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Hybrid Engineer Jobs (NOW HIRING)

... hybrid engineer bridging satellite subsystems expertise (power, comm, GNC, flight dynamics, thermal) and Ground System expertise with modern software engineering. The position builds, automates, and ...

Senior Principal SpaceOps Tool Developer

Suitland, MD · Hybrid

$135K - $186K/yr

... hybrid engineer bridging satellite subsystems expertise (power, comm, GNC, flight dynamics, thermal), overall system level experience in satellite operations with modern software engineering. The ...

Senior Principal SpaceOps Tool Developer

Suitland, MD · Hybrid

$135K - $186K/yr

... hybrid engineer bridging satellite subsystems expertise (power, comm, GNC, flight dynamics, thermal), overall system level experience in satellite operations with modern software engineering. The ...

Hybrid Cloud Engineer

Washington, DC · On-site

$63 - $84.25/hr

Hybrid Cloud Engineer Location: Washington, DC (2-3 days onsite for first 90 days, then possibly more remote) Duration: Fulltime / Permanent Job Summary: Our Client is seeking a Hybrid Cloud Engineer ...

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Senior Principal SpaceOps Tool Developer

Suitland, MD · Hybrid

$135K - $186K/yr

... hybrid engineer bridging satellite subsystems expertise (power, comm, GNC, flight dynamics, thermal), overall system level experience in satellite operations with modern software engineering. The ...

Senior Principal SpaceOps Tool Developer

Suitland, MD · Hybrid

$135K - $186K/yr

... hybrid engineer bridging satellite subsystems expertise (power, comm, GNC, flight dynamics, thermal), overall system level experience in satellite operations with modern software engineering. The ...

Hybrid Product Engineer Benefits - Starting Salary targeting $170K - $235K+ - Bonuses - Asymmetric upside potential - Dynamic work environment - Growth Opportunities - Remote flexibility Hybrid ...

Facilities Engineer Company Name: Silverman & Light Location: San Antonio Office Project Focus ... Hybrid (Remote Mondays/Fridays; Choice of 5-day week or 4.5-day week) Salary: $130,000 ...

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Showing results 1-20

Hybrid Engineer information

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$39K

$101.8K

$137.5K

How much do hybrid engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for hybrid engineer in the United States is $101,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $116,500.00 per year, depending on experience, location, and employer.

What engineers make $200,000 a year?

Senior engineers in fields such as software, electrical, and aerospace engineering often earn $200,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. Roles involving specialized expertise, leadership, or working in competitive markets tend to have higher compensation levels.

What engineers make $300,000 a year?

Senior engineers in fields such as software, electrical, and aerospace engineering can earn $300,000 or more annually, especially with extensive experience, specialized skills, and leadership roles. High-paying positions often require advanced certifications, expertise in high-demand technologies, and sometimes work in management or executive capacities.

How do Hybrid Engineers typically balance software and hardware responsibilities in their daily work?

Hybrid Engineers often split their time between designing, developing, and testing both software and hardware components. A typical day might involve writing embedded code, troubleshooting hardware prototypes, and collaborating closely with cross-functional teams such as electrical engineers, firmware developers, and product managers. Successfully balancing these responsibilities requires strong organizational skills and the ability to quickly switch contexts. Team meetings and regular project updates help ensure alignment and smooth integration between hardware and software systems.

What engineers make $500,000 a year?

Highly experienced engineers in specialized fields such as software engineering, data engineering, or systems architecture can earn $500,000 or more annually, especially in senior or executive roles at large technology companies. These roles often require advanced skills, certifications, and extensive industry experience, and may include bonuses and stock options that significantly increase total compensation.

What is a hybrid engineer?

A hybrid engineer is a professional who designs, develops, and maintains systems that combine multiple technologies, such as mechanical and electrical components or software and hardware. They often work in industries like automotive, aerospace, or renewable energy, requiring knowledge of various engineering disciplines and proficiency with tools like CAD software and simulation programs.

What are the key skills and qualifications needed to thrive as a Hybrid Engineer, and why are they important?

To thrive as a Hybrid Engineer, you need a solid understanding of both hardware and software engineering principles, typically supported by a degree in electrical, mechanical, or computer engineering. Familiarity with CAD software, embedded systems, and programming languages such as C/C++ or Python is often required, along with relevant certifications like Six Sigma or PMP. Strong problem-solving skills, adaptability, and effective communication are essential soft skills for bridging multidisciplinary teams and tackling complex projects. These skills and qualities are vital for integrating diverse technologies and ensuring innovative, reliable solutions in hybrid engineering environments.

What is the difference between Hybrid Engineer vs Mechanical Engineer?

AspectHybrid EngineerMechanical Engineer
Required CredentialsBachelor's in Engineering, certifications in systems integration or electrical engineeringBachelor's in Mechanical Engineering, possibly Professional Engineer (PE) license
Work EnvironmentTechnology firms, manufacturing, energy sectors, often interdisciplinary teamsManufacturing, automotive, aerospace, design studios
Industry UsageEmerging fields like IoT, renewable energy, automationTraditional manufacturing, product design, machinery

Hybrid Engineers focus on integrating multiple engineering disciplines, often combining electrical, software, and mechanical skills for complex systems. Mechanical Engineers primarily design and analyze mechanical systems. While both roles require engineering degrees, Hybrid Engineers typically work in interdisciplinary environments, whereas Mechanical Engineers focus on mechanical design and manufacturing processes.

More about Hybrid Engineer jobs
What cities are hiring for Hybrid Engineer jobs? Cities with the most Hybrid Engineer job openings:
What states have the most Hybrid Engineer jobs? States with the most job openings for Hybrid Engineer jobs include:
Infographic showing various Hybrid Engineer job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $101,752 per year, or $48.9 per hour.
AI/ML Engineer (Senior Associate) - Remote

AI/ML Engineer (Senior Associate) - Remote

Huron Consulting Group

Chicago, IL • On-site, Remote

$130K - $160K/yr

Full-time

Medical, Dental, Vision

Re-posted 5 days ago


Huron Consulting Group rating

7.2

Company rating: 7.2 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

43rd of 58 rated business consultants


Job description

Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future.
Join our team as the expert you are now and create your future.
We are looking for a hands-on and adaptable AI/ML Engineer to join our AI practice. You'll help design, build, and deploy intelligent systems that leverage a range of technologies-from machine learning to generative AI and agent-based architectures-to solve complex, real-world problems.
This role spans the full AI solution lifecycle: data preparation, model development, application integration, and ongoing evaluation. You will collaborate closely with architects, and domain experts to ensure the AI solutions you help build are intelligent, reliable, and aligned with client goals.
We work across industries and use cases, from early-stage prototypes to production-ready deployments, and we're continuously exploring new AI paradigms-including AI agents, agent orchestration layer, model chaining, and self-evaluating systems. If you're excited by emerging AI technologies, fast-moving teams, and applied problem-solving, this is the role for you.
Key Responsibilities
  • Design and develop AI-powered systems using both traditional ML and generative AI techniques, including prompt engineering, fine-tuning, and embeddings
  • Build intelligent applications and agents that can perform tasks autonomously or interactively, using frameworks like LangGraph, AutoGen, CrewAI or similar
  • Create modular, well-documented APIs and service components (e.g., using FastAPI or Flask) to enable model integration and consumption
  • Develop and manage data pipelines, including data collection, transformation, and quality assurance to support model training
  • Implement observability and evaluation mechanisms to monitor AI system behavior, including accuracy, drift, reliability, and task-level reasoning
  • Collaborate with software engineers, data scientists, and solution architects to ensure seamless design, development, and transition to production
  • Support rapid experimentation as well as robust deployment pipelines, depending on the maturity of each use case
  • Stay informed on the latest trends in GenAI, AI agents, orchestration protocols, and evaluation frameworks to continuously evolve our capabilities
  • Support project management tasks, including planning, tracking deliverables, coordinating cross-functional teams, and ensuring alignment with client timelines and objectives
  • Assist in preparing status reports, managing stakeholder communications, and identifying risks or issues in project execution

Required Qualifications
  • 3+ years of hands-on experience in AI/ML development or intelligent application engineering
  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field
  • Experience in Python
  • Familiarity with modern ML/AI libraries (e.g., scikit-learn, PyTorch, TensorFlow, OpenAI APIs)
  • Familiarity with cloud platforms (Azure, AWS) and containerization tools (Docker)

Preferred Qualifications
  • 5+ years of hands-on experience in AI/ML development or intelligent application engineering
  • Proficiency in Python
  • Strong familiarity with modern ML/AI libraries (e.g., scikit-learn, PyTorch, TensorFlow, OpenAI APIs)
  • Experience building APIs or backend services using FastAPI, Flask, or equivalent frameworks
  • Exposure to agent frameworks (e.g., LangGraph, AutoGen) and vector databases
  • Strong Familiarity with cloud platforms (Azure, AWS) and containerization tools (Docker)
  • Familiarity with cloud-based ML platforms such as Azure Machine Learning, AWS SageMaker, or Google AI/ML services
  • Experience with MLOps pipelines, CI/CD for model delivery, or model monitoring is a plus
  • Familiarity with orchestration standards or tools such as MCP or agent routing protocols is a plus
  • Knowledge of AI system evaluation, observability, or prompt performance testing is a plus
  • Ability to work on cross-functional teams, balance multiple projects, and communicate effectively with technical and non-technical audiences
  • Cloud certifications in AI/ML services (Azure, AWS, or Google Cloud) is a plus
  • Experience managing technical projects or performing hybrid engineer/PM roles, with strong organizational and communication skills
  • Ability to balance hands-on development with project coordination, ensuring both technical quality and timely delivery

Flexible living locations across US, ability to travel as needed.
The estimated base salary for this job is $130,000 - $160,000 USD. The range represents a good faith estimate of the range that Huron reasonably expects to pay for this job at the time of the job posting. The actual salary paid to an individual will vary based on multiple factors, including but not limited to specific skills or certifications, years of experience, market changes, and required travel. This job is also eligible to participate in Huron's annual incentive compensation program, which reflects Huron's pay for performance philosophy. Inclusive of annual incentive compensation opportunity, the total estimated compensation range for this job is $145,600 - $188,800 USD. The job is also eligible to participate in Huron's benefit plans which include medical, dental and vision coverage and other wellness programs. The salary range information provided is in accordance with applicable state and local laws regarding salary transparency that are currently in effect and may be implemented in the future.
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Position Level
Senior Associate
Country
United States of America

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About Huron Consulting Group

Sourced by ZipRecruiter

Huron Consulting Group, based in Chicago, IL, US, is a leading global management consulting firm specialized in providing performance improvement and reformation skills to different types of organizations. The company operates in the management consulting industry, which includes strategy, operations, technology, and analytics. Founded in 2002, Huron Consulting Group aids entities to tackle complex business challenges, enhance their ability to drive change, encourage their efficiency, and stimulate innovation. The company's overriding mission is to assist clients in becoming more successful.

Industry

Business management consulting

Company size

1,001 - 5,000 Employees

Headquarters location

Chicago, IL, US

Year founded

2002