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Aerospace Engineer Jobs in Springfield, MO (NOW HIRING)

Bass Pro Shops

Lead Engineer AI/ML - Onsite

Springfield, MO · On-site

$93K - $122K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Machine Learning Engineer designs, builds, tests, and optimizes machine learning systems that support enterprise AI initiatives across the business. This role is responsible for developing ...

HiFyve

Mechanical Design Engineer II

Springfield, MO

$71K - $100K/yr

HiFyve has a client in Springfield, MO that is hiring for a Mechanical Design Engineer II role. Pay: $71K-$100K Day Shift This role performs and leads design and layout work across multiple major ...

HiFyve

Mechanical Design Engineer

Springfield, MO

$70K - $95K/yr

HiFyve is hiring a Mechanical Design Engineer in Springfield, MO. * Day Shift * Full Benefits Package * Entry-Level - $65k - $90k / per year * Design, analyze, and test product lines

EnerSys

Quality Engineer III

Springfield, MO

$60K - $78K/yr

Job Purpose The Quality Engineer works to support the manufacturing site and distribution center with any quality related issue, from supplier, internal processes, or customer concerns. They are ...

EnerSys Delaware Inc.

Quality Engineer III

Springfield, MO · On-site

$65K - $84K/yr

Job Purpose The Quality Engineer works to support the manufacturing site and distribution center with any quality related issue, from supplier, internal processes, or customer concerns. They are ...

EnerSys Delaware, Inc.

Quality Engineer III

Springfield, MO · On-site

$60K - $78K/yr

Job Purpose The Quality Engineer works to support the manufacturing site and distribution center with any quality related issue, from supplier, internal processes, or customer concerns. They are ...

Amazon

Area Manager II

Republic, MO · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Collaborate with all support teams including Safety, Engineering, Loss Prevention, Quality ... aerospace, medical, cosmetics, production or distribution environments. Amazon is an equal ...

Amphenol

First Shift Safety Specialist

Springfield, MO · On-site

$65K - $82K/yr

  • Medical

  • Retirement

... aerospace and military. We are located across three continents, and are looking for highly ... Human Resources, Engineering, Quality, and the Environmental Supervisor to ensure a safe ...

Amazon

Operations Manager

Republic, MO · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Engineering, Operations, Supply Chain/Logistics, or a related field. - Experience in: military, manufacturing, automotive, biotech, electronics, energy, instrumentation, machinery, defense/aerospace ...

Stellantis

Product Quality Engineer

Springfield, MO · On-site

$65K - $84K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Plant Quality Engineer (PQE) - Responsible for all aspects of product conformity for their systems / Components at the Warren Truck Assembly Plant. The PQE reports directly to the PQE Lead and ...

Bass Pro Shops

Senior Customer Insights Engineer

Springfield, MO · On-site

$95K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Senior Customer Insights Engineer leads customer experience programs by combining technical skills, data analysis, and leadership storytelling. Key responsibilities include Qualtrics program ...

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Showing results 41-57

All JobsAerospace Engineer JobsAerospace Engineer Jobs in Springfield, MO

Aerospace Engineer information

See Springfield, MO salary details

$38.2K

$98.8K

$150.1K

How much do aerospace engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for aerospace engineer in Springfield, MO is $98,810.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,500.00 and $120,500.00 per year, depending on experience, location, and employer.

What do aerospace engineers do?

Aerospace Engineers manufacture and design aircraft, satellites, missiles, aeronautical and astronautical products and technologies for development, research, defense, and commercial use. They document and evaluate the production of aircraft and aircraft technologies, including commercial and military airplanes, propulsion systems, navigation systems, instrumentation, communication, and thermodynamic and aerodynamic materials used in flight. Aerospace Engineers use highly complex computer systems and software to model, design, evaluate, and simulate parts, products, and vehicles in order to determine if proposals are financially feasible and whether designs will meet regulatory and safety standards. They confer with each other on large-scale projects that require group input, completing a multitude of tasks on a single project through the shared duties of many engineers.

What are the key skills and qualifications needed to thrive as an aerospace engineer, and why are they important?

To thrive as an Aerospace Engineer, you need a solid background in aerodynamics, propulsion, materials science, and systems engineering, typically backed by a bachelor's or master's degree in aerospace or mechanical engineering. Familiarity with CAD software, simulation tools like MATLAB or ANSYS, and industry certifications such as a Professional Engineer (PE) license are commonly required. Strong analytical thinking, attention to detail, and effective teamwork and communication skills help you excel in collaborative and innovative environments. These skills and qualifications are crucial for designing safe, efficient, and cutting-edge aerospace systems that meet rigorous industry standards.

What are some common challenges aerospace engineers face when working on multidisciplinary teams?

Aerospace engineers often collaborate with professionals from fields like electrical, mechanical, and software engineering, which can present communication and coordination challenges. Navigating different technical languages, aligning project goals, and integrating diverse components require strong teamwork and adaptability. Successful aerospace engineers proactively build cross-functional relationships, participate in regular project meetings, and stay open to feedback to ensure seamless integration of all systems. These collaborative skills are just as essential as technical expertise in bringing complex aerospace projects to completion.

What is the difference between Aerospace Engineer vs Mechanical Engineer?

AspectAerospace EngineerMechanical Engineer
Required CredentialsBachelor's in aerospace or aeronautical engineering; often a Professional Engineer (PE) licenseBachelor's in mechanical engineering; PE license optional
Work EnvironmentDesigning aircraft, spacecraft, satellites; working in labs, design offices, and manufacturingDesigning machinery, engines, HVAC systems; working in factories, labs, and offices
Industry UsageAerospace, defense, space explorationAutomotive, manufacturing, energy, robotics
Common Search/ComparisonYesNo

In summary, aerospace engineers specialize in designing and developing aircraft and spacecraft, often requiring specific aerospace credentials and working in specialized environments. Mechanical engineers have a broader focus on machinery and systems across various industries, with more general credentials. The key difference lies in their industry focus and the types of projects they handle.

What kind of jobs do aerospace engineers do?

Aerospace engineers design, develop, and test aircraft, spacecraft, satellites, and missiles. They work on improving aerodynamics, propulsion systems, and materials, often using computer-aided design (CAD) software and adhering to safety and industry standards. Their work can involve research, manufacturing, and testing in laboratories or on production floors.
More about Aerospace Engineer jobs

What are the most commonly searched types of Aerospace Engineer jobs in Springfield, MO?

The most popular types of Aerospace Engineer jobs in Springfield, MO are:

What are popular job titles related to Aerospace Engineer jobs in Springfield, MO?

For Aerospace Engineer jobs in Springfield, MO, the most frequently searched job titles are:

What job categories do people searching Aerospace Engineer jobs in Springfield, MO look for?

The top searched job categories for Aerospace Engineer jobs in Springfield, MO are:

What cities near Springfield, MO are hiring for Aerospace Engineer jobs?

Cities near Springfield, MO with the most Aerospace Engineer job openings:

Aerospace Engineer jobs near you
Infographic showing various Aerospace Engineer job openings in Springfield, MO as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $98,810 per year, or $47.5 per hour.

Lead Engineer AI/ML - Onsite

Bass Pro Shops

Springfield, MO • On-site

$93K - $122K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago

Bass Pro Shops rating

6.5

Company rating: 6.5 out of 10

Based on 437 frontline employees who took The Breakroom Quiz

15th of 39 rated national retailers

Job description

We are seeking a Machine Learning Engineer to join the Information Technology organization at our corporate office in Springfield, MO.
The Machine Learning Engineer designs, builds, tests, and optimizes machine learning systems that support enterprise AI initiatives across the business. This role is responsible for developing production-ready model code, inference logic, and reusable ML components that convert approved enterprise data into reliable operational signals, recommendations, automations, or insights.
This position works closely with AI leadership, Data Science, MLOps, Data Engineering, Product/Delivery, Security, Privacy, Store Operations, Merchandising, and other cross-functional partners to implement practical AI solutions. The role must balance model quality, latency, cost, privacy, maintainability, and operational usefulness.
This position requires working onsite in our Springfield, MO headquarters. Occasional travel to field locations may be required.
ESSENTIAL FUNCTIONS:
  • Design, develop, and evaluate machine learning models and inference pipelines for enterprise AI use cases across retail, operations, merchandising, customer experience, supply chain, and corporate functions.
  • Build production-quality Python code for model training, evaluation, preprocessing, postprocessing, inference services, and reusable model components.
  • Partner with Data Scientists to define ground truth datasets, labeling requirements, evaluation metrics, confidence thresholds, and acceptable error tradeoffs.
  • Partner with MLOps / Cloud ML Engineering to package, register, deploy, monitor, and optimize models in cloud, edge, or hybrid environments.
  • Evaluate and select model architectures, pretrained models, fine-tuning approaches, and inference strategies appropriate for the business problem and operating environment.
  • Prepare and transform approved structured and unstructured data for model development while following privacy, retention, and acceptable-use constraints.
  • Build or integrate data labeling, sampling, augmentation, and validation workflows needed for model development and evaluation.
  • Optimize inference performance for latency, cost, throughput, reliability, and deployment target.
  • Implement model output schemas and event metadata structures in partnership with Data Engineering and API/application teams.
  • Integrate model outputs with APIs, event streams, dashboards, reports, applications, or other approved enterprise presentation layers.
  • Write automated tests for model code, preprocessing logic, inference services, schema contracts, and regression checks.
  • Troubleshoot model failures caused by data quality, domain shift, operational changes, drift, or degraded source data.
  • Document model assumptions, limitations, dependencies, reproducibility steps, evaluation results, and production readiness criteria.
  • Support responsible AI practices, including PII minimization, privacy-aware design, model explainability where practical, and secure handling of approved enterprise data.
  • Contribute to architecture decision records, model cards, technical runbooks, documentation, and reusable engineering standards.
  • ALL OTHER DUTIES AS ASSIGNED.

EXPERIENCE/QUALIFICATIONS:
Minimum Degree Required: Bachelor's Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Electrical Engineering, Computer Engineering, Applied Mathematics, or a related technical field, or equivalent experience.
  • 8+ years of experience in software engineering, machine learning engineering, applied AI engineering, or production ML systems.
  • 5+ years of hands-on experience building, training, fine-tuning, or deploying machine learning models in applied business environments.
  • Strong proficiency in Python and modern machine learning frameworks such as PyTorch, TensorFlow, scikit-learn, OpenCV, or equivalent tools.
  • Experience with one or more ML domains such as natural language processing, forecasting, classification, recommendation systems, optimization, anomaly detection, multimodal AI, or generative AI.
  • Experience building production-quality APIs, services, or batch/streaming inference components.
  • Experience with Git, automated testing, code review, containerization, and collaborative engineering practices.
  • Familiarity with model optimization and deployment formats or tooling such as ONNX, TensorRT, OpenVINO, quantization, batching, or similar techniques preferred.
  • Familiarity with Azure Machine Learning, Azure AI services, Databricks, MLflow, or equivalent cloud ML platforms preferred.
  • Familiarity with event-driven architectures, REST APIs, message queues, data lakes, and metadata/event pipelines preferred.
  • Experience with distributed inference, real-time AI systems, high-throughput event processing, or enterprise integration patterns preferred.
  • Experience working with security, privacy, and governance requirements for sensitive operational data preferred.

KNOWLEDGE, SKILLS, AND ABILITY:
  • Strong software engineering fundamentals and ability to build maintainable ML systems beyond notebooks.
  • Strong understanding of the machine learning lifecycle, including data preparation, training, evaluation, deployment, monitoring, and retraining.
  • Strong understanding of model failure modes in real-world environments.
  • Ability to make practical model tradeoffs across accuracy, latency, cost, privacy, reliability, and maintainability.
  • Ability to translate business use cases into technical model requirements without over-scoping the solution.
  • Ability to collaborate effectively with Data Scientists, MLOps Engineers, Data Engineers, platform teams, and business stakeholders.
  • Ability to document model behavior and limitations clearly for both technical and nontechnical audiences.
  • Proficiency with Git-based development workflows and Agile delivery practices.
  • Commitment to responsible and ethical AI development aligned with company standards.

TRAVEL REQUIREMENTS:
Occasional travel, up to 10%, may be required for field observation, technical validation, troubleshooting, or stakeholder workshops.
PHYSICAL REQUIREMENTS:
Regularly completes computer work and sits.
Occasionally walks and stands.
Seldomly or never lifts up to 50lbs.
INDEPENDENT JUDGEMENT:
Performs duties within scope of general company policies, procedures, and objectives. Analyzes problems and performs needs assessments. Uses judgment in adapting broad guidelines to achieve desired result. Regular exercise of independent judgment within accepted practices. Makes recommendations that affect policies, procedures, and practices.
Full Time Benefits Summary:
Enjoy discounts on retail merchandise, our restaurants, world-class resorts and conservation attractions!
  • Medical
  • Dental
  • Vision
  • Health Savings Account
  • Flexible Spending Account
  • Voluntary benefits
  • 401k Retirement Savings
  • Paid holidays
  • Paid vacation
  • Paid sick time
  • Bass Pro Cares Fund
  • And more!

Bass Pro Shops is an equal opportunity employer. Hiring decisions are administered without regard to race, color, creed, religion, sex, pregnancy, sexual orientation, gender identity, age, national origin, ancestry, citizenship status, disability, veteran status, genetic information, or any other basis protected by applicable federal, state or local law.
Reasonable Accommodations
Qualified individuals with known disabilities may be entitled to reasonable accommodation under the Americans with Disabilities Act and certain state or local laws.
If you need a reasonable accommodation for any part of the application process, please visit your nearest location or contact us at
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