Autonomous Building Controls Deployment Engineer Job at PassiveLogic

Autonomous Buildings Project Manager

This is a career-defining opportunity to play a crucial role in a hyper-scale AI...

Location

Netherlands

Salary:

Not provided

PassiveLogic

Expiration Date

Until further notice

Requirements

5+ years in construction project management (specifically in the buildings industry, commercial real estate or HVAC), automation, robotics, mechatronics, or related fields
Advanced understanding and knowledge of building controls systems
Sales technical support experience—familiarity with assisting partners and clients in project planning, engineering, and execution
Exceptional communication skills: Extraordinary teammate skills with a collaborative, interpersonal communication style
Organized and strategic: Strong technical and project coordination skills with an ability to oversee all phases of project implementation while troubleshooting technical challenges
Collaborative mindset: Ability to work across teams, coordinate with contractors, and maintain strong relationships with channel partners. Strong self-motivation towards PassiveLogic’s mission to “empower people through generative autonomy to solve the world’s largest climate challenges.”
Adaptability: Comfortable in a fast-paced startup environment, eager to learn, iterate, and innovate
Problem solving: You own this role. When issues arise, be the empowered force that solves them, rolling-up

Job Responsibility

Oversee building controls integration and coordination: Work alongside peer construction managers, managing on-site project execution and ensuring alignment with design specifications
Manage sales application support and engineering: Work closely with end-users, VARs, MSIs, and installation contractors to support project take-off and engineering processes
Act as a key feedback loop: Collaborate with external partners and our internal team to relay crucial insights to PassiveLogic’s leadership that improve product performance and deployment strategies
Ensure seamless project execution: Manage job timelines, coordinate site activities, and proactively address challenges to maintain project efficiency

What we offer

Competitive compensation
Generous equity share package
Pension plan
Paid time off
Commute coverage (NS Business Card or Car allowance)
In office lunch
Fun office-wide activities quarterly
Worldwide ski/snowboard pass

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

Staff Software Engineer - Backend

As the Staff Software Engineer for our SaaS platform team, you will be crucial i...

Location

United States , Mountain View

Salary:

198000.00 - 225000.00 USD / Year

Cyngn

Expiration Date

Until further notice

Requirements

10+ years of software development experience, with a strong focus on backend systems and distributed architectures
Extensive experience in building and scaling cloud-native SaaS platforms, preferably in the IoT or robotics domains
Expert-level proficiency in at least one of Python, Go, Java, or C++, with working knowledge of others
Deep understanding of cloud technologies and services (AWS, Azure, or GCP)
Proven experience with event-driven architectures and message queuing systems (e.g., Kafka, RabbitMQ, Apache Pulsar)
Strong background in database design and optimization, including both SQL and NoSQL solutions
Proficiency in developing scalable WebSocket-based real-time communication systems
Expertise in developing real-time data processing pipelines and analytics systems
Proficiency with containerization and orchestration technologies (Docker, Kubernetes)
Experience with infrastructure-as-code and CI/CD practices (e.g., Terraform, GitOps)

Job Responsibility

Architect and lead the development of a sophisticated, cloud-native fleet management system capable of real-time control and monitoring of numerous autonomous vehicles
Design and implement scalable, distributed systems that can handle high-volume, real-time data processing and decision-making
Develop robust APIs and microservices to support integration with various autonomous vehicle platforms and customer systems
Create efficient algorithms for route optimization, task scheduling, and resource allocation across vehicle fleets
Implement advanced data analytics and machine learning capabilities to provide predictive maintenance, performance optimization, and business intelligence features
Ensure system reliability, security, and compliance with industry standards and regulations
Lead a team of skilled engineers, fostering a culture of innovation, code quality, and continuous improvement
Collaborate with product managers, UX designers, and customers to translate business requirements into technical solutions
Mentor junior developers and contribute to the technical growth of the engineering team
Participate in the entire software development lifecycle, from concept and design to testing, deployment, and maintenance

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
Remote or hybrid work opportunities
Sabbatical leave opportunity after five years with the company
Paid Parental Leave
Daily lunches for in-office employees
Monthly meal and tech allowances for remote employees

Fulltime

New

Senior AI Engineer – Agentic Systems

My client is looking for an experienced AI Engineer to help build agentic system...

Location

United Arab Emirates , Dubai

Salary:

Not provided

Salt

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science or equivalent practical experience
5+ years of hands-on experience in applied machine learning, NLP, or AI systems development
Strong experience working with large language models (GPT-4, Claude, or similar), including prompt engineering, fine-tuning, or API-based deployment
Proven experience building RAG pipelines using embeddings and vector databases
Knowledge of agentic and multi-agent systems, task orchestration, and related architectures
Proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, etc.)
Experience with agent orchestration tools such as LangChain, LangGraph, Temporal, n8n, or custom-built stacks
Solid understanding of enterprise software fundamentals: APIs, CI/CD, version control, monitoring, and performance optimisation
Strong communication skills and the ability to thrive in a fast-paced, evolving startup environment

Job Responsibility

Design, build, and deploy autonomous AI agents using modern orchestration layers (n8n, Temporal, and agentic frameworks)
Create intelligent, context-aware workflows that integrate deeply with enterprise systems such as CRMs, databases, and internal tools
Develop multi-agent architectures including planner-executor patterns, memory layers, persona-based behaviours, and tool-using agents
Push the limits of Retrieval-Augmented Generation (RAG), embeddings, and vector search to ground agent decisions in real-time enterprise data
Integrate and optimise LLMs (OpenAI, Anthropic, Claude, etc.) alongside enterprise APIs and services
Own the AI pipeline end-to-end: context construction, prompting, evaluation, deployment, monitoring, and iteration
Set standards for reliability, latency, safety, and trust as AI becomes embedded in mission-critical workflows
Collaborate closely with product and design to identify high-impact use cases where AI delivers 10x value

What we offer

Top-tier compensation and meaningful equity with strong upside
Latest MacBook Pro and high-end workstation setup
Paid AI tools and cloud credits to experiment and build freely
Premium health, wellness, and learning budgets
Flexible PTO and working hours
A culture that values ownership, curiosity, and shipping real products – and celebrates every win

Fulltime

AI ML Engineer

We seeking a talented ML/AI Engineer to join our innovative team and drive the d...

Location

India , hyderabad

Salary:

Not provided

Genzeon

Expiration Date

Until further notice

Requirements

Strong experience in building ML models with proven track record of successful deployments
Extensive experience in Generative AI including LLMs, diffusion models, and related technologies
Experience in Agentic AI and understanding of autonomous agent architectures
Proficiency with Model Control Protocol (MCP) for agent communication and control
Advanced Python programming with expertise in ML libraries (scikit-learn, TensorFlow, PyTorch, etc.)
Google Cloud Platform (GCP) experience with ML-focused services
Vertex AI hands-on experience for model lifecycle management
AutoML experience for automated machine learning workflows
Model Armour or similar model security and protection frameworks
3+ years of experience in machine learning engineering or related field

Job Responsibility

Design, develop, and deploy robust machine learning models for various business applications
Build and optimize generative AI solutions using latest frameworks and techniques
Implement agentic AI systems that can autonomously perform complex tasks
Develop and maintain ML pipelines from data ingestion to model deployment
Leverage Google Cloud Platform (GCP) services for scalable ML infrastructure
Utilize Vertex AI for model training, deployment, and management
Implement AutoML solutions for rapid prototyping and model development
Ensure model security and compliance using Model Armour and related tools
Write clean, efficient Python code for ML applications and data processing
Optimize model performance, accuracy, and computational efficiency

AI ML Engineer

We seeking a talented ML/AI Engineer to join our innovative team and drive the d...

Location

India , hyderabad

Salary:

Not provided

Genzeon

Expiration Date

Until further notice

Requirements

Strong experience in building ML models with proven track record of successful deployments
Extensive experience in Generative AI including LLMs, diffusion models, and related technologies
Experience in Agentic AI and understanding of autonomous agent architectures
Proficiency with Model Control Protocol (MCP) for agent communication and control
Advanced Python programming with expertise in ML libraries (scikit-learn, TensorFlow, PyTorch, etc.)
Google Cloud Platform (GCP) experience with ML-focused services
Vertex AI hands-on experience for model lifecycle management
AutoML experience for automated machine learning workflows
Model Armour or similar model security and protection frameworks
3+ years of experience in machine learning engineering or related field

Job Responsibility

Design, develop, and deploy robust machine learning models for various business applications
Build and optimize generative AI solutions using latest frameworks and techniques
Implement agentic AI systems that can autonomously perform complex tasks
Develop and maintain ML pipelines from data ingestion to model deployment
Leverage Google Cloud Platform (GCP) services for scalable ML infrastructure
Utilize Vertex AI for model training, deployment, and management
Implement AutoML solutions for rapid prototyping and model development
Ensure model security and compliance using Model Armour and related tools
Write clean, efficient Python code for ML applications and data processing
Optimize model performance, accuracy, and computational efficiency

Senior ML EM, App SW

We're looking for an exceptional technical leader to spearhead our new Japan-bas...

Location

Japan

Salary:

Not provided

Wayve

Expiration Date

Until further notice

Requirements

A strong background in robotics and autonomy, with experience building and deploying systems that operate in real-world environments
Demonstrated ability to lead and grow high-performing engineering teams, ideally in geographically distributed or independent settings
Comfortable with ambiguity: you can define goals, carve out roadmaps, and deliver high-impact work with minimal supervision
Broad technical fluency: capable of reviewing and guiding work across software engineering, ML, controls, and systems integration
Excellent communication skills: you’re able to clearly convey technical context and strategic vision across cultures and time zones
Strong product sense and stakeholder management skills: you’re comfortable interfacing directly with OEM customers and representing engineering in external-facing conversations

Job Responsibility

Build and lead a self-sufficient AV development team in Japan, hiring and mentoring top talent across robotics and ML
Deliver autonomy capabilities tailored to Japanese road conditions and driving norms, in close collaboration with central Autonomy teams
Act as the primary technical and operational bridge between the Japan office and HQ, aligning roadmaps and communicating local insights
Drive full-cycle development: from identifying local autonomy needs, to designing, implementing, testing, and deploying features into production
Ensure the team upholds Wayve’s high engineering standards, while operating with agility and independence
Work closely with OEM partners in Japan — representing Wayve’s autonomy team in technical discussions, capturing product requirements, and shaping joint development plans
Establish close working relationships with our product and vehicle operations teams in Japan

Fulltime

Autonomous Building Controls Deployment Engineer

PassiveLogic

Location:
Netherlands

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 11, 2025

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Job Posted:December 11, 2025

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