AI Systems Engineer IV Job at Autonomous Solutions (Mendon)

AI Systems Engineer IV

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, Engineering, or a related technical field
5+ years of experience in systems engineering, AI engineering, or integrating complex technical systems
Proficiency in programming languages such as Python and Java
Strong understanding of machine learning principles, data modeling, and model deployment workflows
Experience with system integration, cloud technologies, and distributed architectures
Background working with tools like Jama, Jira, Doors, Requisite-Pro, Polarion SVN, and ANSYS
Familiarity with security, monitoring, and lifecycle management of AI powered systems

Job Responsibility

Design system level frameworks that allow AI models to interact seamlessly with software, hardware, and cloud components
Integrate machine learning models into production systems, ensuring performance, reliability, and maintainability
Oversee the lifecycle of AI features including updates, security, monitoring, and scaling across deployments
Collaborate closely with data scientists, robotics engineers, and software developers to deliver cohesive and efficient AI enabled systems
Evaluate system level risks, dependencies, and performance impacts when introducing new AI capabilities
Document system architecture, integration requirements, and operational processes
Ensure ethical considerations such as transparency and accountability are reflected in system design and implementation
Stay current with emerging technologies, industry trends, and best practices in AI systems engineering

What we offer

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

Fulltime

Embedded Software 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 Engineering, Electrical Engineering, Computer Science, or a related technical field
10+ years professional experience designing and implementing embedded, real-time software systems using C/C++ for embedded processors
Familiarity with large multithreaded embedded applications, running on an RTOS
Experience deploying AI or machine learning models on embedded systems or constrained hardware
Strong understanding of ML inference runtimes such as TensorRT, ONNX Runtime, OpenVINO, or TensorFlow Lite
Experience optimizing compute, memory, and power usage for real time embedded applications
Familiarity with microcontrollers, embedded Linux, real time operating systems, or hardware accelerators
Strong analytical and problem-solving skills with the ability to design efficient embedded AI solutions

Job Responsibility

Deploy models onto constrained hardware and embedded systems
Optimize compute, memory, and performance for real time operation
Tune real time performance and collaborate with robot teams
Develop and integrate AI models and algorithms that enhance system efficiency and reliability
Convert AI models into production ready components such as embedded libraries or hardware optimized modules
Test, validate, and monitor AI performance on embedded platforms to ensure robustness and stability
Collaborate with robotics, firmware, and software teams to ensure embedded AI alignment with system requirements
Continuously improve embedded AI systems through updates, optimizations, and performance refinements
Stay current with embedded AI tools, runtimes, hardware accelerators, and optimization techniques

What we offer

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

Fulltime

Embedded Software 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 Engineering, Electrical Engineering, Computer Science, or a related technical field
10+ years professional experience designing and implementing embedded, real-time software systems using C/C++ for embedded processors
Familiarity with large multithreaded embedded applications, running on an RTOS
Experience deploying AI or machine learning models on embedded systems or constrained hardware
Strong understanding of ML inference runtimes such as TensorRT, ONNX Runtime, OpenVINO, or TensorFlow Lite
Experience optimizing compute, memory, and power usage for real time embedded applications
Familiarity with microcontrollers, embedded Linux, real time operating systems, or hardware accelerators
Strong analytical and problem-solving skills with the ability to design efficient embedded AI solutions

Job Responsibility

Deploy models onto constrained hardware and embedded systems
Optimize compute, memory, and performance for real time operation
Tune real time performance and collaborate with robot teams
Develop and integrate AI models and algorithms that enhance system efficiency and reliability
Convert AI models into production ready components such as embedded libraries or hardware optimized modules
Test, validate, and monitor AI performance on embedded platforms to ensure robustness and stability
Collaborate with robotics, firmware, and software teams to ensure embedded AI alignment with system requirements
Continuously improve embedded AI systems through updates, optimizations, and performance refinements
Stay current with embedded AI tools, runtimes, hardware accelerators, and optimization techniques

What we offer

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

Fulltime

New

Senior Director of AI Engineering

Coherent Solutions, Incorporated, seeks a Senior Director of AI Engineering in M...

Location

United States , Minneapolis

Salary:

322000.00 USD / Year

Coherent Solutions

Expiration Date

Until further notice

Requirements

Master’s degree in Computer Science, Data Science, Statistics, Computer Engineering, or a closely related technical field
at least 10 years of experience in AI, Machine Learning, Data Science, or Advanced Analytics, including at least 5 years in a technical or executive leadership capacity
10 years of: (i) developing, training, and deploying AI and machine learning models using Python, SQL, Spark, and modern statistical and deep-learning frameworks such as Scikit-learn, TensorFlow, or PyTorch
and (ii) building predictive modeling systems for enterprise use cases, including propensity models for quality and risks
5 years of: (i) architecting and delivering end-to-end AI platforms and production workflows using Azure, AWS, Databricks, and MLOps tooling such as Spark pipelines, MLflow, and CI/CD automation
(ii) applying predictive analytics and/or advanced machine learning techniques (natural language processing and computer vision) to real-world product or enterprise applications
(iii) leading teams of Data Scientists, ML Engineers, and AI practitioners within Agile environments
and (iv) driving AI strategy and governance, including collaboration with executive stakeholders on ROI modeling, product direction, and roadmap
presenting complex AI outcomes to non-technical and C-level audiences, and implementing Responsible AI and data governance frameworks
at least 2 years of experience with GenAI/orchestration frameworks, including LangChain or LangGraph

Job Responsibility

Develop and execute comprehensive go-to-market and engineering strategies for AI, ML, and Generative AI offerings, aligned with corporate objectives set by the CTO
Design and oversee scalable AI architectures and MLOps frameworks using Azure ML, AWS Bedrock/SageMaker, Databricks, MLFlow, LangChain/LangGraph
Lead the development, validation, and deployment of machine learning and statistical models for prediction, personalization, optimization, and risk detection
Apply statistical and causal inference methods - regression, Bayesian inference, and uplift modeling - to measure model performance and business ROI
Direct the creation and maintenance of experimentation and analytics platforms supporting continuous testing, ML lifecycle automation, and reproducibility at enterprise scale
Oversee development of AI accelerators and reusable components in areas such as NLP, Generative AI, Computer Vision, and Agentic AI
Oversee management of data engineering and analytics infrastructure, ensuring data reliability, lineage, and compliance across distributed data pipelines using Python, SQL, and Spark
Lead implementation of Responsible AI frameworks, including bias detection, model explainability, and compliance with ethical and regulatory standards (GDPR, SEC/FINRA)
Partner with Sales, Marketing, and Delivery teams to define AI-driven value propositions and support client acquisition through technical pre-sales engagement and executive presentations
Serve as senior technical advisor to client executives, shaping multi-year AI roadmaps and quantifying business impact

What we offer

health insurance
vision insurance
dental insurance
life insurance
PTO
401k
HSA

Fulltime

C# Software 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, Software Engineering, or a related technical field
10+ years of experience working as a software engineer utilizing C#
Experience developing and deploying AI or machine learning models in production software systems
Strong understanding of machine learning frameworks such as TensorFlow or PyTorch
Hands on experience embedding AI features into software platforms, APIs, or internal tools
Experience optimizing models and workflows for real time performance and efficiency
Strong analytical and problem-solving abilities with the ability to implement technical solutions in software environments
Ability to collaborate effectively with interdisciplinary teams and communicate complex technical concepts clearly

Job Responsibility

Embed AI features into the Mobius software platform, including workflows, APIs, and internal tools
Develop and integrate AI models and algorithms that enhance platform capabilities, efficiency, and automation
Optimize platform workflows and AI systems for real time performance, low latency, and reliability
Collaborate with software engineers, robotics teams, and data scientists to ensure AI features align with system and product requirements
Convert AI models into production ready components such as services, APIs, or embedded libraries for the Mobius platform
Test, validate, and monitor AI capabilities within the software platform to ensure robustness, stability, and high performance
Continuously improve AI systems and workflows by implementing updates, optimizations, and automation strategies

What we offer

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

Fulltime

C# Software 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, Software Engineering, or a related technical field
10+ years of experience working as a software engineer utilizing C#
Experience developing and deploying AI or machine learning models in production software systems
Strong understanding of machine learning frameworks such as TensorFlow or PyTorch
Hands on experience embedding AI features into software platforms, APIs, or internal tools
Experience optimizing models and workflows for real time performance and efficiency
Strong analytical and problem-solving abilities with the ability to implement technical solutions in software environments
Ability to collaborate effectively with interdisciplinary teams and communicate complex technical concepts clearly

Job Responsibility

Embed AI features into the Mobius software platform, including workflows, APIs, and internal tools
Develop and integrate AI models and algorithms that enhance platform capabilities, efficiency, and automation
Optimize platform workflows and AI systems for real time performance, low latency, and reliability
Collaborate with software engineers, robotics teams, and data scientists to ensure AI features align with system and product requirements
Convert AI models into production ready components such as services, APIs, or embedded libraries for the Mobius platform
Test, validate, and monitor AI capabilities within the software platform to ensure robustness, stability, and high performance
Continuously improve AI systems and workflows by implementing updates, optimizations, and automation strategies

What we offer

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

Fulltime

AI Infrastructure Engineer IV

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, Computer Engineering, or a related technical field
10+ years of experience in cloud infrastructure, DevOps, or platform engineering with an emphasis on AI/ML systems
Strong understanding of modern AI infrastructure components, including distributed computing, GPU-accelerated systems, and large-scale storage
Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud
Proficiency with Kubernetes, Docker, Terraform, or similar containerization and orchestration tools
Strong programming skills in Python and/or C++, with experience supporting machine learning frameworks (TensorFlow, PyTorch, etc.)
Experience implementing CI/CD pipelines, MLOps practices, and automation tooling

Job Responsibility

Design, build, and maintain high-performance computing infrastructure including CPUs, GPUs, storage, and networking to support AI and ML workloads
Deploy and manage AI systems within cloud environments (AWS, Azure, GCP), ensuring scalability, cost-efficiency, and high availability
Collaborate with data scientists, ML engineers, and software teams to support AI model development, training, and deployment workflows
Implement automation, CI/CD, DevOps, and MLOps practices to create efficient, repeatable, and reliable AI infrastructure processes
Optimize compute and storage systems to achieve maximum performance and throughput for AI/ML pipelines
Monitor system health and troubleshoot performance bottlenecks, infrastructure issues, and deployment challenges

What we offer

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

Fulltime

AI Infrastructure Engineer IV

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, Computer Engineering, or a related technical field
10+ years of experience in cloud infrastructure, DevOps, or platform engineering with an emphasis on AI/ML systems
Strong understanding of modern AI infrastructure components, including distributed computing, GPU-accelerated systems, and large-scale storage
Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud
Proficiency with Kubernetes, Docker, Terraform, or similar containerization and orchestration tools
Strong programming skills in Python and/or C++, with experience supporting machine learning frameworks (TensorFlow, PyTorch, etc.)
Experience implementing CI/CD pipelines, MLOps practices, and automation tooling

Job Responsibility

Design, build, and maintain high-performance computing infrastructure including CPUs, GPUs, storage, and networking to support AI and ML workloads
Deploy and manage AI systems within cloud environments (AWS, Azure, GCP), ensuring scalability, cost-efficiency, and high availability
Collaborate with data scientists, ML engineers, and software teams to support AI model development, training, and deployment workflows
Implement automation, CI/CD, DevOps, and MLOps practices to create efficient, repeatable, and reliable AI infrastructure processes
Optimize compute and storage systems to achieve maximum performance and throughput for AI/ML pipelines
Monitor system health and troubleshoot performance bottlenecks, infrastructure issues, and deployment challenges

What we offer

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

Fulltime

AI Systems Engineer IV

Autonomous Solutions

Location:
United States , Mendon

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
January 09, 2026

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Location:United States , Mendon

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Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:January 09, 2026

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Location:
United States , Mendon

Category:
IT - Software Development

Contract Type:
Not provided

Job Posted:
January 09, 2026