Role

We are looking for a Staff Site Reliability Engineer to join our team. This role will report to the Senior Manager, Site Reliability Engineering and offers the flexibility of hybrid (3 days a week) out of San Jose, CA, or can be performed fully remote. 

As a key member of the Zero Trust Exchange team, you will be responsible for all aspects of the Zscaler production data center services, including servers, operating systems, storage, and supporting systems. You will be an instrumental part of the Site Reliability Engineering team, ensuring the availability, latency, performance, efficiency, and scalability of a cloud that processes tens of billions of transactions daily.

What you’ll do (Role Expectations)

• Own the reliability of a large-scale cloud service (Linux/BSD, bare metal, Kubernetes, custom load balancing, SD-WAN) by partnering with Engineering and Network teams to define requirements early, conduct operability reviews, and contribute code/design docs for platform resilience
• Develop and operate end-to-end observability (metrics/logs/traces, dashboards, alerting) and incident tooling to manage SLOs/error budgets, reduce noise, and improve system detection and diagnosis
• Participate in an on-call rotation to lead full-cycle incident response; perform deep cross-stack troubleshooting (OS, networking, distributed systems, packet captures, core dumps) to drive permanent software fixes and codify learnings into runbooks and tests
• Build and maintain everything-as-code for fleet and service lifecycle, driving provisioning, configuration, release automation, canary deployments, and complex rollout/rollback workflows
• Continuously improve platform hygiene through consistent OS/app upgrades, dependency/vulnerability patching, capacity and performance tuning, and strict CI/CD validation prior to production rollouts

Who You Are (Success Profile)

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You operate with urgency. You understand that in a high-growth environment, speed and quality are not mutually exclusive. You have a relentless focus on execution and a bias for action, delivering high-impact results quickly to win for the customer and the team.
• You think at scale. You connect your day-to-day work to the larger company mission and think globally. You build solutions, processes, and teams that are not just effective today but are built to last and support a high-growth, global organization.

What We’re Looking for (Minimum Qualifications)

• US Citizenship is required (due to the nature of assigned customers) and 5+ years industry experience in software engineering, infrastructure software, and/or platform engineering
• Proficiency in at least one programming language (such as Python, Bash, or Go) with demonstrated ability to write production-quality code (testing, code reviews, CI, maintainable design,scripting for diagnostics
• Strong Linux/Unix systems fundamentals (process/memory, filesystems, networking stack basics, debugging/perf troubleshooting) and solid understanding of networking protocols and components (e.g., HTTP, DNS, TCP/IP, ICMP, OSI model, subnetting, and load balancing/traffic concepts)
• Proven experience operating production services (including incident response, troubleshooting, reducing toil) and ability to participate in on-call rotations and support occasional after-hours or weekend deployments
• Managing BSD in production, with a focus on driving systemic fixes through platform engineering

What Will Make You Stand Out (Preferred Qualifications)

• Proven expertise in operating Kubernetes at scale
• Deep experience with the Prometheus/OpenTelemetry ecosystems, including instrumenting golden signals, defining SLOs, and performing alert tuning to ensure high-availability environments

#LI-KM9 #LI-Remote

Role 

We are looking for a Software Engineer (Reliability) to join our team in San Jose, CA, reporting to the Vice President of Engineering. This is a hybrid role three days a week onsite within the Service Platform Automation department.

You will build and operate the orchestration and reliability automation that manages ZIA’s fleet lifecycle at massive scale. This is a high-ownership role: you will design and implement orchestration workflows and the supporting services needed for safe, deterministic, idempotent fleet operations—while helping the team evolve toward AI-first execution and operations.

What you’ll do (Role Expectations)

• Replace legacy Python/Ansible with a centralized, deterministic orchestration platform, refactoring automation into modular, well-defined workflows while retiring external dependencies and nested logic

• Engineer execution patterns with retries, idempotency, rate limits/backpressure, and safe rollbacks/compensation designs aligned to global fleet capacity

• Implement safe rollouts using segmentation, canaries, and automated health checks to limit blast radius during fleet-wide upgrades and remediation

• Add strong observability and auditability (metrics, traces, replayable histories), participate in on-call rotation, and drive software based fixes to reduce toil following post-incident reviews

• Integrate AI/LLM capabilities to accelerate legacy code migration and enhance safe operational outcomes through intelligent triage, correlation, and automated runbook generation

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.

• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.

• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.

• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• BS/MS in Computer Science or a related technical field with 5+ years of experience building and operating production-grade software systems

• Strong proficiency in backend/systems languages (Go, Java, C++, or Rust) with the ability to write high-quality, maintainable code

• Deep experience designing and operating distributed systems, including concurrency, failure handling, performance optimization, and data modeling

• Proven track record of building automation using REST APIs and Swagger with strong guarantees for idempotency, verification, and safe rollout patterns

• Hands-on experience with cloud platforms (AWS/GCP, GKE, Cloud SQL etc.) and proficiency in containerization and CI/CD workflows using Docker and GitLab

What Will Make You Stand Out (Preferred Qualifications)

• Experience with Temporal (or similar platforms) to architect large-scale fleet systems for patching, upgrades, and remediation using deterministic, health-gated workflows and replay-safe designs

• Testing discipline for orchestration and state machines, including E2E harnesses, determinism verification, fault injection, and chaos engineering to ensure system reliability

• Proficiency in PostgreSQL, including SQL development and schema management, to power high-scale, stateful management-plane services and workflows

#LIHybrid #LI-BH1

About the Company

DiDi's autonomous driving unit was established in 2016 with the mission of developing Level 4 autonomous driving (AD) technology to make transportation safer and more efficient. In August 2019, the unit became an independent company, DiDi Autonomous Driving, dedicated to advanced AD R&D, product application, and business expansion. We believe integrating AD technology into a shared-mobility fleet will generate immense social value. By leveraging DiDi's specialized technology, operational expertise, and integrated ecosystem, we are positioned to build and operate a highly efficient, user-oriented autonomous fleet.

• Perform optimization on simulation software under the guidance of profiler.
• Identify and resolve algorithm deficiencies that affects simulation determinism.
• Implement new simulation capabilities that fits new hardware.

• PhD, Master’s students or senior undergraduate students majoring in Computer Science or a related field.
• Strong C++ development skills with experience in performance-critical applications.
• Deep understanding of computer architecture.
• Great communication skills that fosters cross-team collaboration.
• Familiarity with robotics (perception, motion planning) is a plus.
• Experience with GPU/CUDA programming is a bonus.
  

The hourly rate for the Intern position in the selected city is $46.

I acknowledge that prior to submitting this application, I have read and accepted the Privacy Notice for California Residents which is available on https://v.didi.cn/AQnxlBa

About The Company

DiDi's autonomous driving unit was established in 2016 with the mission of developing Level 4 autonomous driving (AD) technology to make transportation safer and more efficient. In August 2019, the unit became an independent company, DiDi Autonomous Driving, dedicated to advanced AD R&D, product application, and business expansion. We believe integrating AD technology into a shared-mobility fleet will generate immense social value. By leveraging DiDi's specialized technology, operational expertise, and integrated ecosystem, we are positioned to build and operate a highly efficient, user-oriented autonomous fleet.

About The Role

We are seeking an experienced and mission-driven Staff System Safety Engineer, Autonomy to lead the safety strategy and deployment readiness of our fully autonomous driving systems. In this role, you will define and implement the safety frameworks, release policies, and system-level engineering processes that enable safe and scalable unmanned operations. You will act as a technical leader in system safety, ensuring that our vehicles meet rigorous safety standards while advancing toward large-scale commercial deployment.

Responsibilities

• Own the safety evaluation and release strategy for unmanned autonomous driving operations, defining clear criteria for system release, degradation, and fallback under varying operating conditions.
• Design, implement, and champion the safety-related systems engineering framework, including safety requirements, system architecture, and Verification & Validation (V&V) plans.
• Conduct systematic assessments of unmanned operational workflows, emergency protocols, and supporting tools/platforms to ensure safety and operational completeness.
• Develop and institutionalize safety evaluation methodologies and metrics frameworks, translating safety goals into quantifiable, verifiable, and continuously tracked indicators.
• Serve as the technical lead for safety-related incident review and analysis during unmanned operations, driving continuous improvements in system design, test coverage, and operational procedures.
• Collaborate cross-functionally with Software, Product, Operations, and Safety teams to support leadership decisions regarding unmanned deployment, city expansion, and operational scaling.

Qualifications

• Bachelor’s or higher degree in Computer Science, Software Engineering, Systems Engineering, or a closely related technical field.
• 5+ years of industry experience in systems engineering, safety engineering, autonomous systems, or a directly related field.
• Strong systems thinking with the ability to decompose complex safety challenges and drive practical, scalable solutions.
• Demonstrated ability to collaborate across teams, influence stakeholders, and take ownership of safety outcomes.
• Experience working in a fast-paced environment with multiple parallel projects and ambiguous requirements.

Preferred Qualifications

• Professional experience in safety-critical autonomous vehicle deployment or large-scale robotic systems operations.
• Background in functional safety (ISO 26262, SOTIF) or safety assurance of unmanned systems.
• Hands-on experience with safety validation tools, simulation-based V&V, or operational safety monitoring platforms.
• Proven track record of defining release policies or safety readiness criteria for real-world autonomous systems.

The base salary range for this full-time position is $178,286-296,400 annually in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

I acknowledge that prior to submitting this application, I have read and accepted the Privacy Notice for California Residents which is available on https://v.didi.cn/AQnxlBa

About The Company

DiDi's autonomous driving unit was established in 2016 with the mission of developing Level 4 autonomous driving (AD) technology to make transportation safer and more efficient. In August 2019, the unit became an independent company, DiDi Autonomous Driving, dedicated to advanced AD R&D, product application, and business expansion. We believe integrating AD technology into a shared-mobility fleet will generate immense social value. By leveraging DiDi's specialized technology, operational expertise, and integrated ecosystem, we are positioned to build and operate a highly efficient, user-oriented autonomous fleet.

About The Role

We are seeking a Software Engineer /Sr. Software Engineer to join our team and develop the core decision-making and motion planning systems for our autonomous vehicles. In this role, you will be responsible for creating the algorithms that enable smooth, safe, and intelligent navigation in complex environments. You will tackle challenges across the full motion planning stack, from high-level behavioral reasoning to low-level trajectory optimization.

Responsibilities

• Design and implement the core Behavioral Planning logic that determines the vehicle's high-level actions (e.g., lane changes, merges, yields, and interactions with other agents).
• Develop and optimize the motion planning algorithms that execute behavioral decisions, integrating Geometry Reasoning (path) and Speed Reasoning (velocity) into a cohesive trajectory.
• Architect and enhance the geometry system for generating geometrically feasible and compliant paths.
• Architect and refine the velocity system for generating context-aware, comfortable, and safe velocity profiles.
• Model complex driving scenarios and agent interactions to create a robust world model for the behavioral planner.
• Design different costs for trajectory ranking to trade off ETAs, comfort and safety of the vehicle behaviors.
• Conduct in-depth analysis, testing, and debugging of the system's performance in various scenarios, leading root cause investigations.
• Collaborate with Prediction, Perception, and Control teams to ensure a seamless flow from environmental understanding to physical vehicle motion.
  
  

Qualifications

• B.S./M.S. in Computer Science, Robotics, or a related field.
• Experience in autonomous systems, robotics, or automotive software development.
• Strong proficiency in C++ for implementing complex, real-time algorithms.
• Solid understanding of robotics fundamentals, including decision-making, motion planning, control theory, trajectory ranking, search and optimization algorithms etc.
• Related experience in one or more of the following: behavioral planning, motion planning, behavior and world environment reasoning, trajectory ranking and cost design.
  
  

Preferred Qualifications

• PhD or internship experience related to robotics planning system designs.
• Knowledge of vehicle dynamics and longitudinal/lateral control systems.
• Solid understanding of machine learning principles, reinforcement learning and related algorithms.
  
  

The base salary range for this position is $129,189-$214,776 for Software Engineer and $148,594-247,038 for Sr. Software Engineer, annually in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

I acknowledge that prior to submitting this application, I have read and accepted the Privacy Notice for California Residents which is available on https://v.didi.cn/AQnxlBa

Samsung Semiconductor is hiring now for a Staff Engineer, Memory Systems Architecture.  The conventional DRAM failure analysis was physical electrical FA and physical FA. But, in the era of Data center, it is easier to track the field failure information. With this data set, Fault management team’s role is finding DRAM failure mode, abnormality and failure rate projection.

You will be part of an incubation team working on in-field telemetry intended to transform the Customer Quality Experience for Samsung memory products. Fault Management is the future of quality to minimize system downtime within AI/ML hardware deployments and workloads of the future. We analyze trends and patterns from enormous memory fleet telemetry to bucketize failures and perform virtual root-cause analysis. Telemetry analysis helps us design solutions to proactively avoid system downtime. We conduct research and develop both in-house and collaboratively in the industry with the opportunity to publish our findings through whitepapers and conferences. We are looking for innovative and passionate thinkers who can work in a start-up environment and are excited to shape the future of data centers around the world. Join us in our mission!

What You'll Do

• Based on the knowledge of SOC controller and memory operation including RAS feature, find and recommends better solution to mitigate the field DRAM failure rate.
• Needs to communicate better ECC scheme to customers based on Samsung DRAM failure mode(DQ and burst)
• Interface with customers to establish the value add of enabling in-field fault management architecture
• Contribute to the standardization of DRAM/HBM failure logging in the OCP.
• Propose and develop platform RAS (Reliability Availability Serviceability) algorithms for memory fault management such as page offlining, hPPR and conduct POC with known failure DIMMs in the real server and application.

Location: Daily onsite presence at our San Jose headquarters in alignment with our Flexible Work Policy.

Job ID: 42886

 What You Bring

• Bachelor’s degree with 10+ years of relevant industry experience, or Master’s with 8+ years or PhD with 5+ years hardware fault management, reliability, data center fleet management experience or related technical field preferred. (Must)
• Knowledge of platform memory subsystem, platform RAS (Reliability Availability Serviceability) such as ECC, page offlining, hPPR and hardware sparing.
• ECC design and verification and reverse engineering experience.
• Understanding on the address mapping between CPU and memory.
• Memory controller register modification.
• Linux kernel commit experience.
• DRAM and HBM failure mode understanding.
• You’re inclusive, adapting your style to the situation and diverse global norms of our people.
• An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
• Innovative and creative, you proactively explore new ideas and adapt quickly to change.

#LI-MD1

Position Summary

Antora Energy is hiring a Manager of Facilities and Equipment to be the internal owner of our facilities, capital equipment, and physical operating environment across multiple Bay Area sites. This is a hands-on leadership role: leading multi-site planning, capital project delivery, and EHS compliance while directly improving site readiness, equipment uptime, and safety. The Manager partners with Operations, Manufacturing Engineering, R&D, EHS, IT, and Security — and with external OEMs, riggers, contractors, and rental vendors — and will lead the evolution of Antora's facilities function from contractor-supported toward internally led as the company scales.

Roles & Responsibilities

Facilities Leadership & Strategy

• Serve as the primary internal owner of facilities, capital equipment, and infrastructure across all Antora environments; lead planning, budgeting, and capital roadmapping.
• Establish policies and standards (PM, change management, vendor onboarding, safety), manage internal facilities technicians and external contractors
• Participate in lease negotiations for new and existing San Jose area facilities. Ensure facilities activities are in compliance with lease terms.

Site Operations & Infrastructure

• Own infrastructure across electrical (208V/480V), HVAC, exhaust, process gases (N2, compressed air), DI/distilled water and cooling loops, and wastewater.
• Run preventative maintenance (PM) and reliability programs across all sites; maintain site diagrams, equipment registers, and asset inventories.
• Diagnose and repair basic issues with capital and building infrastructure equipment. Maintain an adequate stock of equipment spares.
• Monitor facilities resource usage (Utilities, propane, nitrogen, etc): suggest upgrades to meet cost targets and ensure facilities meet operational requirements. 

Capital Equipment & Project Execution

• Own installation, relocation, and commissioning of capital equipment — including but not limited to CNC mills, coat tracks, fume hoods, evaporators, HF benches, dicing tools, cranes, hoists, and material-handling equipment.
• Lead site-prep and tie-ins (concrete, anchoring, power and gas drops, exhaust, cooling water); run capital projects on scope, schedule, and budget.

Permitting, EHS & Compliance

• Support EHS with facility-level compliance with BAAQMD air permits, Silicon Valley hazardous materials, wastewater discharge, and building/fire/life-safety codes; manage relationships with city inspectors and Authorities Having Jurisdiction (AHJs).
• Partner with EHS to enforce safety standards (LOTO, machine guarding, gas detection) and lead corrective action on facility and equipment safety issues.

Material Handling, Security & Workplace Systems

• Own the material handling fleet (forklifts, telehandlers, lifts, cranes, hoists, tuggers) and rental relationships; ensure operator certifications and PMs are current.
• Own physical security and access control (badging, visitor parking, CCTV, alarms, fencing)
• Partner on facilities related workplace ticketing workflows.

Cross-Functional Collaboration

• Partner with Manufacturing Engineering and R&D to align facility readiness with EVT/DVT builds and production ramps; 
• Partner with IT on site networks and AV infrastructure installations.
• Partner with Business Operations to provide input on building cleanliness/janitorial services for all facilities; support office space buildout; support insurance inspections/visits and diligence, monitoring and benchmarking of ESG (Environmental Social Governance).

Initial Success Metrics (First 6–9 Months)

• Antora can clearly explain and defend its facilities footprint, utility capacity, and equipment register to auditors, investors, and AHJs.
• Accurate site diagrams, equipment lists, and PM schedules are in place across all sites.
• Open permits, expirations, and pending inspections are continuously visible; no equipment is held up by permit gaps.
• Capital equipment installs land on schedule and budget, with documented commissioning and acceptance.
• Site uptime, safety incident trends, and corrective actions are tracked and reviewed monthly with leadership.

Key Qualifications

• Bachelor's degree in Engineering, Facilities/Construction Management, or a related discipline (or equivalent experience).
• 8–10 years of progressive facilities, capital equipment, or plant engineering experience, including 2+ years leading a team.
• Multi-site facilities and equipment management experience in a hardware, manufacturing, semiconductor, biotech, or heavy-R&D environment.
• Strong working knowledge of industrial electrical (208V/480V), process gases, HVAC, cooling water/chillers, and wastewater systems.
• Experience leading capital equipment installation end-to-end and navigating Bay Area permitting (BAAQMD, SV Haz Mat, local building/fire) or equivalent.
• Genuine enthusiasm for AI tools and willingness to lean into AI-driven facilities and asset management solutions.

Additional Qualifications Desired

• Hands-on familiarity with semiconductor, cleanroom, or thermal/energy tooling (e.g., coat tracks, evaporators, dicing tools, HF benches, fume hoods).
• Experience implementing CMMS / asset management programs and preparing facilities for audits or investor due-diligence.
• Professional certifications such as PE, CFM, FMP, SFP, or equivalent.

Personal Attributes

• Structured thinker who documents systems and builds scalable, repeatable processes.
• Pragmatic problem solver who balances safety and compliance rigor with operational speed.
• Calm under pressure — the go-to person when something critical breaks.

Work Location:  Onsite - San Jose, CA

Salary Range:  $142,000 USD - $170,000 USD

Salary Basis:  Annual

Please note that the salary range listed above reflects Antora Energy's estimated pay for this position. The actual salary offered will be within the posted range and determined based on several factors including but not limited to a candidate's experiences, credentials and expertise, as they pertain to the position's requirements.

In addition to a competitive base salary, Antora Energy’s Total Rewards program includes equity compensation in the form of stock options, a premium health benefits package with life and disability insurance, a 401K plan with employer contributions, flexible spending accounts, and an industry leading paid-time-off policy that features flexible and inclusive holiday observance, as well as paid volunteer time off.

#LI-Onsite

About the Role

We are looking for a Senior Platform Engineer to join the Workload team within the Veeam R&D Department. You will own critical observability infrastructure, drive incident response maturity, and help scale proactive support capabilities as operational accountability. 

What You’ll Do

• Design, build, and maintain observability pipelines using the Elastic Stack (Elasticsearch, Kibana, Fleet) across Azure and AWS workloads 
• Develop and own SLO/SLI dashboards and error budget reporting for BaaS platform services 
• Respond to and lead incident response for distributed, multi-tenant cloud workloads; own runbook creation, maintenance, and continuous improvement
• Build and refine proactive support tooling, including pattern analysis, tenant correlation dashboards, and baseline deviation alerting, to reduce reactive support burden 
• Manage and maintain Elastic Fleet agent policies, enrollment health, and log streaming pipelines across Azure and AWS worker fleets 
• Partner with SRE, R&D, and Proactive Support teams to close observability gaps, including tenant identification workflows and admin portal integrations 

Technologies we work with

• ⁠Elastic Stack — Elasticsearch, Kibana, Elastic Fleet, KQL, Query DSL
• Azure Kubernetes Service (AKS), Azure Container Apps, VMs
• Azure Security — Entra ID, Managed Identities (user/system assigned), App Registrations, Key Vault
• Infrastructure as Code — Azure Bicep, Terraform, or Pulumi
• CI/CD — Azure DevOps, GitHub Actions
• ITSM tooling — ServiceNow, Salesforce, Jira, Incident.io (for tenant and incident workflows) 

What You’ll Bring

• 5+ years of experience in cloud platform engineering, SRE, or infrastructure roles supporting commercial SaaS products
• Deep hands-on experience with Elastic Stack: Building dashboards, writing KQL/Query DSL, managing Fleet
• Proven experience operating and troubleshooting distributed, multi-tenant workloads on Azure and/or AWS
• Strong understanding of Azure cloud services: AKS, Entra ID, Key Vault, Service Bus, Cosmos DB, Private Endpoints, etc.
• Experience with incident response in production cloud environments, including runbook development and post-incident review
• Experience with IaC tools (Azure Bicep, Terraform) and CI/CD pipelines (Azure DevOps, GitHub Actions) 
• Strong scripting skills in Bash, Python, or PowerShell
• Ability to work cross-functionally with SRE, product, and customer-facing support teams 

Bonus Skills

• Familiarity with Veeam Data Platform products 

#LI-AA3

Figure is an AI Robotics company developing a general purpose humanoid. Our Humanoid is designed for corporate tasks targeting labor shortages and jobs that are undesirable or unsafe. We are based in San Jose, CA and require 5 days/week in-office collaboration. 

We are seeking a Robotics Integration Engineer to drive system-level integration and validation across hardware, firmware, controls, AI, perception, and software. You will plan, execute, and oversee subsystem integration and full-system bring-up, ensuring reliable performance and consistency across the entire robot ecosystem. This is a highly technical, hands-on role focused on debugging, root cause analysis, and validating system functionality to make humanoid robots perform reliably in the real world.

Responsibilities: 

• Integrate and validate system-level changes across hardware, controls, behavior, AI, and perception subsystems.
• Architect and execute bring-up, validation, and end-of-line (EOL) test processes for humanoid robots.
• Develop test tools and automation scripts in C++ and Python to streamline integration and data analysis.
• Design and run validation plans that stress full-robot functionality across real-world use cases.
• Debug and triage cross-disciplinary issues spanning mechanical, electrical, firmware, and software systems.
• Collaborate with design, controls, behaviors and software teams to define testable behaviors and verify subsystem performance.
• Instrument robots using diagnostic tools (oscilloscopes, logic analyzers, telemetry logs) to characterize performance and identify failure modes.
• Build dashboards, metrics, and reports to track system performance and fleet health over time.
• Document integration workflows, test results, and lessons learned to improve future build efficiency.
• Contribute to the automation of regression testing and continuous validation across the robot fleet.

Requirements: 

• Bachelor’s or Master’s degree in Robotics, Electrical Engineering, Mechanical Engineering, Computer Science, or a related field.
• 3–5+ years of experience working with complex robotic or electromechanical systems.
• Proficiency in C++ and Python for software development, scripting, and debugging.
• Strong system-level understanding across hardware, firmware, and software layers.
• Experience with Linux, Git, and standard diagnostic tools (oscilloscope, multimeter, log analyzers).
• Hands-on experience validating real-time control systems, behaviors, or perception pipelines.
• Ability to thrive in a fast-paced, lab-focused R&D and production environment.

Bonus Qualifications: 

• Experience with humanoid or legged robots.
• Familiarity with ROS2, behavior trees, or motion planning frameworks.
• Background in hardware bring-up, calibration systems, or production-level validation.
• Exposure to high-reliability or safety-critical robotic systems.

The US base salary range for this full-time position is between $170,000 - $250,000 annually.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. 

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is based in San Jose, CA and requires 5 days/week in-office collaboration.

We are seeking a motivated Mid-Level Full-Stack Engineer to own the end-to-end lifecycle of our robot fleet telemetry, data management, and visualization tools. This role bridges the gap between raw hardware signals and actionable human-centric insights. You will design and maintain the data pipelines that process high-volume fleet telemetry while building the front-end interfaces that power fleet health monitoring, regression detection, and executive reporting.

Responsibilities: 

• Data Pipeline Engineering: Design, implement, and maintain scalable data pipelines to process high-volume fleet telemetry and subassembly data into analytics-ready datasets.
• Full-Stack Development: Architect, design, and deploy tools for robot configuration, diagnosis, calibration, and user interaction.
• Data Visualization: Develop and maintain curated datasets and frameworks powering dashboards, regression monitoring tools, and fleet-level KPIs.
• API & Framework Design: Build scalable, well-documented APIs to support mission-critical operations and self-service analytics.
• Data Governance: Establish and enforce data quality standards, schema governance, and tagging conventions to ensure long-term maintainability of the telemetry layer.
• Cross-Functional Collaboration: Partner with Robotics, Middleware, and Operations teams to translate operational needs into structured data models and visualization requirements.
• System Analysis: Support raw-signal investigations and serve as a primary data owner during incident investigations to enable cross-subsystem root-cause analysis.

Requirements: 

• Education: Bachelor’s or Master’s degree in Computer Science, Data Engineering, Robotics, or a related field.
• Experience: 3+ years of industry experience in software development or designing telemetry/analytics platforms.
• Front-End Expertise: Proficiency in JavaScript/TypeScript, HTML5/CSS, React, and Next.js.
• Back-End & Data: Strong proficiency in Python and SQL; experience building cloud-based data pipelines (e.g., AWS S3, Glue, Redshift).
• Infrastructure: Experience with Docker for containerization and deployment.
• Systems Interest: A strong interest in working on software systems that interact with real hardware.
• Communication: Exceptional verbal and written communication skills with the ability to partner with both engineering and business stakeholders.

Bonus Qualifications: 

• Platform Experience: Direct experience using Databricks for data engineering, Spark processing, or analytics.
• Robotics: Prior experience with robotics, autonomous systems, or hardware-in-the-loop telemetry.
• Advanced Analytics: Experience supporting anomaly detection or ML-based telemetry analysis pipelines.
• Distributed Systems: Experience with distributed data processing tools such as PySpark.
• Custom Systems: Prior experience working with custom hardware/software integrations.

The US base salary range for this full-time position is between $150,000 - $240,000 annually.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. 

About The Company

DiDi's autonomous driving unit was established in 2016 with the mission of developing Level 4 autonomous driving (AD) technology to make transportation safer and more efficient. In August 2019, the unit became an independent company, DiDi Autonomous Driving, dedicated to advanced AD R&D, product application, and business expansion. We believe integrating AD technology into a shared-mobility fleet will generate immense social value. By leveraging DiDi's specialized technology, operational expertise, and integrated ecosystem, we are positioned to build and operate a highly efficient, user-oriented autonomous fleet.

About The Role

The Foundation Model Team focuses on building large-scale foundation models for multi-agent behavior prediction and autonomous vehicle planning. By leveraging DiDi Voyager’s unparalleled driving data, we train highly robust and generalizable deep learning systems that enable safe and intelligent autonomous driving at scale.

Our models serve as the core intelligence of the autonomous driving stack, enabling vehicles to understand complex traffic scenarios, anticipate agent behavior, and make safe and efficient driving decisions.

We operate at the intersection of large-scale machine learning, autonomous driving, and foundation model research, pushing the frontier of multi-agent prediction and planning.

Responsibilities

As a member of the Foundation Model Team, you will:

• Design and train large-scale deep learning models for:

• Multi-agent trajectory prediction

• Behavior and intent prediction

• Planning and decision-making

• Build foundation model architectures (Transformers, Diffusion, Flow-based models, Decision models, VLM/VLA)

• Develop scalable training pipelines across hundreds to thousands of GPUs

• Work with massive real-world datasets and build high-quality data pipelines

• Optimize models for latency, reliability, and on-vehicle deployment

• Collaborate closely with perception, mapping, simulation, and systems teams

• Drive research ideas into production systems used by real autonomous vehicles

Qualifications

• Strong background in machine learning, deep learning, or robotics

• Experience with PyTorch / JAX / TensorFlow

• Solid understanding of modern neural architectures (transformers, diffusion, auto-regressive)

• Strong coding skills in Python and C++

• Passion for building real-world, safety-critical AI systems

Preferred Qualifications 

• BS, MS or PhD in Computer Science, Machine Learning, Robotics, or a related field

• Experience in autonomous driving, robotics, or embodied AI

• Experience training large models on distributed GPU clusters

• Experience with trajectory prediction, planning, or decision-making systems

• Publications in top ML / robotics conferences (NeurIPS, ICML, ICLR, CVPR, RSS, CoRL, etc.)

The base salary range for this position is $129,189-$247,038 annually in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

I acknowledge that prior to submitting this application, I have read and accepted the Privacy Notice for California Residents which is available on https://v.didi.cn/AQnxlBa

Via is on a mission to create public transportation systems that provide greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners around the world, Via is recognized as the leading transportation technology and service provider globally.

As an Operations Manager at Via, you are the force that keeps our services running reliably for the communities that depend on them. This is a high ownership, boots-on-the-ground role where you’ll lead daily operations, tackle real-time challenges, and continuously elevate the rider and driver experience.

**This is a fully in-person position with the expectation that you will be onsite 4-5 days per week.**

What You’ll Do:

• Run the daily onsite operations of our service. You’ll make sure our operations run smoothly to provide our riders with safe, reliable, and accessible transportation.
• Make informed, real-time decisions about fleet, driver supply, compliance, , rider needs, and unexpected issues - stepping in quickly to ensure continuously excellent and dependable service.
• Guide and support drivers - building strong relationships, addressing concerns, and ensuring they feel equipped to deliver great service.
• Turn rider and community feedback into tangible improvements, spotting patterns and collaborating with internal teams to make thoughtful and actionable operational improvements.
• Use data and technology to understand service performance, diagnose problems, and implement solutions that enhance efficiency and rider experience.
• Act as the operational bridge between city partners, drivers, and Via central teams to help bring the community's goals to life.

Who You Are:

• Operationally experienced, with a background in people management, logistics, customer service, or process-oriented work.
• Relationship oriented, earning trust from drivers, riders, teammates, and city partners through clear communication and follow-through.
• Hands-on and proactive, preferring to be in the field, learning the service firsthand, and solving problems where they happen.
• Tactical and strategic, able to problem-solve issues as they come up but also think long term about solutions to mitigate these occurrences.
• Mission driven, motivated by expanding access to transportation and improving how communities move.
• You possess a deep understanding of the unique challenges of fixed-route transit, including managing time-point adherence, breakdown escalations, and the logistical complexities of run scheduling for large-scale operations.
• You are comfortable working around Class B/Class A vehicles and understand the specific safety, maintenance, and maneuvering requirements associated with 35-to-45-foot coach buses.
• You have a proven track record of managing and retaining professional CDL drivers, emphasizing a culture of safety and compliance (DOT/FMCSA) while maintaining high morale in a high-pressure, scheduled environment.
• Able to commute to the San Jose area 4-5 days a week.

Compensation and Benefits:

• Final salary will be determined by the candidate’s experience, knowledge, and skills. Salary reflected does not include equity or variable pay, where applicable.
• Salary Range: $75,000 - $95,000 / per year. 
• We are proud to offer a generous and comprehensive benefits package, including free medical plans and 401K matching.

There has never been a more exciting time to be on the cutting edge of public mobility. Ready to join the ride? 

Via is an equal opportunity employer.

Via is on a mission to create public transportation systems that provide greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners around the world, Via is recognized as the leading transportation technology and service provider globally.

As an Operations Manager at Via, you are the force that keeps our services running reliably for the communities that depend on them. This is a high ownership, boots-on-the-ground role where you’ll lead daily operations, tackle real-time challenges, and continuously elevate the rider and driver experience.

**This is a fully in-person position with the expectation that you will be onsite 4-5 days per week.**

What You’ll Do:

• Run the daily onsite operations of our service. You’ll make sure our operations run smoothly to provide our riders with safe, reliable, and accessible transportation
• Make informed, real-time decisions about fleet, driver supply, compliance, , rider needs, and unexpected issues - stepping in quickly to ensure continuously excellent and dependable service
• Guide and support drivers - building strong relationships, addressing concerns, and ensuring they feel equipped to deliver great service
• Turn rider and community feedback into tangible improvements, spotting patterns and collaborating with internal teams to make thoughtful and actionable operational improvements
• Use data and technology to understand service performance, diagnose problems, and implement solutions that enhance efficiency and rider experience
• Act as the operational bridge between city partners, drivers, and Via central teams to help bring the community's goals to life

Who You Are:

• Operationally experienced, with a background in people management, logistics, customer service, or process-oriented work
• Relationship oriented, earning trust from drivers, riders, teammates, and city partners through clear communication and follow-through
• Hands-on and proactive, preferring to be in the field, learning the service firsthand, and solving problems where they happen
• Tactical and strategic, able to problem-solve issues as they come up but also think long term about solutions to mitigate these occurrences
• Mission driven, motivated by expanding access to transportation and improving how communities move
• You possess a deep understanding of the unique challenges of fixed-route transit, including managing time-point adherence, breakdown escalations, and the logistical complexities of run scheduling for large-scale operations
• You are comfortable working around Class B/Class A vehicles and understand the specific safety, maintenance, and maneuvering requirements associated with 35-to-45-foot coach buses
• You have a proven track record of managing and retaining professional CDL drivers, emphasizing a culture of safety and compliance (DOT/FMCSA) while maintaining high morale in a high-pressure, scheduled environment
• Able to commute to the San Jose area 4-5 days a week

Compensation and Benefits:

• Final salary will be determined by the candidate’s experience, knowledge, and skills. Salary reflected does not include equity or variable pay, where applicable.
• Salary Range: $75,000 - $95,000 / per year. 
• We are proud to offer a generous and comprehensive benefits package, including free medical plans and 401K matching.

There has never been a more exciting time to be on the cutting edge of public mobility. Ready to join the ride? 

Via is an equal opportunity employer.

Via is on a mission to create public transportation systems that provide greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners around the world, Via is recognized as the leading transportation technology and service provider globally.

As an Operations Manager at Via, you are the force that keeps our services running reliably for the communities that depend on them. This is a high ownership, boots-on-the-ground role where you’ll lead daily operations, tackle real-time challenges, and continuously elevate the rider and driver experience.

**This is a fully in-person position with the expectation that you will be onsite 4-5 days per week.**

What You’ll Do:

• Run the daily onsite operations of our service. You’ll make sure our operations run smoothly to provide our riders with safe, reliable, and accessible transportation.
• Make informed, real-time decisions about fleet, driver supply, compliance, , rider needs, and unexpected issues - stepping in quickly to ensure continuously excellent and dependable service.
• Guide and support drivers - building strong relationships, addressing concerns, and ensuring they feel equipped to deliver great service.
• Turn rider and community feedback into tangible improvements, spotting patterns and collaborating with internal teams to make thoughtful and actionable operational improvements.
• Use data and technology to understand service performance, diagnose problems, and implement solutions that enhance efficiency and rider experience.
• Act as the operational bridge between city partners, drivers, and Via central teams to help bring the community's goals to life.

Who You Are:

• Operationally experienced, with a background in people management, logistics, customer service, or process-oriented work.
• Relationship oriented, earning trust from drivers, riders, teammates, and city partners through clear communication and follow-through.
• Hands-on and proactive, preferring to be in the field, learning the service firsthand, and solving problems where they happen.
• Tactical and strategic, able to problem-solve issues as they come up but also think long term about solutions to mitigate these occurrences.
• Mission driven, motivated by expanding access to transportation and improving how communities move.
• You possess a deep understanding of the unique challenges of fixed-route transit, including managing time-point adherence, breakdown escalations, and the logistical complexities of run scheduling for large-scale operations.
• You are comfortable working around Class B/Class A vehicles and understand the specific safety, maintenance, and maneuvering requirements associated with 35-to-45-foot coach buses.
• You have a proven track record of managing and retaining professional CDL drivers, emphasizing a culture of safety and compliance (DOT/FMCSA) while maintaining high morale in a high-pressure, scheduled environment.
• Able to commute to our San Jose location 4-5 days a week

Compensation and Benefits:

• Final salary will be determined by the candidate’s experience, knowledge, and skills. Salary reflected does not include equity or variable pay, where applicable.
• Salary Range: $75,000 - $95,000 / per year. 
• We are proud to offer a generous and comprehensive benefits package, including free medical plans and 401K matching.

There has never been a more exciting time to be on the cutting edge of public mobility. Ready to join the ride? 

Via is an equal opportunity employer.

We are seeking driven, experienced, and innovative modeling, simulation, and optimization engineers to join our Concept Development team and architect the future of electric flight. Our team develops multi-disciplinary physics simulations, advanced optimization methods, and large-scale cloud computing infrastructure, then deploys these tools to design optimal vehicle configurations.  We are exceptionally data-driven and rigorous in all of our methods.  We value a strong understanding of the fundamentals of numerical methods and assessments of analysis uncertainties. We are passionate about developing electric flight, and appreciate the opportunity we have in this time and place to steer and accelerate its future.

Members of this team will:

• Develop Archer’s multi-disciplinary optimization (MDO) engine, workflows, and high performance computing resources for aircraft concept development
• Translate business goals and use cases into optimization objectives and constraints.  
• Deploy the MDO engine to create optimal vehicle designs for use cases.
• Communicate findings to stakeholders and support executive decision making.
• Support systems engineers to transform their designs into high level requirements, and the broader Archer engineering team to turn it into reality.

Team Skills

Members of this team bring one or more of the following capabilities and past experiences:

• General aircraft concept design
• Development of Analysis of Advanced Air Mobility (AAM) network simulations and evaluation of fleet performance
• Design of eVTOL mission profiles, assessment of vehicle performance, identification of load cases
• Understanding of eVTOL vehicle control algorithms.
• Physics-based and semi-empirical modeling of electric powertrains; sizing of electrical powertrains.
• Coupled aerodynamic and structural modeling and optimization of fuselage, wing, and propeller via both high-fidelity (i.e. CFD, FEA) and reduced-order methods.
• Development of physics-based mass and cost estimation relationships (CERs) for aerospace components.
• Surrogate modeling via Neural Networks or Gaussian Processes (Kriging) for use as fast-running model proxies.
• Modeling complex multi-physics systems of ODEs and DAEs and solving them using numerical methods.
• Gradient-based optimization, including Automatic Differentiation and Adjoint methods.
• Direct collocation and simultaneous sizing/trajectory optimization.
• Evolutionary algorithms and/or other non-gradient based methods for discrete-variable optimization.
• Uncertainty Quantification (UQ) and sensitivity analysis methods.
• Deploying parallelized simulation, analysis, or optimization workflows on cloud infrastructure and systems to store, query, and handle the resultant large datasets.
• Collaborating with discipline experts to build accurate models and validate analysis and optimization results
• Communicating complex technical topics and driving consensus amongst both technical and non-technical stakeholders
• Proficient in Python with NumPy, SciPy, OpenMDAO, JAX, CasADi, SMT, PyTorch, and / or other specialized scientific and optimization packages.

Candidate Requirements

• We are currently open to hiring for this position at the Senior, Staff, or Senior Staff level. Your final leveling and base salary will be determined by interview calibration and a comprehensive assessment of your skills and experience.
• Senior Level: 5+ years of relevant engineering experience.
• Base Salary Range: $130,000 - $160,000
• Staff Level: 8+ years of relevant engineering experience, including a proven track record of architectural ownership and technical leadership.
• Base Salary Range: $160,000 - $200,000
• Senior Staff Level: 12+ years of relevant engineering experience, with a history of driving multi-year technical strategy and cross-organizational impact.
• Base Salary Range: $200,000 - $240,000

Additional Compensation: The base salary ranges listed above do not include our total rewards package. The final bonus and equity amounts will be determined during the interview calibration process.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

As a member of our Maintenance Engineering team you will report to the Manager of Maintenance Engineering, and will help develop the Technical Publications and its processes in support of certification efforts for Archer Aircraft.

What you’ll do

• Interfacing with Design Engineering and Technical Writers, as part of the Maintenance Engineering team, you will be responsible for authoring, reviewing and validating maintenance procedures for the Archer Midnight aircraft.
• Execute on project deliverables for the delivery of all Maintenance Manuals to Archer’s customers;
• Support the inception of aircraft into new customers fleet as it relates to Maintenance Manuals deliverables, and supporting activities.
• Supporting Archer customers as it relates to Maintenance activities at customer sites if required;
• Provide technical expertise to guide Archer’s Technical Publications process enhancements;
• Participate in creating the processes which will allow maintenance data gathering of scheduled and unscheduled maintenance findings to optimize the aircraft maintenance throughout its lifecycle;
• Be part of the implementation of the Technical Publications processes (development and sustainment);
• Contribute to improving internal processes and tools, ensuring adherence to certifying authorities requirements and the safety and reliability of the product;
• Support the ICA approval process with certification and validation authorities;

What we are looking for

• Collaborative mindset;
• Excellent verbal and written interpersonal communication;
• Passion for learning and problem solving;
• Bachelor’s degree in related field and 10+ years experience with aircraft maintenance or related field;

Technical

• Strong experience with technical publications authoring, reviewing and validation as a maintenance engineer;
• FAA A&P certified technician;
• Experience with S1000D projects, including Publication Modules, Data Modules, DMRL, etc;
• Knowledge of Extensible Markup Language (XML) and Standard Generalized Markup Language (SGML);
• Experience with Adobe Frame Maker and Adobe Illustrator;
• Experience with Simplified Technical English (ADS-STE100);
• Experience with style sheets (creating, modifying, integrating) creation and customization;
• Aircraft Fleet Configuration Management experience as applied to Technical Publications;
• Experience with processes and tools for distribution of Technical Publications, including Interactive Electronic Technical Publications (IETP) or Interactive Electronic Technical Manuals (IETM);
• Experience with Sustainment processes for technical publications, such as revision process, change requests, Service Bulletins;
• Experience with CSDB, XML authoring and Illustrations commercially available tools;
• Proficiency in manipulating 3D drawings using 3D tools, such as Siemens NX, CATIA, or other 3D modeling softwares;

Nice to have

• Experience with S1000D data exchange of Technical Publications and end customers Maintenance Tracking suites such as Trax, AMOS, Flightdocs and others;
• Experience with the maintenance task procedures validation process with the FAA;
• Comprehensive understanding of Instructions for Continued Airworthiness for aircraft products, including related FAA regulations;
• Experience with Siemens TeamCenter and NX;
• Fleet entry into service experience as operator or OEM;
• Airline quality or maintenance programs or technical publications experience;
• FAR 91 and 135 operational experience in the maintenance department;
• Strong knowledge of, or experience with FAR 145, repair stations.

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications.

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $126,000- $220,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

What you’ll do:

• Conduct aerodynamic testing and analysis in support of Subpart B Flight Characteristics and Performance certification
• Develop tools to analyze and process flight test data
• Establish flight test parameter tolerances and data quality metrics
• Perform in-depth analysis of flight test data and compare with predictions, including data expansion across the entire flight envelope. Generate test reports to document findings and recommendations.
• Develop substantiation documentation for showing compliance with airworthiness criteria
• Interface with the FAA and DERs related to airworthiness and compliance
• Collaborate with the Flight Test organization to plan and execute flight test events to collect data to validate aerodynamic models as well as vehicle performance and requirements
• Develop methods, processes and documentation for aircraft fleet support (e.g., assessment and guidance for repairs, Configuration Deviation List, Minimum Equipment List)

What you need:

• BS / MS / PhD in Aerospace Engineering or a related field

• 10+ years of experience with BS, or 8+ years of experience with MS, or 4+ years of experience with PhD in flight testing fixed-wing aircraft and/or rotorcraft, tiltrotor, eVTOL
• Experience with accepted flight test techniques on fixed-wing aircraft and/or rotorcraft, tiltrotor (e.g., AC 27-1B, AC 29-2C, AC 23-8C, AC 25-7D, ASTM Standards, or ADS-33)
• Demonstrated certification experience with 14 CFR Part 27, 29, 23 and/or 25 Subpart B for a new type design (strongly preferred) or amended/supplemental type design
• Strong understanding of fixed-wing and rotorcraft aerodynamics, performance, and stability & control
• Experience with flight test planning, instrumentation, execution, and data reduction techniques for design verification and certification purposes

• Familiarity in Python programming (strongly preferred) or Matlab/Simulink programming coding experience
• Excellent work planning and issue resolution skills
• Strong technical, written, and verbal communication skills
• Ability to work in groups and individually
• Experience in a fast-paced design environment

Bonus Qualifications:

• Familiarity with FAA AC 21.17-4 Type Certification – Powered-Lift
• Prior experience as a DER and/or ODA E-UM Flight Analyst
• Extensive experience with conventional airplane Part 23/25 and/or rotorcraft Part 27/29 certification basis and test methods for Subpart B
• Experience with wind tunnel testing and data processing of rotorcraft, tiltrotor, or eVTOL
• Extensive experience processing and showing aerodynamic data for FAA compliance
• Experience developing and expanding AFM performance charts (e.g., table expansion of weight, altitude and temperature)
• Direct experience working with regulatory agencies related to Subpart B Flight compliance (e.g., FAA Parts 23/25/27/29)
• Experience supporting Fault Hazard Assessment (FHA)
• Certification experience with aircraft or rotorcraft equipped with fly-by-wire flight control systems
• Experience with Handling Qualities Task Elements (HQTEs) and Cooper Harper Handling Qualities Rating (HQR)
• Control law and/or Guidance Navigation & Control (GNC) experience
• Experience developing complex Static Source Error Corrections (SSEC) with advanced knowledge of air data systems
• Familiarity with software development, object-oriented, version control best practices, as well as Git, CICD, Conda
• Familiarity with Curtiss Wright IADS

At Archer, we aim to attract, retain, and motivate talent with the skills and leadership needed to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s strategy. For this position, we are targeting a base pay range of $152,100 - $209,100. Actual compensation offered will be determined by job-related knowledge, skills, and experience.        

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

Figure is an AI Robotics company autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. We are based in North San Jose, CA and require 5 days/week in-office collaboration. It’s time to build.

We’re looking for an engineer to own the training and deployment backbone behind our RL-based whole-body control systems. This role sits at the intersection of robotics, machine learning, controls, and software systems engineering, and is critical to how quickly we can iterate, train, and deploy new capability to our fleet of humanoid robots.

Key Responsibilities:

• Own and scale the infrastructure used to train whole-body control policies (simulation, data pipelines, orchestration, visualizations)
• Design systems that are fast, reliable, and highly configurable for our controls engineers
• Ensure high cluster utilization and minimal downtime—unblocking the team and accelerating iteration cycles
• Evaluate and integrate physics engines, simulation environments, and parameterizations to balance realism and training speed
• Optimize hyperparameters and infrastructure to maximize training speed and efficiency and final model performance
• Build robust tooling to take policies from training → validation → deployment on hardware

Requirements:

• Strong software engineering fundamentals with production experience in Python and PyTorch
• Experience building or scaling training infrastructure for robotics, control systems, or large-scale ML workloads
• Familiarity with physics simulation tools such as NVIDIA PhysX, MuJoCo, Warp, or PyBullet
• Working knowledge of dynamics, controls, and robotics systems
• Experience with reinforcement learning, imitation learning, or policy distillation
• Strong ownership mindset—you own systems that your teammates rely on every day
• Experience modeling contact interactions and photorealistic simulation environments for complex manipulation tasks

Bonus Qualifications:

• Experience with humanoid or legged robot control
• Background in distributed systems, job schedulers, or cluster management
• Experience deploying ML models or control policies to real-world systems

The US base salary range for this full-time position is between $200,000 and $300,000 annually.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. 

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. 

We are looking for a Commercial Launch Service Technician to compliment our superstar team. The role requires technical expertise and strong mechanical ability to troubleshoot and repair our humanoid robot fleet. This role is unique, you will be on the front line during new site deployments, ensuring that both the robots and their supporting hardware are operational and optimized for customer-site.

Responsibilities: 

• Responsible for the physical setup of humanoid robots and necessary site infrastructure at new commercial or residential locations.
• Perform routine maintenance and inspections of the humanoid robot fleet
• Proficient in troubleshooting mechanical, electrical and software-based issues
• Work closely with engineering, build, validation and fabrication teams to resolve issues quickly
• Verify use-case stability on-site and provide direct, actionable feedback to the Development teams to drive product improvements.
• Maintain detailed and accurate records of all maintenance and repairs
• Develop tools and document diagnostic procedures for process improvement
• Heavy travel to customer or development partner sites, up to 75%
• Ability to follow assembly documentation
• Ability to work under short timelines when needed

Requirements: 

• 3+ years experience working with complex systems
• Familiarity with computer based tools such as but not limited to CMD prompt, Google Suite, in house development GUI’s
• Familiarity with electrical hardware based diagnostic tools such as but not limited to Scope, Digital MultiMeter, Current Probes
• Familiarity with torque tools and mechanical assembly
• Ability to read PCB and Harness schematics 
• Full system architecture diagnostic experience and organized diagnostic processes 
• Ability to remove and replace mechanical components up to 50lbs
• Great attitude and excited to face challenges
• Valid Driver's License and clean driving record

Bonus Qualifications: 

• Catia or CAD based program experience
• Fabrication experience
• PCB Rework experience
• DAQ system implementation experience
• Small brushless motor experience
• Harmonic drive, clutches, torque/force sensor  knowledge
• Robotics experience
• Experience using Jira, Confluence, Slack
• IPC 610, 620 or J-Std-001

The US base salary range for this full-time position is between $35 - $65/hr. 

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA.

We are looking for a Robot Service Technician to compliment our superstar team. The role requires technical expertise and strong mechanical ability to troubleshoot and repair our humanoid robot fleet.

SHIFT - 10:30pm to 7am

Responsibilities: 

• Perform routine maintenance and inspections of the humanoid robot fleet
• Proficient in troubleshooting mechanical, electrical and software-based issues
• Work closely with engineering, build, validation and fabrication teams to resolve issues quickly
• Maintain detailed and accurate records of all maintenance and repairs
• Develop tools and document diagnostic procedures for process improvement
• Occasional travel to customer or development partner sites
• Ability to follow assembly documentation
• Ability to work under short timelines when needed

Requirements: 

• 3+ years experience working with complex systems
• Familiarity with computer based tools such as but not limited to CMD prompt, Google Suite, in house development GUI’s
• Familiarity with electrical hardware based diagnostic tools such as but not limited to Scope, Digital MultiMeter, Current Probes
• Familiarity with torque tools and mechanical assembly
• Ability to read PCB and Harness schematics 
• Full system architecture diagnostic experience and organized diagnostic processes 
• Ability to remove and replace mechanical components up to 50lbs
• Great attitude and excited to face challenges

Bonus Qualifications: 

• Catia or CAD based program experience
• Fabrication experience
• PCB Rework experience
• DAQ system implementation experience
• Small brushless motor experience
• Harmonic drive, clutches, torque/force sensor  knowledge
• Robotics experience
• Experience using Jira, Confluence, Slack
• IPC 610, 620 or J-Std-001

The US base salary range for this full-time position is between $35 - $65/hr. 

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. 

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA.

We are looking for a Robot Service Technician to compliment our superstar team. The role requires technical expertise and strong mechanical ability to troubleshoot and repair our humanoid robot fleet.

SHIFT - 6:30am to 3pm

Responsibilities: 

• Perform routine maintenance and inspections of the humanoid robot fleet
• Proficient in troubleshooting mechanical, electrical and software-based issues
• Work closely with engineering, build, validation and fabrication teams to resolve issues quickly
• Maintain detailed and accurate records of all maintenance and repairs
• Develop tools and document diagnostic procedures for process improvement
• Occasional travel to customer or development partner sites
• Ability to follow assembly documentation
• Ability to work under short timelines when needed

Requirements: 

• 3+ years experience working with complex systems
• Familiarity with computer based tools such as but not limited to CMD prompt, Google Suite, in house development GUI’s
• Familiarity with electrical hardware based diagnostic tools such as but not limited to Scope, Digital MultiMeter, Current Probes
• Familiarity with torque tools and mechanical assembly
• Ability to read PCB and Harness schematics 
• Full system architecture diagnostic experience and organized diagnostic processes 
• Ability to remove and replace mechanical components up to 50lbs
• Great attitude and excited to face challenges

Bonus Qualifications: 

• Catia or CAD based program experience
• Fabrication experience
• PCB Rework experience
• DAQ system implementation experience
• Small brushless motor experience
• Harmonic drive, clutches, torque/force sensor  knowledge
• Robotics experience
• Experience using Jira, Confluence, Slack
• IPC 610, 620 or J-Std-001

The US base salary range for this full-time position is between $35 - $65/hr. 

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. 

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA.

We are looking for a Robot Service Technician to compliment our superstar team. The role requires technical expertise and strong mechanical ability to troubleshoot and repair our humanoid robot fleet.

SHIFT - 2:30pm to 11pm

Responsibilities: 

• Perform routine maintenance and inspections of the humanoid robot fleet
• Proficient in troubleshooting mechanical, electrical and software-based issues
• Work closely with engineering, build, validation and fabrication teams to resolve issues quickly
• Maintain detailed and accurate records of all maintenance and repairs
• Develop tools and document diagnostic procedures for process improvement
• Occasional travel to customer or development partner sites
• Ability to follow assembly documentation
• Ability to work under short timelines when needed

Requirements: 

• 3+ years experience working with complex systems
• Familiarity with computer based tools such as but not limited to CMD prompt, Google Suite, in house development GUI’s
• Familiarity with electrical hardware based diagnostic tools such as but not limited to Scope, Digital MultiMeter, Current Probes
• Familiarity with torque tools and mechanical assembly
• Ability to read PCB and Harness schematics 
• Full system architecture diagnostic experience and organized diagnostic processes 
• Ability to remove and replace mechanical components up to 50lbs
• Great attitude and excited to face challenges

Bonus Qualifications: 

• Catia or CAD based program experience
• Fabrication experience
• PCB Rework experience
• DAQ system implementation experience
• Small brushless motor experience
• Harmonic drive, clutches, torque/force sensor  knowledge
• Robotics experience
• Experience using Jira, Confluence, Slack
• IPC 610, 620 or J-Std-001

The US base salary range for this full-time position is between $35 - $65/hr. 

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. 

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is based in San Jose, CA and requires 5 days/week in-office collaboration.

We are looking for a Hardware Reliability Engineer in charge of driving design for reliability, designing and executing test plans for our humanoid robots to ensure they meet our lifetime specs. 

Responsibilities: 

• Collect and analyze current and prospective product use cases to define hardware reliability specs and validation methods.
• Lead DFMEA efforts with design engineers to analyze and assess potential design risks, detection and mitigation methods.
• Develop and execute accelerated life tests for materials, modules, and systems, e.g. structural parts, joints, softgoods, robot head/torso, charger, EMC, full robot and robot ecosystem product.
• Work with test engineers to develop custom test fixtures, electronics, and codes.
• Working with cross-functional teams, own reliability test planning and preparation in-house and at supplier sites.
• Drive and manage internal/external resources and suppliers in executing reliability tests in each engineering build.
• Support failure analysis from reliability tests, fleet operations, and field uses.
• Document failures and work with design and manufacturing engineers to resolve issues.
• Conduct physics-based and statistical analysis on test and field failures to assess risk and provide actionable recommendations.

Requirements: 

• Minimum 2 years of work experience in reliability engineering.
• Bachelor's degree or higher in mechanical, electrical, materials engineering or related field
• Strong knowledge of hardware failure modes and failure physics.
• Strong knowledge in developing accelerated life test specs and methods, such as high temperature high humidity, thermal cycle, vibration, shock, and load/use cycle tests.
• Familiarity with Weibull++, JMP, or related data analysis software.
• Experience in hardware assembly and instrumentation setup.

Bonus Qualifications: 

• Experience with CATIA for 3D mechanical design.
• Experience with Altium for viewing PCBA design.
• Experience with electric motors, gearboxes, or actuators.
• Experience with reliability modeling, e.g. Ansys Sherlock analysis, and Monte Carlo simulation.
• Experience with testing standards such as JESD22, ISO16750, GMW3172, MIL-STD-810.  
• Experience with coding languages such as Python, MATLAB, C.
• Knowledge of failure analysis tools and techniques such as optical microscopy, CT/Xray, SEM/EDS, PCBA cross-sectioning. 

The US base salary range for this full-time position is between $120,000 - $250,000 annually.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. 

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is based in San Jose, CA and require 5 days/week in-office collaboration.

We are seeking an Electrical Validation Engineer – Hand Subsystem to lead the bring-up, validation, and performance characterization of Figure’s dexterous robotic hands. You will own validation from first-article prototypes through full-robot and production builds.

Key Responsibilities:

• Lead electrical and mechatronic bring-up and system validation of the hand subsystem, including actuators, motor drives, PCBAs, sensors, harnessing, and power distribution.
• Plan and execute subsystem and system-level validation of electrical system, actuation performance, power consumption and thermals.
• Develop and automate validation workflows and test setups to stress full range of motion, load cases, duty cycles, and environmental conditions.
• Debug complex cross-disciplinary issues across hardware, firmware, controls, and mechanics using telemetry, oscilloscopes, DAQs, power analyzers, and thermal instrumentation.
• Lead root-cause analysis for reliability, performance, and durability issues; drive design, firmware, or process improvements in collaboration with partner teams.
• Build and maintain Python-based data logging, visualization, and analysis tools to track subsystem performance and detect anomalies.
• Define KPIs and validation metrics to track hand subsystem performance, reliability, and fleet health over time.
• Document bring-up procedures, validation results, and integration learnings to support scaling to production, manufacturing test, and sustaining engineering.

Requirements:

• Bachelor’s or Master’s degree in Electrical, Mechatronics, Controls, or Systems Engineering (or equivalent experience).
• 5+ years of experience in electrical or mechatronic systems validation.
• Strong understanding of power delivery, motor drives, actuator control, sensing, and grounding in electromechanical systems.
• Proficiency in Python for automation, data acquisition, and analysis.
• Skilled with lab instrumentation including oscilloscopes, power analyzers, DAQs, and thermal sensors.
• Proven ability to debug hardware, firmware, and control-loop issues in tightly integrated systems.
• Strong documentation and cross-functional collaboration skills.

Preferred Experience:

• Experience with dexterous robotic hands, grippers, or multi-DOF actuation systems.
• Familiarity with CAN, SPI, I2C, EtherCAT, or Ethernet-based communication protocols.
• Experience with control-system tuning, system identification, and performance optimization.
• Experience developing automated validation rigs or hardware-in-the-loop setups.
• Comfort working in Linux and embedded development environments.
• Familiarity with manufacturing bring-up, factory test development, or sustaining engineering.

The US base salary range for this full-time position is between $150,000 and $250,000 annually.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. 

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is based in San Jose, CA and require 5 days/week in-office collaboration.

We are seeking a Systems Integration Engineer – Head Subsystem to lead the bring-up, integration, and validation of the robot’s head electronics. You will own electrical integration from early prototypes through full-robot and production builds, ensuring robust power delivery, signal integrity, thermal performance, and system reliability.

Key Responsibilities:

• Lead electrical bring-up and system integration of the head subsystem across embedded compute, power regulation, sensing, display, audio, and communication interfaces.
• Plan and execute subsystem and system-level validation of power delivery, high-speed interfaces (USB, DisplayPort, MIPI, PCIe, Ethernet, SGMII), RF, and thermal performance.
• Develop and execute electrical validation plans covering power integrity, signal integrity, EMI susceptibility, and thermal behavior.
• Debug complex cross-disciplinary issues across hardware, firmware, and software using telemetry, oscilloscopes, DAQs, logic analyzers, and other lab instrumentation.
• Drive integration of power architectures, grounding strategies, and interface definitions to ensure reliable operation in a compact, high-density electromechanical assembly.
• Analyze system data and define KPIs to track electrical performance, reliability, and fleet health over time.
• Document bring-up procedures, validation workflows, test results, and integration learnings to support scaling to production and manufacturing test.

Requirements:

• Bachelor’s in Electrical or Systems Engineering (or equivalent experience).
• 4–8+ years of experience in electrical systems integration, validation, or test for embedded or robotic systems.
• Strong understanding of power systems, power regulation, grounding, and signal integrity in embedded compute platforms.
• Experience with high-speed digital and communication interfaces (USB, PCIe, Ethernet, MIPI, DisplayPort).
• Hands-on experience with electrical and thermal validation using oscilloscopes, DAQs, power analyzers, and thermal instrumentation.
• Proficiency in Python for automation, scripting, and data analysis; familiarity with C++ a plus.
• Strong debugging, documentation, and cross-functional collaboration skills.

Preferred Experience:

• Experience integrating embedded compute, displays, RF, or audio systems in robotics, automotive, aerospace, or consumer electronics.
• Background in EMI/EMC testing, mitigation, or compliance support.
• Experience with thermal management and cooling strategies in dense electronic assemblies.
• Familiarity with manufacturing bring-up, factory test development, or sustaining engineering.
• Willingness to travel occasionally for on-site integration or manufacturing support.

The US base salary range for this full-time position is between $150,000 and $250,000 annually.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. 

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA.

We are looking for Manufacturing Engineer to design our build process for scaling our robot fleet.

Responsibilities: 

• Set up the internal build line to manufacture module level and full robot system assemblies
• Analyze and optimize manufacturing processes to improve efficiency, quality, and cost-effectiveness
• Monitor production metrics and KPIs, identifying areas for improvement and implementing corrective actions
• Collaborate with cross-functional teams to ensure manufacturability and design for assembly principles are incorporated
• Qualify vendors for piece part and assembly level manufacturing
• Set up end of line design validation testing and in process QC checks
• Develop fixturing to support the assembly

Requirements: 

• Experience in manufacturing engineering
• Expert knowledge of manual and automated assembly techniques
• Experience with Manufacturing Execution Systems (MES), including implementation, integration, and optimization
• Expert in 3D CAD software
• Specify and procure manufacturing equipment, tools, and fixtures required for production
• Ability to travel up to 40% of the time

Bonus Qualifications:

• Bachelor’s or Master’s Degree in Mechanical, Biomechanical, Robotics, Mechatronics, or similar field
• CATIA V6 experience
• Robotics or other high tech industry experience

The US base salary range for this full-time position is between $115,000 - $250,000 annually.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. 

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is based in San Jose, CA and require 5 days/week in-office collaboration. It’s time to build.

We’re looking for a Software Integration Engineer to join our Systems Integration Team — the bridge between AI, Controls, Firmware, and Hardware. The team ensures that all components work cohesively toward a unified, high-performing robotic system.

This is a fast-paced, high-impact role focused on execution and iteration. You’ll own core software features end-to-end on our robotic stack, driving them from concept all the way through to delivery. You’ll blend software development, system-level problem solving, and cross-functional collaboration to ensure the robot platform is stable, reliable, and ready for rapid AI development and evaluation. 

The ideal candidate is a multi-talented, hands-on engineer who thrives in ambiguity, learns quickly, and takes ownership of problems end-to-end. You’ll operate with a first-principles mindset, constantly finding ways to move the system forward and improve reliability, scalability, and performance across the fleet.

Key Responsibilities:

• Become the go to expert for our robot through hands-on testing and issue triage.
• Collaborating with Platform Software, AI, Controls, and Manufacturing teams to resolve software and system bugs and drive architectural improvements that reduce pain points.
• Lead and own test plan definition for new software and firmware features.
• Collaborate with developers and manufacturing to improve firmware, diagnostics, and self-tests, using EoL data to speed up robot bring-up.
• Validate software before its released to our internal manufacturing and service teams; assist teams with bring-up and troubleshooting.
• Partner with the Test Infrastructure team to add high-signal automated tests and diagnostics that catch regressions early, improve system reliability.

Requirements:

• Strong ability to debug complex hardware/software systems and identify targeted tests that accelerate regression isolation and root-cause analysis.
• Programming experience in C++ and Python.
• Experience integrating and validating complex software systems in robotics, mechatronic, or electric vehicle environments.
• Bachelor’s or Master’s degree in Computer Science, Mechatronics, Robotics, or related field
• Self-sufficient with strong ownership mindset; able to manage multiple high-impact priorities

The US base salary range for this full-time position is between $150,000 and $250,000 annually.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.