Grid Edge Technologies

Grid Edge Technologies Engineer Jobs

5 jobs found

3d ago

AI and Image Processing Software Engineer

ASP Health Inc. Northbrook, IL

Northbrook, IL

3d ago

$70k - $90k/yr Full time APIs Applied Ai Artificial Intelligence

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Job Description

ASP Health Inc. is building and bringing to market novel medical devices, combining on-device workflows with AI and image processing to support clinicians with faster, more reliable slide assessment. Join an early-stage team where your software and model work directly contributes to devices used in clinical settings.

This role is based onsite in Northbrook, IL and focuses on developing and validating medical image processing models and production software, including cloud and edge inference pipelines.

Compensation: $70,000 to $90,000 per year. Schedule: flexible schedule with an adaptive work schedule.

What you will build

You will help develop AI-assisted assessment workflows for cytology and pathology microscope slide images. Responsibilities span model development, dataset and annotation workflow design, model validation, performance optimization for real-time inference, and integration into production software that connects inference outputs to clinician-facing visualization.

Responsibilities

Develop, optimize, test, and validate image processing models, algorithms, and software.
Create, maintain, and improve image processing systems, libraries, and frameworks.
Partner with cytopathologists to define annotation protocols and manage labeled image datasets, including annotation workflows and integration with CVAT, data quality auditing, cloud storage, and traceable dataset versioning.
Design model validation studies with appropriate data splits and clinically relevant metrics such as sensitivity and specificity for sample adequacy, ensuring consistent performance across sites, operators, stain batches, and devices.
Analyze and optimize models for real-time on-device inference, meeting defined latency and reliability targets using tooling such as ONNX and TensorRT and embedded GPU resources.
Develop and maintain cloud AI infrastructure on Google Cloud Platform (GCP), including data storage, compute resources, automated data pipelines, resource optimization, and model deployment workflows.
Develop and maintain production software that integrates AI models into ASP Health’s imaging platform, including image acquisition connections, inference pipelines, prediction metadata, image visualization, and clinician-facing interfaces.
Build and maintain GPU-accelerated training and inference workflows, including multi-GPU training, checkpoint/restart functionality, memory optimization, and performance benchmarking.
Create and troubleshoot production Python applications including backend services, APIs, and multiprocessing workflows.
Develop, maintain, and troubleshoot Windows-based software applications, including desktop user interfaces, packaging, installation, and release management.
Apply software engineering best practices such as automated testing, logging, error handling, debugging, version control, and reproducible builds to support reliability and maintainability.
Independently own solutions across the application stack and collaborate cross-functionally to ensure performance, reliability, and scalability.

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
3+ years of experience in a related position.
Strong programming skills in Python and C++.
Experience with medical image processing, specifically microscopy and cytology/pathology (for example, whole-slide imaging or digital pathology systems).
Hands-on experience training and evaluating deep learning models for segmentation, detection, or classification using frameworks such as PyTorch or TensorFlow, including with limited labeled data.
Understanding of computer vision techniques.
Experience building and operating ML workflows on cloud infrastructure such as GCP (cloud storage, GPU compute, Python training pipelines, and resource monitoring such as Prometheus). AWS or Azure experience is acceptable.
Experience with software development lifecycle and methodologies.
Experience with version control for code, data, and models (for example Git, DVC, MLflow).
Knowledge of signal processing and mathematical modeling.
Experience with GPU programming and optimization.
Experience working in healthcare, medical devices, or biotech.
Knowledge of image preprocessing, compression, and enhancement techniques.
Experience deploying models on edge or embedded hardware (for example ONNX, TensorRT, NVIDIA Jetson).
Eagerness to learn, grow, and take on many challenges and opportunities across the company.

Benefits

Health insurance, dental insurance, vision insurance
Health savings account (HSA) and flexible spending account (FSA)
Life insurance, company-paid life insurance, and optional medical/dependent care FSA
Disability insurance
Retirement plan (401k)
Paid time off and paid holidays
Flexible schedule and adaptive work schedule

Overview of ASP Health

ASP Health is an early-stage commercial company developing and bringing to market novel medical devices. The first device supports operating room use by taking a biopsy sample, depositing it on a microscope slide, and drying, fixing, and staining the slide for immediate evaluation of sample adequacy. The second device is a specialized digital microscope with AI and image processing capabilities to aid in assessment of microscope slides.

Technologies you may work with

Python, C++, PyTorch, TensorFlow
Google Cloud Platform (GCP), CVAT
ONNX, TensorRT, embedded GPU, NVIDIA Jetson
Windows, multi-GPU training, multiprocessing workflows
Prometheus, AWS, Azure
Git, DVC, MLflow

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6d ago

Staff AI Engineer

Arm Seattle, WA

Seattle, WA

6d ago

$171k - $231k/yr Full time Backend Developer Python Agentic Ai

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Job Description

Arm is building tools and technologies that let physical-AI agents interact with real devices across both cloud and edge environments. In this role, you will help develop SDKs and frameworks, along with evaluation and support capabilities that strengthen an open-source platform for external developers and partner deployments.

This Staff AI Engineer position is based in Seattle, WA (onsite) and is focused on designing agent-to-device experiences, powering them with practical inference runtimes, and maintaining the security and operational foundations needed for reliable deployments.

What you’ll work on

Design and implement features in SDKs and reference services across both the device side and the agent side
Build reference applications and demos that connect agents to real devices across edge and cloud, using PyTorch-ecosystem inference runtimes and popular agent frameworks
Create evaluation harnesses to measure reliability, latency, and correctness of agent-to-device interactions, then use results to improve the product
Bring up and maintain a fleet of development hardware including single-board computers, cameras, sensors, robot platforms, and edge servers for development, testing, and demonstrations
Contribute to the platform’s security and operational posture, including identity, authorization, observability, and safe failure behavior
Write documentation, samples, and learning materials for external developers, and support the open-source community through issues, reviews, and contributions
Collaborate with architects, product managers, and partner engineers on requirements, API design, and release quality

What you bring

Professional software engineering experience building distributed systems, with strong Python and working proficiency in at least one of C++, Rust, or Go
Experience building and shipping AI-powered applications, including LLM tool use or agent frameworks, and integrating them with real systems
Practical experience deploying ML models for inference on servers or edge devices using PyTorch or a comparable framework
Solid grounding in messaging, RPC, concurrency, failure handling, and testing for networked software
Comfort with Linux, embedded single-board computers, containers, and CI/CD workflows
Clear written and verbal communication, with the ability to work across hardware, systems, and ML disciplines
A degree or equivalent experience in Computer Science, Electrical Engineering, Robotics, or a related field

Technologies you’ll use

Python, C++, Rust, Go
PyTorch, LLM tool use, agent frameworks, PyTorch-ecosystem inference runtimes
Linux, containers, CI/CD workflows
RPC, single-board computers, embedded single-board computers
PyTorch or a comparable framework

Nice to have

Experience with publish/subscribe messaging systems or IoT protocols
Familiarity with the Model Context Protocol or similar agent-tool interfaces
Robotics or physical-AI background, such as ROS 2, robot arms, perception pipelines, or control loops
On-device inference experience with ExecuTorch, ONNX Runtime, or vendor NPU toolchains, and LLM serving with vLLM or similar
Experience designing evaluations or benchmarks for AI agents
Open-source contributions and experience supporting an external developer community
Security fundamentals for connected devices

Compensation and location

Location: Seattle, WA (onsite)

Salary range: USD 170,900 - 231,200 per year

No relocation package is available for this role.

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2mo ago

AI/ML Software Engineer

Envision Technology, LLC Londonderry, NH

Londonderry, NH

2mo 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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3mo ago

Senior Software Engineer – Edge Intelligence & Decentralized Grid Operations

GE Vernova Melbourne, FL

Melbourne, FL

3mo ago Closed

$98k - $164k/yr Full time Backend Developer Senior APIs

This position is no longer accepting applications (closed Aug 11, 2026).

Job Description

GE Vernova invites a Senior Software Engineer to our Melbourne, Florida location to help advance edge intelligence and decentralized grid operations. The role emphasizes edge-native software, federated data pipelines, and digital twin components to enable autonomous, resilient grid management. You will collaborate with data scientists, control engineers, infrastructure specialists, and customers to translate ideas into scalable grid solutions.

Responsibilities

Develop and deploy edge-native software modules enabling distributed sensing, control, and autonomous grid management
Build fault-tolerant data synchronization and concurrency control across multiple edge environments
Construct federated data pipelines that allow distributed nodes to collaborate securely without central orchestration
Incorporate field data sources such as SCADA, PMUs, and DER controllers
Implement IoT protocols and networks including LoRa, MQTT, DNP3, and Modbus
Bridge simulation environments with live grid operations
Incorporate AI/ML capabilities and federated control frameworks into next-generation grid platforms
Contribute to digital twin design using graph-based and physics-informed modeling
Support experimentation and prototyping at customer test sites and in simulation environments
Collaborate with data scientists, control engineers, infrastructure specialists, and customers
Partner with systems engineers to align software with physical grid systems
Work with product teams to rapidly turn ideas into validated, scalable solutions

Requirements

Strong scripting and programming skills across MATLAB, Go, Rust, Python (backend/edge) and front-end technologies such as HTML, CSS, TypeScript with React or Angular
Extensive experience with Kubernetes/K3s, Kafka or NATS, MQTT, gRPC, Pulsar, InfluxDB or TimescaleDB, and observability stacks (Prometheus, Grafana)
Hands-on work with digital twin and simulation modeling tools including OpenFMB, Modelica, and graph-based modeling, plus AI/ML model algorithms
Experience deploying AI/ML models in production environments
Background in federated architectures and resilient edge software applied to transmission and distribution applications

Technologies

MATLAB
Go
Rust
Python
HTML
CSS
TypeScript
React
Angular
Kubernetes
K3s
Kafka
NATS
MQTT
gRPC
Pulsar
InfluxDB
TimescaleDB
Prometheus
Grafana
OpenFMB
Modelica
AI/ML

Benefits

Medical, dental, vision, and prescription drug coverage
Health Coach from GE Vernova (24/7 nurse-based resource)
Employee Assistance Program (24/7 confidential assessment, counseling and referral services)
GE Vernova Retirement Savings Plan (401(k) with company matching contributions and company retirement contributions)
Tuition assistance
Adoption assistance
Paid parental leave
Disability benefits
Life insurance
12 paid holidays
Permissive time off
Relocation assistance provided

Behavioral Skills

Innovation in practice that yields measurable, customer-validated outcomes
Entrepreneurial mindset with a bias for action, curiosity, and cross-functional collaboration
Strong collaboration across software, controls, and hardware teams
Comfort with agile, mission-oriented work environments
Clear communication with the ability to explain complex concepts and openness to feedback and alternative viewpoints

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5mo ago

Associate Transmission Planning Engineer

AES Corporation Dayton, OH

Dayton, OH

5mo ago Closed

Full time Electrical Engineering Capacity Planning Engineering

This position is no longer accepting applications (closed Jun 20, 2026).

Job Description

AES Corporation offers an opportunity to contribute to the reliability and security of critical 34.5–345 kV transmission systems, onsite in Dayton, Ohio. In this role you will use industry-standard tools to support planning studies under FERC 715, collaborate with Indiana's utilities to craft cost-effective transmission plans, and help ensure readiness for regulatory audits. You will also support emergency operations to restore energization for AES Indiana customers, and grow your expertise through involvement in regional planning processes and NERC, FERC, and MISO compliance activities.

Responsibilities

Support the annual NERC TPL-001 Transmission System Planning Performance Assessment using steady-state, short-circuit, and dynamic power system analyses with TARA, PSS®E, ASPEN, and DSA Tools under FERC 715.
Assist with documentation for NERC EOP-005 System Restoration from Blackstart Resources, applying transient analyses with PSCAD.
Contribute to the NERC CIP-014 Physical Security assessment by modeling realistic and historical physical attacks to evaluate potential instability, separation, or cascading, using TARA, PSS®E, and DSA Tools.
Support or perform FAC-002 qualified changes and material modification impact studies to determine if new or modified loads, generation, or transmission threaten meeting FERC 715 performance, employing steady-state, short-circuit, dynamic, and transient techniques with TARA, PSS®E, ASPEN, DSA Tools, and PSCAD as needed.
Evaluate transmission system optimization and proposed plans to reduce overall investment while maintaining reliable service, leveraging traditional methods and emerging technologies such as GETs.
Participate in stakeholder meetings, plan projects, and evaluate MISO’s regional Transmission Planning process (MTEP) to ensure just and reasonable scope using steady-state, short-circuit, and dynamic analyses with TARA, PSS®E, ASPEN, and DSA Tools under FERC 715.
Engage in stakeholder activities for MISO’s Expedited Project Review (EPR) and Expedited Resource Adequacy Study (ERAS) to assess Transmission Projects with steady-state, short-circuit, dynamic, and transient techniques using TARA, PSS®E, ASPEN, DSA Tools, and PSCAD as governed by FERC 715.
Collaborate with Indiana’s five vertically integrated Investor-Owned Utilities and two Generation & Transmission Cooperatives to develop a cost-effective forecasted Transmission Plan that reliably serves current and new Indiana customers.
Prepare for and participate in regulatory audits by entities including NERC, IURC, FERC, and MISO to demonstrate adherence to Transmission Tariffs, Distribution Tariffs, and NERC compliance.
Provide Transmission Operations Control Center support during emergencies such as extreme weather, repairs, or system restoration to restore energization for AES Indiana’s customers.
Document tasks related to NERC standards (including TPL-007, TPL-008, FAC-003, FAC-010, FAC-011, FAC-014, PRC-012, PRC-026) using steady-state, short-circuit, dynamic, and transient analyses with TARA, PSS®E, ASPEN, DSA Tools, and PSCAD as needed.

Requirements

Bachelor's degree or equivalent experience in mechanical engineering, electrical engineering, or a related field.

Technologies

TARA
PSS®E
ASPEN
DSA Tools
PSCAD
CAPE
GETs

Highly Desired Skills

Bachelor's degree, certificate, or equivalent experience in power systems studies
Passing grade on the Fundamentals of Engineering
Proficiency in report writing, analysis, and compliance procedures
Solid understanding of regulatory frameworks (NERC, FERC, PJM/MISO)
Ability to communicate complex ideas clearly, verbally and in writing
Strong technical knowledge of the transmission grid
Proficiency with PSSE, TARA, DSA Tools, or similar software
Proficiency with ASPEN, CAPE, or similar software
Proficiency with PSCAD or similar software

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Grid Edge Technologies Engineer Jobs

AI and Image Processing Software Engineer

Staff AI Engineer

AI/ML Software Engineer

Senior Software Engineer – Edge Intelligence & Decentralized Grid Operations

Associate Transmission Planning Engineer

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