Planning Engineer - AI Applications Job at Autonomous Solutions (Lehi)

Planning Engineer - AI Applications

As a Planning Engineer IV, you will focus on creating AI driven planning and dec...

Location

United States , Mendon

Salary:

Not provided

Autonomous Solutions

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Computer Engineering, Robotics, or a related technical field
10+ years of experience working as a software engineer utilizing Python, C++, and ROS
Experience developing AI or machine learning models for autonomous decision making or planning systems
Strong understanding of machine learning techniques, data modeling, and model deployment workflows
Hands on experience with motion planning, image processing, pathfinding, decision modeling, or related robotics planning domains
Experience integrating AI models into real time or near real time systems and tuning for performance
Strong analytical and problem-solving abilities with the ability to translate system behavior into technical solutions

Job Responsibility

Develop AI based planning and decision models that drive autonomous robot behavior, path selection, and task execution
Integrate planning algorithms with motion planning, control systems, simulation environments, and other robotics modules
Embed planning models into production systems and platform services while ensuring compatibility with perception, control, and safety modules
Convert trained planning models into production ready components such as services, APIs, or embedded libraries
Tune algorithms for real time performance, low latency, and reliability to meet safety critical and operational requirements
Collaborate with robotics engineers, controls specialists, data scientists, and software developers to align model behavior with system requirements
Test and validate planning systems using simulation, hardware in the loop, and field deployments to ensure predictable and robust autonomous performance
Monitor deployed planning systems and refine models, parameters, and integration points to continuously improve efficiency, safety, and effectiveness

What we offer

Full Benefits - 90% Medical, ESOP, 401K, Generous PTO

Fulltime

GNC Engineer IV - AI Applications

As a GNC Engineer IV, you will specialize in applying AI and machine learning te...

Location

United States , Mendon

Salary:

Not provided

Autonomous Solutions

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Robotics, Aerospace Engineering, Mechanical Engineering, or a related technical field
10+ years of experience as a GNC Engineer designing controls and localization algorithms, writing proposals, taking detailed documentation, and utilizing programming languages such as Python, C++, C, or ROS
Experience developing and deploying AI or machine learning models for robotics, controls, or dynamic systems
Strong understanding of machine learning techniques, data modeling, and model deployment workflows
Solid foundation in control theory, vehicle dynamics, navigation algorithms, or related GNC domains
Hands on experience with machine learning frameworks such as TensorFlow or PyTorch
Experience integrating models into real-time or near real-time systems and tuning for latency and performance
Strong analytical and problem-solving abilities with the ability to translate system behavior into technical solutions
Ability to collaborate effectively with interdisciplinary engineering teams and communicate technical concepts clearly

Job Responsibility

Develop AI driven guidance, navigation, and control algorithms that enhance autonomy, stability, and decision making for robotic vehicles
Integrate machine learning models with vehicle dynamics, sensor systems, and simulation environments to ensure realistic and reliable behavior
Embed AI based GNC capabilities into software products and platform level services while ensuring compatibility with perception, planning, and control modules
Convert trained models into production ready components such as services, APIs, or embedded libraries tailored for GNC use cases
Tune algorithms and models for real time performance, low latency, and reliability in safety critical robotics environments
Collaborate closely with robotics engineers, controls specialists, data scientists, and software developers to align model behavior with system requirements
Test and validate AI based GNC systems using simulation, hardware in the loop setups, and field testing to ensure accuracy, robustness, and predictable performance
Monitor deployed systems and refine algorithms, models, and tuning parameters to continuously improve control quality and autonomous performance

What we offer

Full Benefits - 90% Medical, ESOP, 401K, Generous PTO

Fulltime

GNC Engineer IV - AI Applications

At ASI, we are revolutionizing industries with state-of-the-art autonomous robot...

Location

United States , Lehi

Salary:

Not provided

Autonomous Solutions

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Robotics, Aerospace Engineering, Mechanical Engineering, or a related technical field
10+ years of experience as a GNC Engineer designing controls and localization algorithms, writing proposals, taking detailed documentation, and utilizing programming languages such as Python, C++, C, or ROS
Experience developing and deploying AI or machine learning models for robotics, controls, or dynamic systems
Strong understanding of machine learning techniques, data modeling, and model deployment workflows
Solid foundation in control theory, vehicle dynamics, navigation algorithms, or related GNC domains
Hands on experience with machine learning frameworks such as TensorFlow or PyTorch
Experience integrating models into real-time or near real-time systems and tuning for latency and performance
Strong analytical and problem-solving abilities with the ability to translate system behavior into technical solutions
Ability to collaborate effectively with interdisciplinary engineering teams and communicate technical concepts clearly

Job Responsibility

Develop AI driven guidance, navigation, and control algorithms that enhance autonomy, stability, and decision making for robotic vehicles
Integrate machine learning models with vehicle dynamics, sensor systems, and simulation environments to ensure realistic and reliable behavior
Embed AI based GNC capabilities into software products and platform level services while ensuring compatibility with perception, planning, and control modules
Convert trained models into production ready components such as services, APIs, or embedded libraries tailored for GNC use cases
Tune algorithms and models for real time performance, low latency, and reliability in safety critical robotics environments
Collaborate closely with robotics engineers, controls specialists, data scientists, and software developers to align model behavior with system requirements
Test and validate AI based GNC systems using simulation, hardware in the loop setups, and field testing to ensure accuracy, robustness, and predictable performance
Monitor deployed systems and refine algorithms, models, and tuning parameters to continuously improve control quality and autonomous performance

What we offer

Full Benefits - 90% Medical, ESOP, 401K, Generous PTO

Fulltime

Perception Engineer IV - AI Applications

At ASI, we are revolutionizing industries with state-of-the-art autonomous robot...

Location

United States , Mendon

Salary:

Not provided

Autonomous Solutions

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Robotics, Electrical Engineering, or a related technical field
10+ years of experience as a Perception Engineer, or similar working experience
Experience developing computer vision or perception models for detection, classification, segmentation, or tracking
Proficiency in programming languages such as Python, C, ROS, and C++ with an emphasis on C++ 11 or newer
Strong understanding of developing multithreaded embedded software applications in Linux
Hands on experience with frameworks such as TensorFlow or PyTorch and perception specific libraries or toolsets
Familiarity with camera technologies, LiDAR, radar, and sensor fusion techniques
Strong analytical and problem-solving abilities with the ability to design solutions for complex field conditions
Thorough understanding of mathematics, including linear algebra, especially solving least-squares equations and performing coordinate system transformations

Job Responsibility

Build and maintain perception models for object detection, semantic classification, instance segmentation, and tracking across diverse environments
Optimize perception pipelines for accuracy, speed, robustness, and reliability under real world field conditions including varying lighting, terrain, and sensor noise
Embed perception models into production systems and platform level services and ensure compatibility with planning, control, and safety modules
Convert perception models into scalable services, APIs, or embedded libraries tailored for real time robotic workloads
Tune models and pipelines to meet real-time performance requirements including low latency inference and efficient resource usage
Collaborate closely with robotics engineers, sensor experts, and software developers to align perception outputs with downstream system needs
Integrate models with sensor suites including cameras, LiDAR, radar, depth sensors, and multimodal fusion pipelines
Test, validate, and evaluate perception systems using simulation, recorded datasets, and field deployment to ensure reliability and predictable behavior
Monitor deployed perception systems and implement improvements or retraining strategies to enhance performance over time

What we offer

Full Benefits - 90% Medical, ESOP, 401K, Generous PTO

Fulltime

Perception Engineer IV - AI Applications

As a Perception Engineer IV, you will focus on developing, optimizing, and deplo...

Location

United States , Lehi

Salary:

Not provided

Autonomous Solutions

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Robotics, Electrical Engineering, or a related technical field
10+ years of experience as a Perception Engineer, or similar working experience
Experience developing computer vision or perception models for detection, classification, segmentation, or tracking
Proficiency in programming languages such as Python, C, ROS, and C++ with an emphasis on C++ 11 or newer
Strong understanding of developing multithreaded embedded software applications in Linux
Hands on experience with frameworks such as TensorFlow or PyTorch and perception specific libraries or toolsets
Familiarity with camera technologies, LiDAR, radar, and sensor fusion techniques
Strong analytical and problem-solving abilities with the ability to design solutions for complex field conditions
Thorough understanding of mathematics, including linear algebra, especially solving least-squares equations and performing coordinate system transformations

Job Responsibility

Build and maintain perception models for object detection, semantic classification, instance segmentation, and tracking across diverse environments
Optimize perception pipelines for accuracy, speed, robustness, and reliability under real world field conditions including varying lighting, terrain, and sensor noise
Embed perception models into production systems and platform level services and ensure compatibility with planning, control, and safety modules
Convert perception models into scalable services, APIs, or embedded libraries tailored for real time robotic workloads
Tune models and pipelines to meet real-time performance requirements including low latency inference and efficient resource usage
Collaborate closely with robotics engineers, sensor experts, and software developers to align perception outputs with downstream system needs
Integrate models with sensor suites including cameras, LiDAR, radar, depth sensors, and multimodal fusion pipelines
Test, validate, and evaluate perception systems using simulation, recorded datasets, and field deployment to ensure reliability and predictable behavior
Monitor deployed perception systems and implement improvements or retraining strategies to enhance performance over time

What we offer

Full Benefits - 90% Medical, ESOP, 401K, Generous PTO

Fulltime

Senior AI Engineer (AI Agents & Applied LLMs)

We are looking for a Senior AI Engineer to design, build, and scale intelligent ...

Location

India , Bengaluru

Salary:

Not provided

InfoGrowth

Expiration Date

Until further notice

Requirements

5+ years of experience in software engineering, machine learning, or AI-related roles
Strong experience with Python (required)
familiarity with JavaScript/TypeScript is a plus
Hands-on experience with LLMs, prompt engineering, and AI frameworks (LangChain, LlamaIndex, etc.)
Experience building production-grade APIs and services
Knowledge of vector databases (Pinecone, FAISS, Weaviate, etc.)
Solid understanding of data structures, algorithms, and system design
Experience deploying AI systems on cloud platforms (AWS, GCP, or Azure)

Job Responsibility

Design and develop AI agents capable of reasoning, planning, and executing tasks autonomously
Build and deploy LLM-powered applications using models such as GPT, Claude, or open-source LLMs
Integrate AI systems with APIs, databases, tools, and third-party services
Optimize prompts, workflows, and agent architectures for accuracy, performance, and cost
Lead end-to-end AI projects from concept to production
Collaborate closely with product managers, designers, and backend teams
Establish best practices for AI safety, evaluation, monitoring, and governance
Mentor junior engineers and conduct technical reviews

Fulltime

Staff AI Engineer - Agentic AI Systems

As a Staff AI Engineer, you will play a key role in designing and delivering hig...

Location

India , Bengaluru, Karnataka, India | Hyderabad, Telangana, India | Pune, Maharashtra, India

Salary:

Not provided

Teradata

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science or equivalent from a recognized institution
8+ years of experience in backend services, distributed systems, or data platform development
Strong proficiency in Java, Go, or Python for service development
Deep understanding of design principles, distributed system patterns, and service architecture
Hands-on experience designing and developing RESTful APIs
Experience with SQL and NoSQL databases and data modelling
Strong debugging, problem solving, and troubleshooting skills
Experience with modern containerization and orchestration tools such as Kubernetes
Knowledge of public cloud platforms
Experience with AI productivity tools (e.g., GitHub Copilot)

Job Responsibility

Design, architect, develop, and maintain high quality systems, services, and applications with an emphasis on scalability, reliability, and performance
Collaborate with cross-functional engineers and product partners to shape architecture and consistently deliver end to end features
Build and integrate robust RESTful APIs, ensuring security, data consistency, and maintainability
Work with SQL and NoSQL databases to implement efficient data models and service access patterns
Apply and experiment with AI/ML technologies, including agentic AI and large language models (LLMs)
Use AI powered engineering tools to improve development quality, speed, and productivity
Mentor engineers, supporting them in technical planning, implementation, and best practices
Identify and resolve system performance bottlenecks, optimizing code, architecture, and infrastructure
Write unit and integration tests and participate in code reviews to uphold engineering excellence
Investigate production issues, ensuring timely and effective solutions

Fulltime

Senior Applications Engineer (PLM 3DExperience/HW Applications)

We’re seeking a Senior Applications Engineer (PLM 3DExperience/HW Applications) ...

Location

United States , Mountain View

Salary:

127000.00 - 185000.00 USD / Year

Aurora Innovation

Expiration Date

Until further notice

Requirements

8+ years of experience supporting, administering, and configuring CAD/PLM tools in an enterprise environment, specifically 3DEXPERIENCE and CATIA
Strong working knowledge of software infrastructure including Linux OS, MS SQL databases, web hosting servers (such as Apache Tomcat), load balancing, and reverse proxy configurations
Proven experience designing and executing enterprise-grade backup, restore, and disaster recovery strategies
Deep understanding of access and policy management, role configurations, and security contexts within ENOVIA/3DSpace
Demonstrated experience in user support, debugging system logs, troubleshooting software issues, managing support tickets, and writing technical runbooks
Direct experience executing 3DEXPERIENCE upgrades to newer versions
Hands-on programming and scripting expertise utilizing MQL, EKL, RESTful web services, and writing custom CATIA macros
Proven ability and comfort in leveraging AI tools to move faster and maintain agility in a fast-paced environment
Excellent written and verbal communication skills, with the ability to translate technical concepts to the user base and collaborate effectively with technical and non-technical teams, as well as third party vendors

Job Responsibility

Setup and maintain the 3DEXPERIENCE application platform infrastructure, ensuring high availability and performance across Linux-based systems
Design, test, and execute robust backup, disaster recovery, and business continuity plans to ensure platform resilience and data integrity
Manage access controls, security policies, and workspace configurations within 3DEXPERIENCE (ENOVIA/3DSpace)
Configure and customize the 3DX application platform and tools (e.g., CATIA) to satisfy business needs, including setting up Dashboards, Engineering Release workflows, Product Explorer, and Exalead search capabilities
Provide robust user support by troubleshooting platform issues, debugging application logs, and resolving complex technical challenges
Act as the primary point of contact for the engineering user base, communicating effectively to understand their issues and work requirements, and manage support tickets
Create and maintain up-to-date system documentation, troubleshooting runbooks, and a self-service knowledge base to empower users and streamline support processes
Collaborate directly with external software vendors (such as Dassault Systèmes) to augment capability where needed, escalate platform issues, and oversee system resolutions
Research, plan, and implement minor and major upgrades (e.g., code updates and new software releases) to the 3DX system alongside internal team members and partners
Provide automation solutions to reduce redundant effort and errors by developing custom scripts,writing CATIA macros, and utilizing MQL, EKL, REST APIs, and Web Services

What we offer

Annual bonus
Equity compensation
Benefits

Fulltime

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Planning Engineer - AI Applications

Job Description

Job Responsibility

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What we offer

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