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Edge Ai Engineer Jobs

3 jobs found

1mo ago

AI/ML Software Engineer

Envision Technology, LLC Londonderry, NH

Londonderry, NH

1mo ago Closed

Full time Artificial Intelligence Automation Data & Ai

This position is no longer accepting applications (closed Sep 17, 2026).

Job Description

Envision Technology, LLC is seeking an AI/ML Software Engineer to develop, adapt, and optimize image recognition capabilities for tactical use, with deployment targeted to embedded and edge hardware. The role emphasizes high-confidence computer vision performance that remains reliable in real-world operating conditions.

Responsibilities

Assess, modify, and optimize existing image recognition algorithms, including object detection, semantic segmentation, and tracking approaches (such as YOLOv8, Mask R-CNN, and DeepSORT) for execution on embedded or edge computing platforms.
Design and implement synthetic labeled training datasets to strengthen robustness across different environmental and operational conditions.
Create synthetic imagery using physics-based modeling approaches, including illumination, material properties, sensor characteristics, and atmospheric effects, to better match actual optical sensor performance.
Measure and validate model performance using quantitative evaluation methods such as precision, recall, confusion matrices, and confidence intervals to support deployment readiness.
Partner with algorithm developers, hardware engineers, and system integrators to align AI performance with mission requirements and hardware constraints.
Monitor emerging AI/ML methods and edge-deployment frameworks to improve efficiency and system capability.

Required Qualifications

Bachelor’s degree in Computer Science, Electrical Engineering, Applied Mathematics, Physics, or a related field.
Proficiency with modern machine learning frameworks, including PyTorch, TensorFlow, and/or ONNX.
Experience with computer vision libraries and tools such as OpenCV, NVIDIA TensorRT, and/or OpenVINO.
Strong programming skills in Python and/or C++.
Experience deploying models on embedded or edge hardware, including NVIDIA Jetson, Intel NUC, or AMD Ryzen Embedded.
Ability to assess and refine algorithmic performance using quantitative evaluation techniques.

Technologies

PyTorch, TensorFlow, ONNX
OpenCV
NVIDIA TensorRT, OpenVINO
Python, C++
NVIDIA Jetson, Intel NUC, AMD Ryzen Embedded
YOLOv8, Mask R-CNN, DeepSORT

Desired Qualifications

Master’s degree in a relevant discipline or 5+ years of applied AI/ML development experience focused on imaging, optical, or sensor-based systems.
Background in optical physics, radiometry, or computer graphics-based image synthesis.
Experience generating physics-based synthetic imagery using tools such as Blender, Unreal Engine, or custom rendering pipelines.
Understanding of sensor modeling and the integration of physics-based parameters, such as MTF, SNR, contrast, and spectral response.
Familiarity with MLOps tools for versioning, data curation, and training pipeline automation.

Benefits

401(k)
Dental insurance
Flexible spending account
Health insurance
Health savings account
Life insurance
Paid parental leave
Paid time off
Parental leave
Tuition reimbursement
Vision insurance

Additional Information

Applicant must be a US Person.
Candidates should have the aptitude and motivation to contribute proactively in a startup culture from day one and grow with the company.
Brief travel within the US to customer locations may be required occasionally to support product testing or design reviews.

Job Details

Job type: Full-time
Work location: In person
Location: Londonderry, NH (onsite)

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1mo ago

Senior Machine Learning Engineer

Motion Recruitment Wilmington, MA

Wilmington, MA

1mo ago Closed

Full time Senior Artificial Intelligence Data Analysis

This position is no longer accepting applications (closed Sep 15, 2026).

Job Description

Own end to end machine learning delivery for edge deployed models, from sensor data ingestion to real time inference on constrained hardware.

Responsibilities

Lead the full ML lifecycle, moving from raw sensor data to a model running on constrained hardware
Design and build sensor data pipelines to collect, clean, and organize measurements
Train, optimize, and deploy signal processing and anomaly detection models for edge devices
Integrate inference with device software by collaborating with embedded engineers for validation on target hardware
Build and maintain MLOps infrastructure to support regulatory and quality workflows
Participate in sensor selection and validation activities
Develop and refine ML models for real time device applications and ongoing performance improvements
Work closely with firmware teams to embed and test AI features on hardware platforms
Set up and oversee tooling for experiment tracking, automated evaluations, and deployment management
Analyze model behavior, ensure reliability, and troubleshoot issues to sustain high quality outputs
Document model development to support regulatory submissions and internal quality processes

Requirements

5+ years of machine learning engineering experience
Strong proficiency in Python
Hands on experience with PyTorch or TensorFlow
Experience deploying models to edge using TFLite, ONNX, CoreML, TensorRT, or equivalent
Experience building sensor data pipelines
Proficiency with MLOps
Solid software engineering fundamentals
Proficiency in C or C++
Degree in a relevant field

Technologies

Python
PyTorch
TensorFlow
TFLite
ONNX
CoreML
TensorRT
MLOps
C
C++

Benefits

Bonus OR Commission eligible
Medical Insurance
Dental Benefits
Vision Benefits
Paid Time Off (PTO)
401(k) {including match - if applicable}

Location

Wilmington, MA (onsite)

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2mo ago

Agentic AI Engineer

Booz Allen Hamilton McLean, VA

McLean, VA

2mo ago Closed

$113k - $257k/yr Full time Agent Orchestration Agent To Agent AI

This position is no longer accepting applications (closed Aug 15, 2026).

Job Description

Onsite Agentic AI Engineer role at Booz Allen Hamilton in McLean, VA, focused on designing and deploying agentic AI solutions across enterprise environments.

Responsibilities

Embed agentic AI capabilities into existing enterprise systems and workflows, covering API integration, process automation, and end-user adoption.
Architect intelligent agents that can reason, plan, and act within complex environments.
Develop and deploy collaborative multi-agent systems using Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocols.
Build advanced retrieval augmented generation pipelines that fuse unstructured data with Knowledge Graphs to improve reasoning and context retention.
Fine-tune Small Language Models for domain-specific tasks and optimize performance on edge devices.

Requirements

6+ years of software development experience.
3+ years in cloud environments (AWS and Azure), evaluating architectural tradeoffs, delivering scalable service-based software, and using LangChain, LangGraph, AutoGen, PydanticAI, CrewAI, or LlamaIndex.
Experience with Model Context Protocol (MCP) for tool integration, A2A for collaboration, RAG architectures and Knowledge Graphs, memory architectures for long-running agents (episodic, semantic, and working memory), and agent benchmarking frameworks such as GAIA, SWE-bench, or custom eval harnesses.
Experience with tool or function calling patterns across multiple LLM providers.
Experience fine-tuning LLMs or Small Language Models.
Knowledge of modern software design patterns, including microservice design or edge computing.
Ability to translate agentic AI capabilities into practical enterprise workflows bridging technical implementation and business processes.
Adaptability in a rapidly changing environment and the ability to navigate ambiguity.
Ability to obtain a Secret security clearance.
Bachelor’s degree in Computer Science or Computer Engineering.

Technologies

AWS, Azure
LangChain, LangGraph, AutoGen, PydanticAI, CrewAI, LlamaIndex
Model Context Protocol (MCP), Agent-to-Agent (A2A)
Knowledge Graphs, Small Language Models (SLMs)
TensorFlow, PyTorch, llama.cpp, vLLM
Cursor, Windsurf
GAIA, SWE-bench

Benefits

Health benefits
Life benefits
Disability benefits
Financial benefits
Retirement benefits
Paid leave
Professional development
Tuition assistance
Work-life programs
Dependent care

Work model

Remote: May require in-person work at Booz Allen or customer facilities on occasion.
Hybrid: Frequent in-office work at Booz Allen facilities, with possible customer visits as needed by the role.
Onsite: Primary work performed at Booz Allen offices or customer facilities, with direct collaboration as required.

Clearance

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

Compensation

Salary range USD 112,800 to 257,000 per year, determined by location, education, experience, skills, and contract-specific considerations.

Identity verification

As part of the hiring process, candidates may undergo identity verification that uses biometrics and artificial intelligence. Interviews and assessments may require being on camera, and Booz Allen may capture images to verify identity and prevent fraud.

Candidate AI usage policy

AI tools are part of Booz Allen's daily work, with an emphasis on responsible use. Use of AI to assist with interview responses is prohibited unless explicit permission is provided.

Non-discrimination

All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, or any other status protected by applicable law.

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