millions of people use and where daily feedback includes users sharing that they cried when they first found the product because it was so impactful on their lives, • Support people with learning differences like Dyslexia, ADD, Low Vision, Concussions, Autism, and Second Language Learners, and give reading superpowers to professionals all over the world Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Job DescriptionField AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. We are seeking a dedicated and proactive Customer Success Associate to play a pivotal role in building and nurturing strong, long-term relationships with our enterprise clients. As a point of contact post-sales, you will ensure that customers achieve their desired outcomes while maximizing the value they derive from our cutting-edge robotic solutions. This role is essential for driving customer satisfaction, retention, and expansion, as you work closely with clients to support their goals, optimize user adoption, and protect against churn. This is a unique career opportunity to join a rapidly growing company and contribute to the success of enterprise clients in a dynamic, fast-paced environment. What You'll Get To Do • Relationship Management, • Build and sustain long-term relationships with enterprise clients, • Understand client business goals and provide strategic guidance, • Represent Field AI as the primary point of contact, • Project Management, • Manage initial robot deployments for clients, • Ensure successful project implementation and client satisfaction, • Churn Protection, • Drive user adoption of Field AI solutions, • Deliver continuous value to prevent churn risks, • Ensure clients maintain long-term engagement with the product, • Customer Trusted Advisor, • Develop strong relationships with key customer stakeholders and executives, • Collaborate with Product on creating and executing a customized Field AI roadmap, • Ensure high ROI and successful outcomes for clients, • Expansion, • Identify and act on opportunities for account growth, • Influence and accelerate customer expansions, • Collaborate with Sales and Product teams for timely recommendations, • Customer Advocacy, • Serve as the voice of the customer within Field AI, • Provide customer feedback to Sales, Engineering, and Product teams, • Drive improvements based on customer insights, • Process Development, • Develop and refine internal Customer Success processes and templates, • Implement best practices for consistent service delivery, • Reporting, • Monitor customer health metrics and KPIs, • Proactively address risks and opportunities, • Report monthly on customer status, risks, and opportunities, • Cross-Functional Collaboration, • Work closely with Sales, Product, Engineering, and Support teams, • Ensure a seamless and exceptional end-to-end customer experienceWhat You Have, • Bachelor’s degree in Business, Engineering, or a related field., • 2+ years of experience in Customer Success, Account Management, or a similar customer-facing role, • Proven success in managing and growing enterprise-level accounts, with a focus on customer retention and expansion, • Exceptional written and verbal communication skills, with the ability to engage stakeholders at all levels., • Proven ability to build strong relationships and drive customer satisfaction., • Strong problem-solving skills and experience navigating complex customer environments., • Experience leading both technical and non-technical project teams across functional areas., • Strong work ethic, highly self-motivated, and able to work independently while managing multiple priorities., • Strong analytical skills to interpret data and make data-driven decisions., • Knowledge of Customer Success best practices and a commitment to continuous improvement. We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.

Job DescriptionField AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. We are seeking a dedicated and proactive Senior Customer Success Manager (Sr. CSM) to play a pivotal role in building and nurturing strong, long-term relationships with our enterprise clients. As the primary point of contact post-sales, you will ensure that customers achieve their desired outcomes while maximizing the value they derive from our cutting-edge robotic solutions. This role is essential for driving customer satisfaction, retention, and expansion, as you work closely with clients to support their goals, optimize user adoption, and protect against churn. This is a unique career opportunity to join a rapidly growing company and contribute to the success of enterprise clients in a dynamic, fast-paced environment. Please note that we anticipate hiring for this role towards the end of Q2. What You'll Get To Do • Relationship Management, • Build and sustain long-term relationships with enterprise clients, • Understand client business goals and provide strategic guidance, • Represent Field AI as the primary point of contact, • Project Management, • Manage initial robot deployments for clients, • Ensure successful project implementation and client satisfaction, • Churn Protection, • Drive user adoption of Field AI solutions, • Deliver continuous value to prevent churn risks, • Ensure clients maintain long-term engagement with the product, • Customer Trusted Advisor, • Develop strong relationships with key customer stakeholders and executives, • Collaborate with Product on creating and executing a customized Field AI roadmap, • Ensure high ROI and successful outcomes for clients, • Expansion, • Identify and act on opportunities for account growth, • Influence and accelerate customer expansions, • Collaborate with Sales and Product teams for timely recommendations, • Customer Advocacy, • Serve as the voice of the customer within Field AI, • Provide customer feedback to Sales, Engineering, and Product teams, • Drive improvements based on customer insights, • Process Development, • Develop and refine internal Customer Success processes and templates, • Implement best practices for consistent service delivery, • Reporting, • Monitor customer health metrics and KPIs, • Proactively address risks and opportunities, • Report monthly on customer status, risks, and opportunities, • Cross-Functional Collaboration, • Work closely with Sales, Product, Engineering, and Support teams, • Ensure a seamless and exceptional end-to-end customer experienceWhat You Have, • Bachelor’s degree in Business, Engineering, or a related field, • 5+ years of experience in Customer Success, Account Management, or a similar customer-facing role, • Proven success in managing and growing enterprise-level accounts, with a focus on customer retention and expansion, • Exceptional written and verbal communication skills, with the ability to engage stakeholders at all levels., • Proven ability to build strong relationships and drive customer satisfaction., • Strong problem-solving skills and experience navigating complex customer environments., • Experience leading both technical and non-technical project teams across functional areas., • Strong work ethics, highly self-motivated, and able to work independently while managing multiple priorities., • Strong analytical skills to interpret data and make data-driven decisions., • Knowledge of Customer Success best practices and a commitment to continuous improvement. We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.

Job DescriptionField AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. We are seeking a dedicated and proactive Customer Success Manager (CSM) to play a pivotal role in building and nurturing strong, long-term relationships with our enterprise clients. As the primary point of contact post-sales, you will ensure that customers achieve their desired outcomes while maximizing the value they derive from our cutting-edge robotic solutions. This role is essential for driving customer satisfaction, retention, and expansion, as you work closely with clients to support their goals, optimize user adoption, and protect against churn. This is a unique career opportunity to join a rapidly growing company and contribute to the success of enterprise clients in a dynamic, fast-paced environment.What You'll Get To Do • Relationship Management, • Build and sustain long-term relationships with enterprise clients, • Understand client business goals and provide strategic guidance, • Represent Field AI as the primary point of contact, • Project Management, • Manage initial robot deployments for clients, • Ensure successful project implementation and client satisfaction, • Churn Protection, • Drive user adoption of Field AI solutions, • Deliver continuous value to prevent churn risks, • Ensure clients maintain long-term engagement with the product, • Customer Trusted Advisor, • Develop strong relationships with key customer stakeholders and executives, • Collaborate with Product on creating and executing a customized Field AI roadmap, • Ensure high ROI and successful outcomes for clients, • Expansion, • Identify and act on opportunities for account growth, • Influence and accelerate customer expansions, • Collaborate with Sales and Product teams for timely recommendations, • Customer Advocacy, • Serve as the voice of the customer within Field AI, • Provide customer feedback to Sales, Engineering, and Product teams, • Drive improvements based on customer insights, • Process Development, • Develop and refine internal Customer Success processes and templates, • Implement best practices for consistent service delivery, • Reporting, • Monitor customer health metrics and KPIs, • Proactively address risks and opportunities, • Report monthly on customer status, risks, and opportunities, • Cross-Functional Collaboration, • Work closely with Sales, Product, Engineering, and Support teams, • Ensure a seamless and exceptional end-to-end customer experienceWhat You Have, • Bachelor’s degree in Business, Engineering, or a related field, • 3+ years of experience in Customer Success, Account Management, or a similar customer-facing role, • Proven success in managing and growing enterprise-level accounts, with a focus on customer retention and expansion, • Exceptional written and verbal communication skills, with the ability to engage stakeholders at all levels., • Proven ability to build strong relationships and drive customer satisfaction., • Strong problem-solving skills and experience navigating complex customer environments., • Experience leading both technical and non-technical project teams across functional areas., • Strong work ethic, highly self-motivated, and able to work independently while managing multiple priorities., • Strong analytical skills to interpret data and make data-driven decisions., • Knowledge of Customer Success best practices and a commitment to continuous improvement. We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.

Job DescriptionField AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. We are seeking a dedicated and proactive Technical Customer Success Associate to play a pivotal role in building and nurturing strong, long-term relationships with our enterprise clients. As a point of contact post-sales, you will ensure that customers achieve their desired outcomes while maximizing the value they derive from our cutting-edge robotic solutions. This role is essential for driving customer satisfaction, retention, and expansion, as you work closely with clients to support their goals, optimize user adoption, and protect against churn. This is a unique career opportunity to join a rapidly growing company and contribute to the success of enterprise clients in a dynamic, fast-paced environment. Please note that we anticipate hiring for this role towards the end of Q2. What You'll Get To Do • Relationship Management, • Build and sustain long-term relationships with enterprise clients, • Understand client business goals and provide strategic guidance, • Represent Field AI as the primary point of contact, • Project Management, • Manage initial robot deployments for clients, • Ensure successful project implementation and client satisfaction, • Churn Protection, • Drive user adoption of Field AI solutions, • Deliver continuous value to prevent churn risks, • Ensure clients maintain long-term engagement with the product, • Customer Trusted Advisor, • Develop strong relationships with key customer stakeholders and executives, • Collaborate with Product on creating and executing a customized Field AI roadmap, • Ensure high ROI and successful outcomes for clients, • Expansion, • Identify and act on opportunities for account growth, • Influence and accelerate customer expansions, • Collaborate with Sales and Product teams for timely recommendations, • Customer Advocacy, • Serve as the voice of the customer within Field AI, • Provide customer feedback to Sales, Engineering, and Product teams, • Drive improvements based on customer insights, • Process Development, • Develop and refine internal Customer Success processes and templates, • Implement best practices for consistent service delivery, • Reporting, • Monitor customer health metrics and KPIs, • Proactively address risks and opportunities, • Report monthly on customer status, risks, and opportunities, • Cross-Functional Collaboration, • Work closely with Sales, Product, Engineering, and Support teams, • Ensure a seamless and exceptional end-to-end customer experienceWhat You Have, • Bachelor’s degree in Engineering, Business, or a related field., • 3+ years of technical experience in Customer Success, Account Management, or a similar customer-facing role, • Proven success in managing and growing enterprise-level accounts, with a focus on technical information, customer retention and expansion, • Exceptional written and verbal communication skills, with the ability to engage stakeholders at all levels., • Proven ability to build strong relationships and drive customer satisfaction., • Strong problem-solving skills and experience navigating complex customer environments., • Experience leading both technical and non-technical project teams across functional areas., • Strong work ethic, highly self-motivated, and able to work independently while managing multiple priorities., • Strong analytical skills to interpret data and make data-driven decisions., • Knowledge of Customer Success best practices and a commitment to continuous improvement. We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.

Job DescriptionWho are We? Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.Learn more at . About the Job As an ML Engineer at Field AI, you will help build the next-generation Field Foundation Model (FFM), powering a global fleet of autonomous robots deployed across diverse environments. Your contributions will directly shape how we scale – through advances in model architecture, training methodologies, and deployment strategies. You’ll collaborate closely with machine learning scientists, software engineers, and robotics experts to design and implement FFM capabilities that generalize across tasks and environments. Beyond model development, you’ll also support deployment and monitoring to ensure smooth integration and reliable real-world performance. This role offers the opportunity to work with cutting-edge technologies, solve complex challenges, and directly impact large-scale robot deployments.What You’ll Get To Do: • Design, train, and deploy state-of-the-art machine learning models for end-to-end learning based navigation stack., • Work with deep learning architectures such as transformers, convolutional networks to capture complex decision making., • Leverage imitation learning and reinforcement learning to advance planning and reasoning of our models., • Explore novel data generation and collection pipelines to enrich training datasets., • Assist with deploying machine learning models into production environments, • Continuously monitor models in production, detecting model drift, and automating retraining processes as applicable, • Troubleshoot issues related to model deployment, performance, and system integration.What You Have:, • Bachelor’s or Master’s degree in Computer Science, AI, Statistics, or related field., • Strong experience with Python and modern ML frameworks (PyTorch, TensorFlow, JAX)., • Deep understanding of contemporary deep learning architectures, optimization, and evaluation., • Proven experience deploying ML models into production (robotics, self-driving, or NLP preferred)., • Hands-on expertise in imitation learning and reinforcement learning., • Working knowledge of C++ for deployment and system integration.The Extras That Set You Apart: We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, martial status, mental or physical disability, or any other legally protected status.

Job DescriptionField AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Hardware Team:The Hardware Team at Field AI develops perception and compute payloads that power autonomous robotics systems in complex real-world environments. Our work spans the full hardware stack designing and integrating sensing systems (LiDAR, camera, TOF, IMU, GPS), embedded compute (CPUs, GPUs, microcontrollers, Linux, ROS), electrical systems (power distribution, communication), and mechanical components (structures, thermal regulation, ingress protection). The team focuses on both development (research, design, prototyping, testing) and operations (production, testing, QA, debugging). We’re a small, fast-moving team, and we care deeply about improving: 1) core capabilities, 2) system reliability, 3) system scalability. As a growing team we are also building operational systems and procedures from the ground up. Embedded Compute Role:As an Embedded Compute Engineer on the Hardware Team at Field AI, you will contribute to the architecture, configuration, and validation of the compute systems that serve as the backbone for our robotic platforms. Your work will span low-level firmware, Linux-based configuration, and system performance analysis across ARM and x86 SBC platforms. From firmware on microcontrollers to ROS data streams on SBCs, you’ll ensure the entire compute stack is optimized, reliable, and robust under field conditions. You will collaborate closely with the sensor, electrical, and autonomy teams to build tightly integrated solutions ready for deployment in challenging field environments. Additionally, while your focus will be on computing systems you will likely contribute across all hardware domains.What You Will Get To Do • Compute System Design, • Compute Architecture: Architect and configure embedded compute platforms (ARM/x86, SBCs) for robotic applications including evaluation, testing and selection., • Firmware & Software: Set up and customize Linux environments (Ubuntu, Yocto, JetPack), middleware (ROS), and I/O interfaces., • Systems Integration: Integrate compute with sensing and robotic systems. Analyze thermal, power, and bandwidth constraints to meet deployment and runtime requirements., • Compute System Implementation, • Communications: Bring up sensors and peripherals using a range of protocols (USB, Ethernet, GMSL, I²C, SPI, CAN)., • Data Pipelines: Build and maintain drivers, ROS nodes, and data acquisition pipelines for new hardware components., • Systems Configuration: Create configuration files, launch scripts, and firmware update workflows., • Testing: Conduct system-level tests such as thermal profiling, latency measurement, and power draw analysis., • Documentation & Budgets: Maintain flashing procedures, I/O maps, and debug kits. Manage compute and I/O budgets., • Compute System Production & Servicing, • Build: Work with vendors to procure compute hardware. Develop QA checks for incoming units. Support payload integration and scaling., • Debug: Support root-cause analysis for boot, connectivity, and throughput issues., • Diagnostics Monitoring: Implement watchdogs, health checks, and other evaluation tools. Monitor compute system performance across CPU, GPU, memory, I/O, and networking.What You Have, • Education: B.S., M.S., or Ph.D. in Computer Engineering, Robotics, Electrical Engineering, or a related field., • Experience Level: We are recruiting across a wide range of experience levels from entry level engineers to senior and staff engineers., • Embedded Systems: Experience with embedded platforms (Jetson, Raspberry Pi, x86 NUCs, custom SBCs)., • Linux: Proficiency with Linux system configuration, scripting, and headless deployment tools., • Firmware: Strong skills in firmware development for microcontrollers, including bare-metal and RTOS environments., • Programming: Proficient in C++ and Python for embedded and application-level development., • Communication Protocols: Experience with USB, Ethernet, I²C, SPI, CAN, GMSL, and similar interfaces., • ROS Ecosystem: Familiarity with ROS, device drivers, TF, and data streaming/publishing., • Debugging: Comfort with hardware/software debugging tools (oscilloscopes, logs, power monitors, analyzers)., • Systems Thinking: Ability to diagnose and optimize across compute, thermal, timing, and I/O layers.What Will Set You Apart, • Scaling: Experience taking systems from prototype to large scale production., • Field Environments: Experience developing systems for harsh field environments., • Deployed Robotics: Experience working on robotics deployed in real world settings such as autonomous vehicles, drones, or ruggedized robots., • Systems Level Robotics: Fluency across software, electrical, and mechanical systems. We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.

Job DescriptionField AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Field AI is seeking a rigorous and innovative Mission Autonomy Software Engineer to play a vital role in the development of highly advanced robotic and AI systems by designing and implementing intelligent decision-making frameworks. Your contribution is essential to advancing our autonomous robotic platforms and delivering cutting-edge AI-driven solutions to customers. This is a unique career opportunity to join a rapidly growing company and contribute to the success of enterprise clients in a dynamic, fast-paced environment.What You Will Get To Do • Mission Autonomy Framework Development and Optimization, • Design and implement state machines and behavior trees to enable intelligent decision-making in complex robotic systems. Optimize mission autonomy algorithms to ensure real-time performance and robustness in diverse settings and environments., • Mission Autonomy Framework Unit Testing, • Develop and execute unit tests for mission autonomy modules to validate correctness, reliability, and efficiency., • Ensure rigorous software verification through automated and manual testing approaches., • Mission Autonomy Framework Simulation Testing, • Integrate and test mission autonomy frameworks in simulation environments to validate behavior before deployment in the real world., • Utilize simulation tools to identify potential issues and refine decision-making logic., • Software Modularization for LLM Interface, • Develop a modular software architecture to enable LLM-based mission definition via natural language prompts., • Ensure seamless integration between autonomy frameworks and language-based mission design interfaces.What You Have, • Master’s degree in Computer Science or a related field., • Advanced proficiency in Python programming, ROS, Linux, Git, • 4+ years experience with mission autonomy frameworks (e.g. state machines, behavior trees), • Ability to effectively and efficiently communicate with all teams, • Strong problem-solving skills and proven ability to navigate complex software systems, • Strong work ethic, highly self-motivated, and able to work independently while managing multiple prioritiesWhat Will Set You Apart, • Proficiency in C++ programming, • Experience with simulation environments (e.g., Gazebo, Isaac Sim) We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.

Job DescriptionField AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Robotics AI Engineer – Calibration, Localization, and MappingLocation: Mission Viejo, CA About Field AIField AI is at the forefront of robotic embodied AI, transforming industries like construction, security, mining, and manufacturing. Our autonomous robots operate globally, often in harsh environments, delivering critical insights to customers. Whether monitoring construction progress, ensuring safety compliance, or conducting predictive maintenance, Field AI is advancing technology to make a meaningful impact. Learn more at . About the JobField AI is seeking passionate scientists and engineers to play a vital role in the development of advanced geometric robot perception algorithms. As a member of our Calibration, Localization, and Mapping (CLAM) team, you will work with a team of high-focused individuals in a fast-paced environment to deliver production-quality code within our calibration, localization, and mapping subsystems. You will work with a variety of different sensing modalities and help streamline our calibration pipeline and/or develop environment-agnostic localization and mapping algorithms for our downstream autonomy modules. The specific project and work that you will be doing will depend on your specific skill set and area of interest. The ideal candidate will not only have a deep theoretical understanding of modern calibration, localization, and mapping algorithms, but also the practical skills to deliver high-quality and maintainable code on a small, focused team in a fast-paced environment. What You’ll Get To Do • Design and implement state-of-the-art calibration, localization, and mapping algorithms for our autonomous quadrupeds and humanoids, • Develop various tools and metrics to continuously validate and benchmark the performance of our various subsystems, • Write clean, efficient, and maintainable code in C++ and Python, • Collaborate with cross-functional teams to integrate and deploy your algorithms into real-world systemsWhat You Have, • Master’s or Ph.D. in Computer Science, Electrical Engineering, or a related field, with expertise in calibration, localization, and/or 3D mapping, • Strong mathematical foundation in linear algebra, probability theory, numerical optimization, 3D geometry, Lie theory, and 3D kinematics, • Strong theoretical understanding and practical experience with different linear and non-linear state estimation frameworks for sensor fusion, • Familiarity with state-of-the-art LiDAR-inertial odometry and SLAM algorithms, • Familiarity with state-of-the-art visual-inertial odometry and SLAM algorithms, • Experience with sensor calibration (intrinsics and extrinsics) and time synchronization, • Strong proficiency in C++ and Python and modern best practices, with the ability to write maintainable and efficient code, • Strong understanding how ROS works and experience with designing, building, and deploying your own nodes into a complex robotic system, • Strong problem-solving skills, attention to detail, and being able to work independently while managing multiple priorities, • Strong work ethic, highly self-motivated, and excellent written and verbal communication skillsThe Extras That Set You Apart, • Publications and/or patents in calibration, state estimation, odometry, and/or SLAM, • Experience working with noisy sensor measurements and designing outlier-resilient algorithms, • Experience working with computationally constrained platforms and designing efficient, real-time algorithms with low computational complexity, • Experience with other sensing modalities (e.g., radar, doppler-LiDAR, GPS, etc.) We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.

Job DescriptionField AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. We are seeking a skilled and motivated Software Infrastructure Engineer to join our engineering team. In this role, you will be responsible for designing, building, and maintaining the foundational systems and services that support our software development and deployment processes. You'll work closely with developers, DevOps, and IT teams to ensure our systems are scalable, reliable, and secure. This is an exciting opportunity to join a fast-growing company and support the success of enterprise clients in a dynamic environment.What You Will Get To Do • Design, build, and maintain core infrastructure components such as CI/CD pipelines, build systems, monitoring tools, and deployment frameworks., • Develop and implement scalable solutions for service reliability, observability, and performance., • Collaborate with development teams to optimize infrastructure for high availability and fault tolerance., • Automate infrastructure provisioning and management using tools like Ansible or similar., • Improve system efficiency by automating recurring tasks and eliminating manual processes., • Monitor system performance, troubleshoot issues, and ensure optimal uptime and security., • Maintain and enforce best practices in system design, security, and code quality.What You Have, • Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent work experience)., • 3+ years of experience in software engineering, DevOps, or infrastructure roles., • Strong programming/scripting skills in languages such as Python, TypeScript, or similar., • Experience with cloud platforms (AWS, GCP, Azure) and container orchestration., • Familiarity with infrastructure-as-code tools (AWS CDK, etc.)., • Knowledge of monitoring and logging systems (e.g., Prometheus, Grafana, Sentry)., • Solid understanding of networking, Linux systems, and security best practices., • Excellent problem-solving skills and the ability to work collaboratively in a team environment.What Will Set You Apart, • Familiarity with robotics systems or infrastructure to support robotic applications (e.g., ROS, real-time systems, sensor integration)., • Exposure to distributed systems and microservices architectures. We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.

Job DescriptionField AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.What You’ll Get To Do: • Design, implement, and optimize 2D/3D CNN and Transformer-based models for deployment on edge and embedded platforms (e.g., NVIDIA Jetson)., • Apply model compression techniques such as quantization, pruning, distillation, and weight sharing to achieve efficient real-time inference under strict constraints on power, bandwidth, and latency., • Convert, compile, and optimize neural networks for runtime using TensorRT, ONNX, CUDA, and C++., • Develop and maintain ROS nodes and interfaces that integrate perception models with the broader robotic system., • Collaborate closely with AI researchers, robotics engineers, and hardware teams to translate cutting-edge research into deployable solutions on edge devices., • Build benchmarks, profile and debug runtime issues, and validate performance against real-world scenarios., • Ensure the reliability, robustness, and stability of deployed models operating in challenging, resource-constrained environments.What You Have:, • 3+ years of professional experience in developing and deploying deep learning models for edge, embedded, or real-time systems., • BS, MS, PhD, or equivalent in Computer Science, Robotics, Electrical Engineering, or a related field., • Strong proficiency in PyTorch, C++, Python, and CUDA for AI/ML development and model optimization., • Hands-on experience with TensorRT, ONNX, TVM, or similar toolchains and compilers for edge deployment., • Proven track record applying model optimization techniques (quantization, pruning, distillation)., • Deep understanding of hardware limitations and performance tuning for Jetson, ARM, GPUs, or other embedded platforms., • Experience integrating AI models into ROS-based robotic systems., • Skilled in profiling and debugging GPU workloads, with familiarity using tools like Nsight or CUPTI., • Ability to work independently and collaboratively within cross-functional teams in a fast-paced, iterative environment.The Extras That Set You Apart:, • Familiarity with JAX or additional ML frameworks beyond PyTorch., • Experience with compiler-level optimizations for GPU inference. We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.

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