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Edge Ai Jobs in Kansas (NOW HIRING)

$175K - $245K/yr

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge's robust and scalable next-generation in-memory computing technology provides orders-of ...

You will be a key leader, responsible for designing, building, and deploying cutting-edge data infrastructure that powers our next generation of AI-driven security products. This role requires ...

No prior AI experience needed. Your ability to read a statute and break it into precise, testable ... Write clear, self-contained test scenarios (including edge cases) for failed criteria, with ...

No prior AI experience needed. Your ability to read a statute and break it into precise, testable ... Write clear, self-contained test scenarios (including edge cases) for failed criteria, with ...

No prior AI experience needed. Your ability to read a statute and break it into precise, testable ... Write clear, self-contained test scenarios (including edge cases) for failed criteria, with ...

$89K - $123K/yr

This role offers the opportunity to work at the intersection of cutting-edge AI and life-saving healthcare technology, making a tangible impact on patient outcomes. Location: Remote US Company:

No prior AI experience needed. Your ability to read a statute and break it into precise, testable ... Write clear, self-contained test scenarios (including edge cases) for failed criteria, with ...

No prior AI experience needed. Your ability to read a statute and break it into precise, testable ... Write clear, self-contained test scenarios (including edge cases) for failed criteria, with ...

No prior AI experience needed. Your ability to read a statute and break it into precise, testable ... Write clear, self-contained test scenarios (including edge cases) for failed criteria, with ...

No prior AI experience needed. Your ability to read a statute and break it into precise, testable ... Write clear, self-contained test scenarios (including edge cases) for failed criteria, with ...

Contribute to overall EDGE practice strategy as a GTM leader, shaping offering evolution in line with SAP roadmap priorities (S/4HANA migration, Joule/AI, Business Data Cloud, RISE/GROW). SAP ...

Through industry-leading Linux, Kubernetes, Edge and AI infrastructure solutions, SUSE delivers the flexibility to innovate everywhere-from the data center to multi-cloud and out to the edge. Only ...

No prior AI experience needed. Your ability to read a statute and break it into precise, testable ... Write clear, self-contained test scenarios (including edge cases) for failed criteria, with ...

No prior AI experience needed. Your ability to read a statute and break it into precise, testable ... Write clear, self-contained test scenarios (including edge cases) for failed criteria, with ...

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Edge Ai information

What is the difference between Edge Ai vs Data Scientist?

AspectEdge Ai
Required CredentialsTypically a degree in computer science, electrical engineering, or related fields; certifications in AI or machine learning are common
Work EnvironmentPrimarily involves working with embedded systems, IoT devices, and hardware in diverse locations
Employer & Industry UsageUsed by tech companies, hardware manufacturers, and IoT solution providers focusing on real-time data processing
Common Search & Comparison IntentUnderstanding hardware-focused AI deployment and real-time processing capabilities

Edge Ai specialists focus on deploying AI models directly on hardware devices at the edge, emphasizing real-time processing and hardware integration. Data Scientists, however, primarily analyze data, develop models, and work in cloud or server environments. While both roles involve AI and machine learning, Edge Ai is more hardware-centric, whereas Data Scientists focus on data analysis and model development in software environments.

What is edge AI and how does it work?

Edge AI refers to deploying artificial intelligence algorithms directly on devices at the edge of the network, such as sensors or smartphones, rather than relying on centralized cloud servers. It processes data locally, enabling faster response times, reduced bandwidth use, and improved privacy. Professionals working with edge AI often need skills in embedded systems, machine learning, and hardware integration.

What are popular job titles related to Edge Ai jobs in Kansas?

For Edge Ai jobs in Kansas, the most frequently searched job titles are:

What job categories do people searching Edge Ai jobs in Kansas look for?

The top searched job categories for Edge Ai jobs in Kansas are:

What cities in Kansas are hiring for Edge Ai jobs?

Cities in Kansas with the most Edge Ai job openings:

Infographic showing various Edge Ai job openings in Kansas as of August 2026, with employment types broken down into 82% Full Time, 13% Part Time, and 5% Contract. Highlights an 80% In-person, 10% Hybrid, and 10% Remote job distribution.

$175K - $245K/yr

Full-time

Re-posted 15 days ago


Job description

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge's robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today's best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems.

About the Role

EnCharge AI is looking for an experienced AI Research Engineer to optimize deep learning models for deployment on edge AI platforms. You will work on model compression, quantization strategies, and efficient inference techniques to improve the performance of AI workloads. 

Responsibilities

  • Research and develop quantization-aware training (QAT) and post-training quantization (PTQ) techniques for deep learning models.

  • Implement low-bit precision optimizations (e.g., INT8, BF16).

  • Design and optimize efficient inference algorithms for AI workloads, focusing on latency, memory footprint, and power efficiency.

  • Work with frameworks such as PyTorch, ONNX Runtime, and TVM to deploy optimized models.

  • Analyze accuracy trade-offs and develop calibration techniques to mitigate precision loss in quantized models.

  • Collaborate with hardware engineers to optimize model execution for edge devices, and NPUs.

  • Contribute to research on knowledge distillation, sparsity, pruning, and model compression techniques.

  • Benchmark performance across different hardware and software stacks.

  • Stay updated with the latest advancements in AI efficiency, model compression, and hardware acceleration. 

Qualifications

  • Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field.

  • Strong expertise in deep learning, model optimization, and numerical precision analysis.

  • Hands-on experience with model quantization techniques (QAT, PTQ, mixed precision).

  • Proficiency in Python, C++, CUDA, or OpenCL for performance optimization.

  • Experience with AI frameworks: PyTorch, TensorFlow, ONNX Runtime, TVM, TensorRT, or OpenVINO.

  • Understanding of low-level hardware acceleration (e.g., SIMD, AVX, Tensor Cores, VNNI).

  • Familiarity with compiler optimizations for ML workloads (e.g., XLA, MLIR, LLVM). 

EnchargeAI is an equal employment opportunity employer in the United States.

The salary range for this position is $180,000 to $240,000 USD per year. (Per Year: $175,000 to $245,000 CAD | 116,000 to 154,000 EUR)
Actual compensation offered will be determined based on job-related knowledge, skills, and experience.