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Space Research Jobs in Kansas (NOW HIRING)

$175K - $245K/yr

... and space constrained applications. EnCharge AI launched in 2022 and is led by veteran ... Research and develop quantization-aware training (QAT) and post-training quantization (PTQ ...

Opportunity to set the threat-research direction at an MDR company changing the space, with the influence and growth of a founding technical voice. * Collaborate with a talented and innovative team ...

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Space Research information

How do you become a space researcher?

To become a space researcher, typically a bachelor's degree in physics, astronomy, engineering, or a related field is required, followed by advanced degrees such as a master's or Ph.D. for research roles. Gaining experience through internships, research projects, and developing skills in data analysis, programming, and laboratory techniques are also important for pursuing a career in space research.

How to get a job in space research?

To pursue a career in space research, candidates typically need a strong background in science, engineering, or mathematics, often requiring a relevant bachelor's or advanced degree. Gaining experience through internships, research projects, or working with space agencies and organizations like NASA or ESA can improve job prospects. Skills in data analysis, programming, and familiarity with space-related tools are also valuable.

What jobs can I do if I like space?

Jobs related to space include aerospace engineer, astrophysicist, satellite technician, space mission analyst, and planetary scientist. These roles often require degrees in engineering, physics, or astronomy, along with skills in data analysis, programming, and familiarity with space-related tools and technologies.

What is the difference between Space Research vs Satellite Technician?

AspectSpace ResearchSatellite Technician
Required CredentialsAdvanced degrees in aerospace, physics, or engineeringTechnical diploma or associate degree in electronics or telecommunications
Work EnvironmentResearch labs, space agencies, universitiesFieldwork, satellite ground stations, repair facilities
Employer & IndustryNASA, ESA, private aerospace companiesSatellite service providers, telecommunications companies

Space Research involves designing, developing, and analyzing space missions and technologies, often requiring advanced degrees and research skills. Satellite Technicians focus on maintaining, repairing, and installing satellite systems, typically with technical certifications. While both roles work within the aerospace industry, Space Research is more research-oriented, whereas Satellite Technicians are hands-on technical specialists.

What are popular job titles related to Space Research jobs in Kansas?

For Space Research jobs in Kansas, the most frequently searched job titles are:

What job categories do people searching Space Research jobs in Kansas look for?

The top searched job categories for Space Research jobs in Kansas are:

Infographic showing various Space Research job openings in Kansas as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 85% Full Time, 10% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

$175K - $245K/yr

Full-time

Re-posted 6 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.