Autonomous Building Controls Deployment Engineer Job at PassiveLogic

Senior Systems Engineer - Autonomous Drone Perception

Come work on the Amazon Prime Air Team! We’re looking for a Sr Systems Engineer ...

Location

United States , Seattle

Salary:

151200.00 - 204600.00 USD / Year

Amazon

Expiration Date

Until further notice

Requirements

Experience developing requirements and system architectures for perception systems in robotics, autonomous vehicles, or aerospace applications
Strong background in computer vision, sensor fusion, or machine learning applications
Proven ability to decompose high-level requirements into detailed system specifications
Experience with regulatory certification processes (FAA or similar) is highly valuable
Exceptional analytical thinking and technical documentation skills
Collaborative mindset with the ability to work across disciplines
6+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
Experience leading the design, build and deployment of complex and performant (reliable and scalable) software solutions in production
6+ years of systems design, software development, operations, automation, and process improvement experience

Job Responsibility

Translate complex operational requirements into detailed system and subsystem specifications for our vision-based perception systems
Bridge the gap between perception algorithms (computer vision, radar processing, ML) and their integration with the broader flight control and autonomy stack
Develop comprehensive requirements documentation that meets aviation certification standards while enabling rapid innovation
Collaborate with cross-functional teams (ML engineers, computer vision specialists, hardware engineers) to design and validate perception system architectures
Lead technical reviews to ensure perception systems meet performance, safety, and reliability requirements
Drive continuous improvement in how we develop and certify perception systems for autonomous flight

What we offer

sign-on payments
restricted stock units (RSUs)
health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
401(k) matching
paid time off
parental leave

Internship UAV Controls Engineer

You will work in our team of experienced 3D vision engineers, 3D computer graphi...

Location

Netherlands , Delft

Salary:

1000.00 EUR / Month

Fiducial

Expiration Date

Until further notice

Requirements

Foundational understanding of flight dynamics, control theory, and real-time systems
Hands-on experience (academic, hobby, or project-based) designing control loops for UAVs or similar dynamic systems
Familiarity with flight control stacks such as PX4, Ardupilot, or other open-source autopilots
Strong programming skills in C++ or Python
Awareness of state estimation and filtering concepts (e.g., sensor fusion, complementary filters, or EKF basics)
Comfort working with UAV simulators or an eagerness to learn SITL/HIL testing workflows
Curiosity and motivation to learn quickly, explore new areas, and seek guidance when needed
A hands-on attitude, persistence, and enthusiasm for building and improving real flying systems
Full-time availability (40 hours)

Job Responsibility

Contributing to the development and tuning of guidance, navigation, and control (GNC) algorithms for autonomous flight, including takeoff, landing, and waypoint following
Assisting in integrating control and navigation modules with perception and state estimation systems
Using simulation environments (SITL/HIL) to test and validate flight control behavior before hardware deployment
Reviewing and interpreting flight logs and telemetry to help assess control performance and identify issues
Working closely with hardware and flight test teams to configure and calibrate UAV platforms
Supporting flight test campaigns through setup, monitoring, and post-flight data analysis
Helping improve internal tools for simulation, control diagnostics, and flight visualization
Learning from and collaborating with senior engineers to iterate between simulation and real-world testing and continuously improve flight performance

What we offer

10 vacation days during internship period
(Really) flexible working hours and option to work from home 2 days per week
Have a direct and significant influence on highly innovative products
The opportunity to iterate quickly with tight feedback loops, close to the product
Responsibility over the things you implement, you are the expert on what you build

Fulltime

Forward Deployed Software Engineer - Autonomous Systems C2

We are seeking a Forward Deployed Software Engineer to join a newly-formed team ...

Location

United States , Palo Alto

Salary:

135000.00 - 200000.00 USD / Year

Palantir Technologies

Expiration Date

Until further notice

Requirements

2+ years of professional software development experience
2+ years of experience integrating and deploying software to edge or autonomous systems (e.g. drones, self-driving, on-prem/edge servers)
Strong proficiency in JS/TS, Python, Rust, or Java
Experience with front-end frameworks like REACT
Strong integration skills and experience with software deployment, CI and automation tools, navigating APIs and documentation, networking, security and authentication, Linux/GNU
Bachelor's/Master's (or significant relevant work experience) in Computer Science, Robotics, Electrical Engineering, or related fields
Active US Security clearance or eligibility and willingness to obtain a US Security clearance
Ability to travel 25-75%, varies by location and team

Job Responsibility

Build, test, integrate, and deploy mission-critical full-stack software solutions for C2 of multi-modal autonomous systems
Integrate full-stack Autonomy C2 solutions into Palantir platform and with AI and autonomy software solutions such sensor and data fusion services, agentic decision making engines, and robotic control systems
"Make things work" on the in the cloud, on-prem, and in hybrid-cloud environments, including tackling challenges in deployment, integration, security, and user experience
Partner with multidisciplinary teams, including experts in sensing and fusion, artificial intelligence, systems engineering, user experience, and hardware and robotics experts to deliver well integrated solutions

What we offer

Employees (and their eligible dependents) can enroll in medical, dental, and vision insurance as well as voluntary life insurance
Employees are automatically covered by Palantir’s basic life, AD&D and disability insurance
Commuter benefits
Relocation assistance
Take what you need paid time off, not accrual based
2 weeks paid time off built into the end of each year (subject to team and business needs)
10 paid holidays throughout the calendar year
Supportive leave of absence program including time off for military service and medical events
Paid leave for new parents and subsidized back-up care for all parents
Fertility and family building benefits including but not limited to adoption, surrogacy, and preservation

Fulltime

Forward Deployed Software Engineer - Autonomous Systems C2

We are seeking a Forward Deployed Software Engineer to join a newly-formed team ...

Location

United States , Seattle

Salary:

135000.00 - 200000.00 USD / Year

Palantir Technologies

Expiration Date

Until further notice

Requirements

2+ years of professional software development experience
2+ years of experience integrating and deploying software to edge or autonomous systems (e.g. drones, self-driving, on-prem/edge servers)
Strong proficiency in JS/TS, Python, Rust, or Java
Experience with front-end frameworks like REACT
Strong integration skills and experience with software deployment, CI and automation tools, navigating APIs and documentation, networking, security and authentication, Linux/GNU
Bachelor's/Master's (or significant relevant work experience) in Computer Science, Robotics, Electrical Engineering, or related fields
Active US Security clearance or eligibility and willingness to obtain a US Security clearance
Ability to travel 25-75%, varies by location and team

Job Responsibility

Build, test, integrate, and deploy mission-critical full-stack software solutions for C2 of multi-modal autonomous systems
Integrate full-stack Autonomy C2 solutions into Palantir platform and with AI and autonomy software solutions such sensor and data fusion services, agentic decision making engines, and robotic control systems
"Make things work" on the in the cloud, on-prem, and in hybrid-cloud environments, including tackling challenges in deployment, integration, security, and user experience
Partner with multidisciplinary teams, including experts in sensing and fusion, artificial intelligence, systems engineering, user experience, and hardware and robotics experts to deliver well integrated solutions

What we offer

Employees (and their eligible dependents) can enroll in medical, dental, and vision insurance as well as voluntary life insurance
Employees are automatically covered by Palantir’s basic life, AD&D and disability insurance
Commuter benefits
Relocation assistance
Take what you need paid time off, not accrual based
2 weeks paid time off built into the end of each year (subject to team and business needs)
10 paid holidays throughout the calendar year
Supportive leave of absence program including time off for military service and medical events
Paid leave for new parents and subsidized back-up care for all parents
Fertility and family building benefits including but not limited to adoption, surrogacy, and preservation

Fulltime

Forward Deployed Autonomous Systems Engineer

Mach Industries is seeking a Forward Deployed Autonomous Systems Engineer to ope...

Location

United States , Huntington Beach

Salary:

90000.00 - 150000.00 USD / Year

Mach Industries

Expiration Date

Until further notice

Requirements

Hands-on experience working with open-source flight control systems such as PX4, Ardupilot, or similar architectures, including configuration and tuning
Experience operating and evaluating prototype or non-certified autonomous systems in test or field environments
Ability to diagnose and resolve system-level issues spanning hardware, software, networking, and autonomy
Familiarity with Linux-based systems, command-line tools, and log/telemetry analysis
Strong ability to learn unfamiliar systems quickly through documentation, experimentation, and collaboration
Willingness to support irregular schedules driven by test readiness, flight windows, and field constraints
Willingness to travel more than 50% of the time
Clear communication skills and disciplined attention to safety in experimental environments

Job Responsibility

Execute flight and ground testing of developmental and production autonomous aerial systems in controlled and field environments
Collaborate closely with engineering teams to plan and execute test activities, identify failures, and drive system improvements
Diagnose and resolve system-level issues spanning hardware, software, communications, and autonomy during testing
Configure, modify, and validate flight control software, autonomy behaviors, and system parameters in support of test objectives
Assess system readiness through pre-flight, post-flight, and health checks, and determine go/no-go conditions for testing
Collect, analyze, and communicate telemetry, logs, and performance data to inform rapid design iteration
Integrate and evaluate new payloads, sensors, and system configurations
Support frequent field testing and demonstration events, operating in austere environments with significant travel
Develop and refine test procedures, safety practices, and operational documentation for experimental systems
Close the loop between field testing and manufacturing by identifying build, assembly, and reliability issues and communicating actionable feedback to manufacturing engineers and technicians

What we offer

Offers Equity
healthcare
dental and vision plans
retirement savings
paid time off
funds for continuing education, training, and career growth

Fulltime

PhD Autonomy Engineer Intern - Planning & Controls (Reinforcement Learning)

Skydio builds the world’s most advanced autonomous drones used across inspection...

Location

Switzerland , Zurich

Salary:

50.00 EUR / Hour

Skydio

Expiration Date

Until further notice

Requirements

PhD student in Robotics, Machine Learning, Controls, or related field
Strong fundamentals in RL, control theory, and motion planning
comfort with safety/robustness concepts
Proficient in Python (PyTorch/JAX/Ray RLlib) and at least one of C++ or CUDA
Hands-on experience with robotics simulation (Isaac Lab/MuJoCo/PyBullet) and sim2real techniques
Experience training/deploying policies for navigation, manipulation, or locomotion on real robots or autonomous vehicles

Job Responsibility

Develop and deploy reinforcement learning (and adjacent policy-learning methods) that make Skydio aircraft plan, navigate, and control themselves more intelligently—safely, reliably, and efficiently—across our ecosystem: handheld apps, ground control, cloud autonomy services, and fleet workflows
Navigation & avoidance in the wild: Train policies that adapt online to cluttered 3D scenes (forests, bridges, urban canyons), complementing our geometric stack for robust obstacle avoidance and dynamic goal-seeking
RL-augmented planning: Fuse learned cost shaping / value functions with trajectory optimization for smooth, agile flight with tight safety envelopes and mission constraints
Sim → Real at scale: Build scalable datasets and training loops with Isaac Lab, domain randomization, residual learning, and safety filters
validate on real drones weekly
Human-in-the-loop shared control: Learn assistive policies that blend pilot intent, autonomy priors, and uncertainty-aware behaviors for intuitive control handoffs
Fleet & multi-agent: Explore decentralized coordination for coverage, pursuit, and collaborative mapping with minimal comms

Senior Software Engineer, Autonomy - Behavior, Planning & Controls

As a Senior Software Engineer, you will play a pivotal role in developing next-g...

Location

United States , Mountain View

Salary:

180000.00 - 198000.00 USD / Year

Cyngn

Expiration Date

Until further notice

Requirements

MS/PhD in Computer Science, Robotics, or a related technical field, or equivalent practical experience
Strong proficiency in C++ and Python with a deep understanding of software development best practices
Solid foundation in robotics principles, particularly motion planning and control systems
Strong background in vehicle dynamics and experience applying these principles to autonomous systems
Knowledge of nonlinear optimization and search-based planning techniques
Familiarity with ROS2 for designing, building, and operating robotic systems
Strong mathematical foundation, including geometry, linear algebra, and probability
Excellent problem-solving abilities with a proactive approach in a fast-paced, collaborative environment
Strong communication and cross-team collaboration skills

Job Responsibility

Design, implement, and optimize motion planning and control algorithms for autonomous vehicles
Develop and enhance software infrastructure for vehicle simulation, performance validation, and system diagnostics
Architect and refine path-planning and tracking control algorithms to improve autonomy performance
Collaborate with cross-functional teams to deploy and validate solutions in both simulated and real-world environments
Balance hands-on development, code reviews, and research to achieve product-driven milestones in a fast-paced startup environment
Integrate cutting-edge robotics research into our autonomous driving stack to enhance system capabilities

What we offer

Health benefits (Medical, Dental, Vision, HSA and FSA (Health & Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge)
Life, Short-term and long-term disability insurance (Cyngn funds 100% of premiums)
Company 401(k)
Commuter Benefits
Flexible vacation policy
Sabbatical leave opportunity after 5 years with the company
Paid Parental Leave
Daily lunches for in-office employees and fully-stocked kitchen with snacks and beverages

Fulltime

New

Senior Backend Engineer - MPG

At The Multiplayer Group (MPG), we create world-class multiplayer experiences th...

Location

United Kingdom

Salary:

Not provided

Climax Studios

Expiration Date

Until further notice

Requirements

Experience in game development and having worked on at least two game titles in a commercial setting developing server backends for AAA games, free-to-play (mobile) games, casino apps or similar
Experience releasing at least two backend services with a large number of concurrent users
Production experience with at least one of Java, Golang, C#, C++, Kotlin
experience with Python, Node.js and React is desirable
Experience with cloud platforms: Amazon Web Services, Google Cloud and Microsoft Azure
having an AWS Certification (Associate or above) would be advantageous
Experience with infrastructure as code tools, e.g. Terraform
Ability to create supporting documentation, designs, comments, etc
Ability to discuss technical and production matters
Excellent time management and ability to work autonomously

Job Responsibility

Individual contribution: construct systems, write code, deployments, etc.
Work with the team lead and stakeholders to estimate and prioritise work
Work alongside peers to iterate on solutions that fit requirements
Keep the project lead and producer apprised of revised estimates and delivery times
Promote and maintain high standards and process: tests, CI/CD, documentation
Help and support team members in day-to-day work
Understand, maintain and expand existing code and develop new features or systems

What we offer

Flexible working: Remote-friendly long before it was the norm, with core hours that support both great work and real life
Support & wellbeing: Mental health first-aiders, therapy and coaching via Myndup, plus private medical insurance to help you stay healthy and supported
Pension & life cover: A strong pension plan and life insurance to support your future and protect your family
Time for you: Minimum 25 days’ holiday, a paid winter break, and 3 volunteering days each year to give back to causes you care about
Parental leave: Family-first policies that support parents and caregivers with flexibility and balance
Levelling up: Annual L&D budget, expert talks, game jams, and mentoring opportunities to help you grow your skills and career

Fulltime

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Autonomous Building Controls Deployment Engineer

Job Description

Job Responsibility

Requirements

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