About The Role

Our software team is growing and we are looking for a talented engineer to join our agile, world-class team. In this role you will develop autonomous behaviors for humanoid robots to interact with the world around it. You will work closely with state estimation, navigation, and controls teams to execute behaviors aimed at solving challenging problems in real-world deployments.

About The Work

• Design, implement, test, and deploy autonomous behaviors for humanoid robots
• Prototype autonomous behaviors in simulation and execute on robot hardware
• Develop algorithms robust to environmental uncertainty and imperfect state estimation
• Implement performance tests for evaluating the reliability of robot behaviors
• Contribute to the software architecture and design of the autonomy stack
• Collaborate with members of the autonomy teams to solve complex cross functional problems
• Engineer high quality software that is well tested, reliable and maintainable

About You

• Industry experience deploying mobile manipulation robots in real world applications
• Experience developing manipulation algorithms on high-DOF robots
• Familiarity with behavior trees, finite state machines, or similar behavior management and execution systems
• Experience with perception and scene understanding especially as it pertains to manipulation
• Strong robotics fundamentals, including kinematics, dynamics, sensing, and control
• Experience using simulation tools such as Isaac Sim / Mujoco / Drake / gazebo or similar
• Experience with automated testing for simulation
• Strong debugging skills; the ability to identify and diagnose complex issues that arise within robotics
• Strong software experience in modern C++ and Python

Bonus Qualifications

• Experience working with humanoid (or similar) robots
• Experience leveraging machine learning to improve grasp planning and object manipulation
• Experience in classical robotics motion planning and trajectory optimization algorithms
• MS or Ph.D. in robotics, computer science, or related field or have equivalent industry experience
• Publications in your field (RSS, ICRA, IROS preferred)

We are open to remote candidates, but a prefer this role to be hybrid position based out of one of our Salem, Pittsburgh, or Fremont offices.  

The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.

About The Role

As a Sales Solutions Engineer at Agility Robotics, you will play a critical role in accelerating the adoption of our humanoid robotic systems across enterprise customers. You will partner closely with the Sales, Product, and Field Engineering teams to engage strategic clients, scope complex deployments, and design integration solutions that showcase the full potential of Agility’s humanoid platforms.

You will leverage deep technical expertise across robotics, autonomy, and enterprise systems to influence customer architectures, drive solution design, and ensure successful onboarding and scaling of our technology in real-world environments. As a senior member of the team, you will act as a trusted technical advisor to both internal and external stakeholders, helping shape solution roadmaps and translating field insights into future product evolution.

About The Work

• Own technical discovery and solutioning with strategic enterprise clients: conduct deep dives into customer environments, operational workflows, and integration requirements for humanoid robotics applications (e.g., logistics, manufacturing, material handling).
• Act as the technical authority during pre-sales engagements: lead workshops, system demonstrations, proofs-of-concept, and technical evaluations to accelerate deal closure.
• Design and communicate integration architectures: build scalable deployment models, specifying hardware/software interfaces, perception and manipulation requirements, fleet management integration, and safety considerations.
• Collaborate with internal engineering and product teams to translate customer use cases, feature requests, and operational constraints into actionable feedback that informs product roadmap decisions.
• Lead technical solution proposals for RFPs and large-scale opportunities, ensuring high-quality responses across system capabilities (performance, compliance, data handling, reliability).
• Estimate technical effort for customizations, third-party integrations, and pilot programs, aligning with Delivery and Field Engineering on implementation resourcing.
• Serve as a technical mentor to more junior Solutions Engineers and Sales team members, helping uplift the technical acumen across the broader commercial organization.
• Ensure seamless post-sales transition by articulating customer-specific requirements, success criteria, and integration context to project execution teams.
• Advocate for customer success: support existing accounts with adoption of new platform features, system upgrades, and expansion opportunities.

About You

• 5–7 years of experience in a Solutions Engineer, Sales Engineer, Field Applications Engineer, or similar customer-facing technical role, preferably within robotics, autonomous systems, industrial automation, or enterprise hardware/software integration.
• Strong technical foundation, ideally across robotics concepts
• Experience designing or supporting real-world deployments of robotics systems/industrial automation in operational environments (e.g., warehouses, manufacturing plants, distribution centers).
• Proven ability to articulate complex technical solutions in simple, compelling terms to technical and non-technical audiences alike — supported by strong skills in architecture diagrams, systems design, and technical storytelling.
• Demonstrated strategic thinking and commercial awareness — ability to design solutions that balance technical rigor with business viability and operational scale.
• Hands-on experience building and delivering proof-of-concept projects, demos, or pilot programs for cutting-edge technology.
• Comfortable working in a fast-paced, ambiguous environment typical of emerging technologies.
• A working knowledge of CAD software (AutoCAD, etc)
• Ability to travel (~40–60%) for client meetings, deployments, and trade shows.
• Authorization to work in the USA

Location

• This is a fully remote role with the option to work hybrid if a commutable distance from our Salem, OR, Pittsburgh, PA, or Fremont, CA offices.

The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.

About The Role

Join the team building a modern Software Delivery System system focused on tooling, automation, reliability, and secure software delivery at scale, powering enterprise-grade, next-generation industrial humanoid robotics.

As a Staff/Senior Staff Software Engineer – Build & Release, you will drive systems that accelerate our software development lifecycle across the company. Define how software is built, validated, and delivered across robotics, cloud, firmware, and simulation. Safeguard the reliability, safety, and security of release systems at scale.

You will join a rapidly growing team, equipping robotics, cloud, and test engineering teams with essential tools, systems, and processes to build and deploy robot and edge software efficiently and safely.

This role sits at the intersection of:

• CI/CD and release automation
• Reliability engineering
• Software supply chain security
• Policy-driven delivery systems

Design and operate mechanisms that ensure releases are deterministic, traceable, safe, observable, compliant, and routine—even as engineering velocity and system complexity increase.

Key Responsibilities

• Vision & Ownership
• Design, implement, and advance a modern release engineering system for safe, reliable, low-friction delivery across robots, cloud, and edge.
• Own tools, processes, and standards for secure, observable, high-confidence code-to-production deployment systems.
• Define and drive adoption of versioning, artifact, and promotion standards across the organization.
• Collaboration & Standardization
• Collaborate with Software, Hardware, Quality, Security, and Product teams. Establish scalable release workflows and delivery standards.
• Transform requirements into automated, policy-driven delivery systems that infuse reliability, security, and compliance throughout the SDLC.
• Establish and scale self-service “golden paths” for build, test, and release.
• Execution & System Evolution
• Own and evolve build and release systems (e.g., Bazel, CI/CD pipelines) for performance, scalability, determinism, and artifact integrity.
• Create self-service tooling for release creation, versioning, and deployment orchestration.
• Manage build and release systems as production infrastructure. Establish SLIs/SLOs and maintain strong observability.
• Advance quality, safety, and security with automated testing. Enforce policy-based gates and validate artifacts.
• Technical Leadership (Core Responsibility)
• Act as the technical authority for release engineering, guiding how software is built and delivered across the company
• Drive adoption of standardized release patterns and practices across teams.
• Lead cross-functional design and decision-making.
• Establish and refine release principles and guardrails (determinism, traceability, auditability, safety).

What We’re Aiming For

• A one-touch, self-service CI/CD and release platform that enables safe, reliable, and repeatable delivery of robot, edge, and cloud software at scale.
• A deterministic, traceable, and auditable software delivery system where every build and release is reproducible, policy-driven, and compliant by default.
• A build and test infrastructure that autoscales and matches developer demand, with clearly defined SLOs for performance, reliability, and turnaround time.
• Standardized build, versioning, and artifact management across all teams, supporting diverse targets and environments without fragmentation.
• Integrated, multi-layer validation systems (simulation, HIL, integration, and release gating) that provide high-confidence signals for safe deployment.

Required Qualifications

• 8+ years of experience in software, platform, or release engineering, with demonstrated Staff-level ownership and cross-team impact
• Proven experience designing and operating CI/CD and build/release systems at scale as production infrastructure
• Strong expertise in build systems and artifact management, with experience in Bazel or similar large-scale build systems
• Experience building deterministic, reproducible systems (builds, pipelines, or deployments), including performance and scalability considerations
• Deep experience with end-to-end delivery systems, including release orchestration and failure recovery
• Strong understanding of cloud-native systems, containers, and infrastructure as code (e.g., Kubernetes, AWS/GCP, Terraform or equivalent)
• Experience defining and operating SLIs/SLOs and observability for CI/CD, build, or platform systems
• Demonstrated ability to lead cross-functional technical initiatives, define standards, and drive adoption across robotics, cloud, and platform teams

Bonus Qualifications

• Experience in robotics, autonomous systems, or embedded/firmware delivery
• Familiarity with hardware-in-the-loop (HIL) or simulation-based validation systems
• Experience designing or evolving large-scale build/release architectures (e.g., migrations, system redesigns)
• Experience building policy-driven or compliance-aware delivery systems (e.g., SBOMs, signing, SOC2/ISO environments)

Why This Role?

• Contribute to building and advancing the platform that delivers software to robots and edge systems in real-world environments
• Zero-to-One + Scale: Design and implement new release systems while transforming and standardizing existing CI/CD and build infrastructure
• High-leverage impact: Your work directly enables faster, safer, and more reliable deployment of intelligent robotic systems at scale
• Define standards and drive adoption of delivery systems organization-wide
• Remote-first, high-trust culture: Work with a strong, distributed engineering team focused on building reliable, production-grade systems

This is a fully remote role with the option to work hybrid if a commutable distance from our Salem, OR, Pittsburgh, PA, or Fremont, CA offices.

The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.

About the Role

Our software team is growing and we are looking for talented engineers to join our agile, world-class team. Our Robot Platform team is the foundational core of our product, dedicated to providing a robust, reliable, and secure software substrate that accelerates all robot feature development. We own the critical layers that all other software teams build upon: middleware, core services, configuration, and telemetry.

As a Staff/Senior Staff Software Engineer you will be the key architectural driver, operating at the intersection of long-term strategy and deep technical execution. You will define the component boundaries, communication patterns, and golden path for our robot software stack, while championing engineering excellence and mentoring high-performing engineers across the organization. This role is a rare opportunity to own and evolve mission-critical, cross-cutting systems, from high-performance robotics frameworks to the centralized belief state and behavior coordination engines, ensuring our physical robots operate reliably in dynamic, real-world environments.

Key Responsibilities

Strategic Ownership & Execution:

• Define and Evolve Architecture: Own and drive the long-term technical direction for the robot software stack, including component boundaries, data contracts, inter-process communication protocols (RPC/streaming), and deployment workflows.
• Core Frameworks & Services: Take hands-on ownership of the critical, cross-cutting frameworks and core services that are fundamental dependencies for all robot features, such as:
• Behavior coordination and state machine frameworks.
• The robot’s belief state and world representation.
• Simulation and playback timing coordination mechanisms.
• Advanced logging, telemetry, and configuration management libraries.
• Performance & Reliability: Drive performance, determinism, and reliability improvements across the entire on-robot software stack, and evaluate and introduce major infrastructure upgrades.
• Internal Tooling: Lead the strategy and execution for internal developer tooling, including advanced debugging utilities and scripts for provisioning and testing within simulation and hardware environments.

Influence & Mentorship:

• Technical Advisor: Act as the primary technical advisor, mentoring Senior and Staff-level engineers on system design, developer experience, and best practices across the full software development lifecycle.
• Drive Adoption: Champion the adoption of internal tools and foundational frameworks by cultivating strong collaboration and iterating based on organizational feedback.

Collaboration & Alignment:

• Engineering Partnership: Partner directly with AI, Controls, and Perception teams to ensure frameworks meet their performance and capability needs, accelerating their feature delivery.
• Data Platform: Coordinate with the Data Platform team on advanced logging, serialization, and telemetry strategies.
• Release Alignment: Align with OS and Release teams on container, image, and deployment primitives, focusing on high-level integration points rather than low-level operating system ownership.

Required Qualifications

• 12+ years of professional experience in high-performance, real-time, or deeply embedded software engineering, with a significant track record in robotics or similar complex, integrated systems.
• Demonstrated expertise in defining and evolving large-scale software architectures, and a history of ownership over mission-critical, cross-cutting frameworks.
• Mastery of modern C++ and expert-level proficiency in systems programming on Linux.
• Expertise in designing, building, and operating low-latency and highly reliable distributed systems, particularly those with strict timing and determinism requirements.
• Proven experience mentoring and providing architectural guidance to Staff and Principal-level engineers.
• Exceptional ability to autonomously gather complex, cross-team requirements, communicate high-stakes technical trade-offs, and deliver foundational internal solutions.

Bonus Qualifications

• Robotics industry experience.
• Familiarity with 3D graphics programming.
• Proficiency in Rust or Go.
• Kubernetes or other container orchestration systems.
• Bazel or other or similar build systems.
• Experience writing and extending code generators.

Why This Role?

• Impactful Work: Everything you build will be used by engineers across the company every day.
• Physical Impact: Your software decisions directly affect real robots operating in dynamic environments.
• Collaboration: Work closely with robotics, cloud platform, and application engineers on mission-critical workflows.

Engineering Culture: Remote-friendly with a strong emphasis on developer experience, mentorship, and technical excellence.

The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.

About The Role

Join the Autonomy team as a Senior Software Engineer where you will architect and contribute to the core robot software platform by driving the development of critical software modules and their interfaces. You will establish a data-driven approach to system performance by building scalable telemetry and metrics infrastructure, alongside rigorous regression testing plans, to track KPIs and monitor long-term reliability. This high-impact role is essential for enabling the next phase of commercial scaling by ensuring the robot can reliably perceive, plan, and execute complex tasks within dynamic environments.

About The Work

• Drive the implementation of selected middleware solutions to optimize communication and scalability across the core software platform.
• Define, document, review, and enforce process boundaries and API contracts, driving organization-wide alignment.
• Collaborate closely across the robot software and architecture teams to solve complex, cross-functional problems and ensure robust performance on physical robot hardware.
• Own and maintain the large-scale regression pipelines to automatically measure critical autonomous behavior metrics and track key performance indicators (KPIs) across motion planning, navigation, and localization.

About You

• Demonstrated expertise in designing and implementing multi-process robot architectures and distributed systems. Proficiency with different robotics middleware solutions (e.g., ROS, DDS, custom messaging) and experience with inter-process/inter-machine communication.
• Strong experience developing and maintaining telemetry/metrics pipelines (e.g., using OpenTelemetry/Otel). Proficiency in querying and analyzing large datasets using SQL-like big data tools (e.g., Amazon Athena, Spark SQL) and time-series databases (e.g., Prometheus, InfluxDB).
• Demonstrated expertise in simulation at scale, including techniques like domain randomization and procedural content generation. Hands-on experience transitioning models/behaviors from simulation (e.g., Gazebo, MuJoCo, Isaac Sim) to real-world physical robot hardware.
• Proficiency in programming languages commonly used in robotics/testing (Python, C++).
• Experience with CI/CD pipelines (e.g., Git, Jenkins, GitHub Actions) and containerization technologies (e.g., Docker, Kubernetes) for scaling simulation and deployment environments.
• Deep understanding of robotics fundamentals, including kinematics, dynamics, controls, and perception.
• MS or Ph.D. in Robotics, Computer Science, or a related field, or equivalent industry experience.

Bonus Qualifications

• Familiarity with cloud storage solutions and data lakes (e.g., AWS S3, Google Cloud Storage).
• Hands-on experience creating impactful data visualizations and dashboards using tools like Datadog, Grafana, or Apache Superset.
• Experience training or deploying Reinforcement Learning (RL) agents for complex autonomous behaviors.
• Publications in top-tier robotics or related conferences (RSS, ICRA, IROS).

This a hybrid position based out of one of our Salem, Pittsburgh, or Fremont offices.

The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.

About The Role

Join the Autonomy team as a Senior Software Engineer focused on Navigation. You will be a core contributor, driving the design and deployment of real-time motion planning and navigation systems that empower our humanoid robots to operate robustly and autonomously in complex logistics and manufacturing environments. This is a high-impact role essential to scaling our commercial deployments, improving the efficiency of autonomous loco-manipulation behaviors, and achieving software readiness for the next generation robot platforms.

About The Work

• Design, implement, and deploy 3D motion planning algorithms for locomotion, with an emphasis on whole-body collision-aware motion execution in real-time.
• Own the core components of our navigation stack, specifically the local planning maps, terrain models, and grid map representations used for path and motion planning with collision avoidance.
• Advance our locomotion capabilities by developing and maintaining a 3D footstep path planner aiming to significantly reduce navigation cycle times.
• Define and implement the necessary navigation features and route planning algorithms to enable coordinated movement and resource sharing within multi-agent robot fleets.
• Drive the maturity of our release processes by designing, implementing, and maintaining robust regression testing pipelines for motion planning and navigation modules.
• Collaborate with the AI and Controls teams to integrate locomotion behaviors with RL policies and support whole-body control.
• Integrate and debug planning algorithms on real-world hardware, owning the transition from simulation environments (e.g., Gazebo, MuJoCo, Isaac Sim) to physical robots.

About You

• 5+ years of professional experience in robotics, specifically developing and deploying real-time navigation and motion planning systems for autonomous mobile platforms (humanoids, quadrupeds, autonomous vehicles).
• Expertise in 3D/volumetric map representations (e.g., octomaps, voxel grids) for local path planning and collision avoidance.
• Deep technical understanding of locomotion-specific path and motion planning algorithms, including sampling-based planners (RRT/PRM), optimization-based methods (MPC/LQR), and hybrid A*.
• Expert proficiency in modern C++ (C++17/20), with a proven track record of writing high-performance, multithreaded code for robotics applications.
• Experience with common robotics frameworks (e.g., ROS/ROS2, DDS) and hands-on experience with modern optimization libraries relevant to motion planning (e.g., Ceres, IPOPT, OSQP).
• Proven ability to systematically test and debug systems on physical robots, and integrate perceived environment data (LiDAR, camera, depth sensing) into the planner.

Bonus Qualifications

• Experience training and deploying Reinforcement Learning (RL) agents for complex locomotion behaviors.
• Hands-on experience implementing Model Predictive Control (MPC) or similar optimization-based control techniques for dynamic robot locomotion.
• Familiarity with perception pipelines and the integration of perceived environment data into the planning stack.
• Experience with GPU-accelerated spatial data structures (e.g., NVBlox, specialized CUDA implementations) for high-throughput, low-latency map updates and querying.
• Strong foundational knowledge of robot kinematics, dynamics, controls, and state estimation (e.g., EKF, particle filters).
• Experience with multi-robot coordination/route planning and abiding by boundary constraints in a workcell map.
• Experience with multi-robot mapping and localization, including map persistence and sharing capabilities.
• Publications in top-tier robotics conferences (ICRA, RSS, IROS, CoRL).

This a hybrid position based out of one of our Salem, Pittsburgh, or Fremont offices.

The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.

What We Do

The IT & Enterprise Solutions teams have the twin responsibilities of making the technology that every Agility Robotics uses as effective and frictionless as possible while also optimizing the performance of our corporate technology stack. We do that by promoting secure, repeatable processes, supporting data wherever it lives, and delivering elegant solutions whenever possible.

Everyone at Agility Robotics is a stakeholder and a partner. Enterprise Solutions has a diverse range of functions, including support of MRP/ERP solutions, RFQ/RFP of in use or new products to align business teams, systems architecture, PLM, and scaling our manufacturing operations.

Responsibilities

• Partner with business stakeholders to develop process maps, use cases, and requirements for business processes in engineering, operations and finance.
• Develop and maintain an Enterprise Application Architecture.
• Manage selection, implementation, enhancement, and integrations for enterprise applications.
• Lead, manage, and develop the Enterprise Applications team to ensure operational excellence and professional growth.
• Facilitate training and change management to support user adoption of new technologies and processes.
• Evangelize core software and technology to the user-base for adoption.
• Together with the IT Director, define and manage the Enterprise Applications roadmap, prioritizing projects that deliver measurable business value.
• Ensure proper training and development of Enterprise Applications staff to meet business needs.
• Assist in the development, maintenance, and testing of disaster recovery plans.
• Participate with the IT director in annual budgeting activities.
• Ensure compliance with data governance, security, and privacy standards.
• Identify and track Key Performance indicators (KPI’s) for monitoring ES application health, uptime, and security.
• Manage vendor relationships with the IT Director.

Requirements

• 7+ years’ experience as a Systems Analyst or similar role in a discrete manufacturing environment.
• 3+ years’ leadership experience managing an applications or business systems team.
• Demonstrated continued professional growth and development.
• Hands-on experience with ERP deployment and administration
• Bachelor’s degree in information technology, engineering, manufacturing or related field experience.
• Excellent written and oral communication skills

Bonus Qualifications

• Demonstrated experience in Leadership capacity across company wide projects/product deployment.
• Demonstrated experience addressing business challenges with automation, manufacturing, and data holistics. 
• Experience working in a discrete manufacturing environment.
• Experience working with ERP and MES systems.
• Experience managing projects using Agile methodologies.

What We Value

In addition to our core values, which are not unique to this position and are necessary for Agility Robotics employees:

• We value high-performing creative individuals who dig into problems and opportunities
• We strongly believe everyone should be treated with respect and dignity while performing the duties and responsibilities of their position
• We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company
• We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply

This is a fully remote role with the option to work hybrid if a commutable distance from our Salem, OR, Pittsburgh, PA, or Fremont, CA offices.

The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.

Overview

Agility Robotics is pioneering the humanoid robotics segment, developing systems that bridge advanced AI, hardware, and real-world deployment at scale. As the company accelerates commercialization of its next-generation humanoid platform, the Chief of Staff to the CEO plays a critical leadership role in shaping and delivering the company’s most high-impact strategic programs.

Reporting directly to the CEO, this role leads a high-caliber team responsible for driving alignment, executional speed, and enterprise-level value creation. The Chief of Staff functions as a strategic accelerator—a highly focused, agile executive translating strategy into measurable outcomes that position Agility Robotics as the clear leader in humanoid robotics.

Purpose of the Chief of Staff to CEO 

To ensure Agility Robotics maintains strategic focus, executional speed, and disciplined alignment across the initiatives that most directly determine leadership in the humanoid robotics category.

Core Responsibilities

Leadership & Execution

• Own a Strategic Portfolio: Manage a portfolio of strategic programs that enable Agility’s humanoid leadership, ensuring executional discipline, risk mitigation, and milestone delivery.
• Operational Cadence: Establish operating cadence, program reviews, and executive reporting frameworks in partnership with the Executive Leadership Team (ELT) and program teams.
• Collaboration with Engineering: Provide strategic oversight for a portfolio of engineering programs and work collaboratively with Technical Program Managers (TPMs) that report into the engineering organization to ensure efforts are synchronized with enterprise-level strategic priorities.
• Governance Frameworks: Establish program governance frameworks, milestones, and KPIs to ensure delivery of high-priority initiatives on time, within scope, and at quality.

Cross-Functional Leadership & Alignment

• ELT Engagement: Directly engage with the ELT on a regular basis to ensure initiatives remain on track, providing high visibility and accountability for results.
• OKR Management: Drive OKR alignment and provide visibility across the ELT to support and drive achievement across the entire organization.
• Internal Communication: Lead cross-functional teams across org-wide meetings to ensure the organization is advised on progress against OKRs and educated on key company initiatives.

Thought Partnership & Culture

• Senior Advisor: Act as a thought partner to senior leadership, synthesizing data, insights, and trade-offs into clear recommendations and decision frameworks.
• Performance Culture: Foster a culture of analytical rigor, accountability, and high-bar output within the team and across all program teams.
• Risk Mitigation: Anticipate and mitigate risks in complex technical programs while maintaining agility in execution.

Qualifications

• Experience: 15+ years of experience in operations or leadership within emerging technology, robotics, or high-growth sectors.
• Track Record: Proven ability to drive large-scale, complex, cross-functional initiatives from concept through commercialization with executive-level accountability.
• Technical Acumen: Deep strategic and analytical skills with significant exposure to complex hardware-software systems; experience in robotics or automation environments is strongly preferred.
• Education: Bachelor’s degree in engineering, computer science, or related technical field required; Top-tier MBA or Master’s in a technical field strongly preferred.
• Leadership: Strong executive presence, communication, and leadership skills capable of influencing at C-suite levels.

This a hybrid position based out of one of our Fremont, CA office.

The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: job-related knowledge, skills, and experience. Agility Robotics is a multi-state employer and this salary range may not reflect positions who work in other locations. These ranges may be modified in the future.

We are seeking a highly organized, proactive, and professional Executive Assistant in the Bay Area to provide critical day-to-day support to our senior leadership team. This is a critical role, balancing strategic support responsibilities within a team of administrative professionals. The position requires discretion, sound judgment, and the ability to manage multiple priorities with poise. The ideal candidate is a creative problem-solver who takes initiative, thrives in a fast-paced environment, and helps elevate the executives they support and fosters best practices as an administrative team as a whole.

About the Work

• Provide calendar management, meeting coordination, and travel arrangements for senior executive leaders.
• Prepare and organize meeting materials, including agendas, presentations, and minutes.
• Handle confidential and sensitive information with the utmost discretion.
• Support budget tracking, invoice processing, and expense reporting across departments.
• Coordinate cross-functional projects and monitor progress on departmental initiatives.
• Plan and execute team events, offsites, and internal meetings.
• Work closely with the extended administrative team ensuring overall priority alignment, consistency, and best practices.
• Help foster a “service minded team” environment and tone for elevated service, professionalism, and collaboration.
• This role requires working Pacific Time Zone hours.
  
  

About You

• 5+ years of experience supporting multiple c-suite executives preferably at a tech startup. 
• Proven ability to thrive balancing hands-on execution with nuanced and dynamic responsibilities.
• Exceptional organizational and time management skills working across multiple time zones.
• Strong technology proficiency with Google Workspace, Asana, Zoom, Slack, and travel booking platforms.
• Strong written and verbal communication skills.
• High level of professionalism, discretion, and a proactive “no task too small” attitude.
• Ability to manage multiple priorities with grace, efficiency, and attention to detail.
• A positive and energetic teamplayer who thrives in a centralized and collaborative setting.
• Bonus points for having a great sense of humor!

This a hybrid position based out of one of our Fremont, CA office.

The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: job-related knowledge, skills, and experience. Agility Robotics is a multi-state employer and this salary range may not reflect positions who work in other locations. These ranges may be modified in the future.

About The Role

The Senior Manager of AI Innovation will be a key leader within our cutting-edge humanoid robotics company, bridging the gap between cutting-edge AI/ML research and functional robotic applications. Your mission is to drive research that derisks our product roadmap by solving complex robotics challenges on the one to two year time horizon. This will include driving initiatives from concept stage to minimal viable product across domains such as perceptive real-time planning, whole body-control, and learning from demonstration. You will manage a high-performing team of researchers and engineers, fostering a culture of rigorous experimentation, problem based research, failing fast, and extreme ownership.

About The Work

• Oversee the lifecycle of innovation projects, from initial research and whiteboarding to "proof-of-concept" deployment on humanoid platforms.
• Owns the success of the AI Innovation program, holding themselves and the team accountable for quality and delivery.
• Drive research into novel AI solutions for complex robotics challenges, such as real-time planning, human-robot interaction, and adaptive motor control.
• Accelerate our data flywheel strategy to combine teleoperation, synthetic data, and fleet learning to expand the fleet performance and reliability.
• Partner with Hardware and Robot Software teams to ensure that next-generation sensor suites are optimized for future AI architectures.
• Champion the existing team's talent and represent their needs to senior leadership.
• Manage performance cycles, create individualized development plans, and lead hiring to scale the AI Innovation team.
• Foster a safe and collaborative environment within the team, encouraging open dialogue and the freedom to learn from failed experiments.

Required Qualifications

• Advanced degree (M.S. or Ph.D.) in Computer Science, Robotics, Electrical Engineering, or a related field.
• Minimum of 8 years of experience in AI/ML, with at least 3 years in a management role.
• Demonstrated experience in developing and deploying real-time AI solutions for robotics, autonomous systems, or other mission-critical applications.
• Strong expertise in core AI domains, including computer vision, reinforcement learning, and large language models (LLMs) applied to robotics.
• Proven track record of managing scaling high-performance engineering or research teams.
• Experience deploying models on resource-constrained edge devices, balancing inference speed, power consumption, and thermal limits.

This is a fully remote role with the option to work hybrid if a commutable distance from our Salem, OR, Pittsburgh, PA, or Fremont, CA offices.

The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.

Overview

The Director of AI will be a pivotal leader within our cutting-edge humanoid robotics company, driving the strategic direction and execution of all artificial intelligence and machine learning initiatives. This role requires a knowledgeable technologist and a skilled manager capable of championing and leading our existing high-performing team to develop the AI foundation for the next generation of humanoid robots. The successful candidate will be instrumental in defining the AI architecture, ensuring ethical implementation, and delivering robust, real-time AI capabilities that enable our robots to interact intelligently and safely with the world.

Core Responsibilities and Deliverables

Strategic Leadership and Vision

• Define and champion the overall AI strategy and roadmap in alignment with the company's product vision and business goals.
• Lead the selection and integration of advanced machine learning models, algorithms, and deep learning techniques relevant to embodied AI (e.g., perception, manipulation, natural language understanding).
• Foster a culture of innovation, rigorous research, and responsible AI development that supports the team's ongoing success.
• Ensure that all AI systems adhere to the highest standards of safety, privacy, and ethical guidelines.
• Partner with Hardware and Robot Software leadership to ensure the sensor suite and embedded compute are optimized for current and future AI model architectures.

Technical Execution and Development

• Oversee the design, development, and deployment of on-robot and cloud-based AI systems, leveraging the existing team's expertise.
• Establish MLOps best practices for efficient model training, deployment, monitoring, and iteration.
• Drive research into novel AI solutions for complex robotics challenges, such as real-time planning, human-robot interaction, and adaptive motor control.
• Deliver production-ready AI models that meet performance, latency, and reliability requirements for commercial deployment.
• Spearhead the Sim2Real strategy, utilizing physics-based simulation (e.g., MuJoCo, Isaac Sim) to train robust policies that transfer seamlessly to hardware.
• Accelerate our data flywheel strategy to combine teleoperation, synthetic data, and fleet learning to expand the fleet performance and reliability.

Team Building and Hiring

• Champion the existing team's talent and represent their needs to senior leadership.
• Develop a comprehensive hiring plan to staff and scale the AI team, including defining required roles (e.g., ML Engineers, Data Scientists, AI Researchers).
• Lead recruitment, mentorship, and career development for all members of the AI team.
• Manage the budget allocated for team salaries, equipment, and necessary infrastructure.

Resourcing and Budgeting

• Forecast and manage the budget for cloud computing resources (GPUs, TPUs) necessary for large-scale model training and experimentation.
• Secure and allocate funding for specialized datasets and data annotation services.
• Evaluate and procure necessary software licenses and tools for AI development and simulation.
• Regularly report on expenditure and resource utilization to senior leadership.

Required Qualifications

• Advanced degree (M.S. or Ph.D.) in Computer Science, Robotics, Electrical Engineering, or a related field.
• Minimum of 8 years of experience in AI/ML, with at least 3 years in a senior leadership or directorial role.
• Demonstrated experience in developing and deploying real-time AI solutions for robotics, autonomous systems, or other mission-critical applications.
• Strong expertise in core AI domains, including computer vision, reinforcement learning, and large language models (LLMs) applied to robotics.
• Proven track record of managing significant technical budgets and scaling high-performance engineering and research teams.
• Experience deploying models on resource-constrained edge devices, balancing inference speed, power consumption, and thermal limits.

This is a fully remote role with the option to work hybrid if a commutable distance from our Salem, OR, Pittsburgh, PA, or Fremont, CA offices.

The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.

About the Role

The Director of Talent Acquisition serves as a strategic and hands-on leader responsible for designing, implementing, and managing Agility Robotic’s recruitment strategy. This role is responsible for building a best in class, high-performing recruiting team to attract, acquire, and onboard the best talent at Agility and is a strategic partner to executive leadership, driving innovative talent solutions that directly support the company's aggressive growth objectives and competitive advantage.

About the Work

• Plan, develop, implement, and manage full-cycle recruitment processes across all functions including Engineering (Software and Hardware), Operations (Supply and Manufacturing), G&A, GTM and Executive roles.  
• Hire, train, manage and inspire a talent acquisition team, fostering a culture of high performance, collaboration, continuous learning, and accountability and ensuring their growth and progression within the career framework.
• Develop innovative hiring methodologies through identifying unique and non-traditional sources for finding candidates.
• Oversee campus recruiting, diversity recruiting programs, and other strategic talent initiatives.
• Partner with Finance, HRBPs, and business leaders to align hiring plans and ensure strong accountability and collaboration towards hiring goals. 
• Partner closely with business leaders to design role-specific assessment frameworks based on the career framework.
• Track and analyze recruiting metrics (time-to-fill, source of hire, candidate experience, event ROI, etc.) and continuously optimize processes based on data. 
• Architect and execute the Talent technology roadmap including our ATS, assessment tools, CRM, and sourcing platforms. 
• Develop and manage the Talent Acquisition budget, optimizing resource allocation and demonstrating ROI.
• Serve as an internal subject matter expert on labor market trends, talent intelligence, and competitive compensation.
• Work collaboratively with Agility's marketing team to ensure employer branding efforts, including social media presence, job postings, and recruiting activities at industry events is aligned with Agility's overall brand posture.
• Leverage AI tools and external recruiting partners, agencies, and communities when needed to maximize efficiency and impact. 
• Ensure strict compliance with all local, state, and federal employment laws and regulations.

About You:

• 15+ years of Talent Acquisition/People Ops experience with at least 7 years managing teams and Talent transformations. 
• Proven ability to scale a TA organization in high-growth, tech environments. 
• Experience recruiting across engineering and operations, filling hard-to-fill roles as well as non-exempt production workforce. 
• Hands-on experience leading executive searches (VP → C-suite) with creative sourcing and high-touch processes. 
• Ideally both big tech and startup experience. 
• Proven track record selecting, implementing, and driving adoption of Talent technology (ATS, CRM, automation, analytics, assessment tools).
• High EQ with the ability to communicate articulately and effectively across the business. 
• Metrics-first mindset: comfortable building and using dashboards, running experiments, and driving decisions from data.
• Trusted advisor to senior leaders; proven ability to influence without relying on authority.
• Passion for building high-performing teams and having a positive attitude.