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Robotics Software Engineer Jobs in Baltimore, MD

INFT Solutions Inc

AI/ML Software Engineer

Annapolis, MD · Hybrid

AI/ML Software Engineer-K23-0094-25L-17 Location- Annapolis, MD Position Overview We are seeking an ... Develop AI-powered RPA workflows * Automate reporting pipelines * Improve manual operational tasks ...

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Robotics Software Engineer information

See Baltimore, MD salary details

$59.6K

$123.7K

$177.9K

How much do robotics software engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for robotics software engineer in Baltimore, MD is $123,731.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,300.00 and $151,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Robotics Software Engineer, you need a strong background in computer science, robotics, and mathematics, often supported by a relevant degree and experience in algorithm development. Proficiency with programming languages like C++, Python, and ROS (Robot Operating System), as well as familiarity with simulation tools and version control systems, is essential. Problem-solving ability, teamwork, and effective communication are crucial soft skills for collaborating on complex projects and adapting to evolving technologies. These skills and qualities are vital for designing, implementing, and maintaining reliable robotic systems that perform effectively in real-world environments.

What Does a Robotics Software Engineer Do?

The job duties of a robotics software engineer are working to develop software for robot control and automation. In this job, your responsibilities include working on an embedded system that controls automated equipment. You may build new software or test, improve, or debug current software. Most robotics software engineers work for the manufacturing industry and focus on robots that companies use in product production. You may work in other fields that use robotics as well. This job may include responsibilities such as developing a user interface that non-technical employees can use to set up the equipment.

What is the difference between Robotics Software Engineer vs Mechatronics Engineer?

AspectRobotics Software EngineerMechatronics Engineer
Required CredentialsBachelor's in Robotics, Computer Science, or related field; programming skillsBachelor's in Mechatronics, Mechanical, or Electrical Engineering; multidisciplinary knowledge
Work EnvironmentSoftware development teams, robotics labs, research facilitiesDesign, integrate mechanical and electronic systems, often in manufacturing or automation
Employer & Industry UsageTech companies, robotics firms, research institutionsManufacturing, automation, aerospace, automotive industries

While both roles involve robotics, a Robotics Software Engineer primarily focuses on developing software for robotic systems, whereas a Mechatronics Engineer designs and integrates mechanical, electronic, and software components. The roles often overlap but differ in their core focus areas and skill sets.

What are some common challenges faced by Robotics Software Engineers when integrating software with hardware systems?

Robotics Software Engineers often encounter challenges related to ensuring seamless communication between software algorithms and physical hardware components. These can include dealing with sensor noise, managing real-time constraints, debugging hardware-software mismatches, and ensuring reliable performance in unpredictable environments. Close collaboration with electrical and mechanical engineers is essential to quickly resolve integration issues and to test software on physical robots. Adapting to rapid hardware changes and troubleshooting in live environments require strong problem-solving skills and effective cross-disciplinary teamwork.

What does a Robotics Software Engineer do?

A Robotics Software Engineer designs, develops, and maintains the software that controls and powers robots. This includes writing code for robot perception, control algorithms, and integration with hardware components. They work closely with hardware engineers to ensure seamless interaction between the robot's physical and digital systems. Their work often involves programming in languages such as C++, Python, or ROS (Robot Operating System) and testing robots in real-world or simulated environments.
More about Robotics Software Engineer jobs
What are the most commonly searched types of Robotics Software Engineer jobs in Baltimore, MD? The most popular types of Robotics Software Engineer jobs in Baltimore, MD are:
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What cities near Baltimore, MD are hiring for Robotics Software Engineer jobs? Cities near Baltimore, MD with the most Robotics Software Engineer job openings:
Robotics Software Engineer jobs near you
Infographic showing various Robotics Software Engineer job openings in Baltimore, MD as of July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $123,731 per year, or $59.5 per hour.

AI/ML Software Engineer

INFT Solutions Inc

Annapolis, MD • Hybrid

Contractor

Re-posted 24 days ago

Job description

Job Title: AI/ML Software Engineer-K23-0094-25L-17

Location- Annapolis, MD

Position Overview

We are seeking an experienced AI/ML Software Engineer to design, develop, and deploy intelligent software systems that leverage Artificial Intelligence (AI) and Machine Learning (ML) to automate business processes, improve user experiences, and support data-driven operations.

The ideal candidate will possess strong expertise in Python development, LLM integration, retrieval-augmented generation (RAG), chatbot development, workflow automation, and AI model deployment within a hybrid cloud environment.

This role supports the creation of production-grade AI systems including:

  • Internal AI assistants
  • External chatbots
  • Intelligent automation workflows
  • Knowledge retrieval systems
  • Translation and transcription engines
  • Redaction tools
  • Document analysis and generation platforms

Key Responsibilities

1. AI/ML Solution Design

  • Design and develop AI-enabled applications to automate narrowly defined tasks.
  • Architect solutions using LLMs, embeddings, and vector search.
  • Select optimal AI and non-AI approaches based on business needs.
  • Collaborate with stakeholders to define workflows and system architecture.

2. Chatbot & Agent Development

  • Build and improve internal AI chatbots for employee support.
  • Develop external conversational bots for public-facing services.
  • Implement agent-based systems for:
    • Knowledge retrieval
    • Research
    • Document generation
    • Data extraction

3. RAG & Knowledge Retrieval

  • Build retrieval-augmented generation (RAG) systems.
  • Improve vector search relevance using:
    • embeddings
    • reranking
    • graph retrieval
  • Integrate knowledge retrieval with case management systems.

4. Workflow Automation

  • Develop AI-powered RPA workflows
  • Automate reporting pipelines
  • Improve manual operational tasks using AI agents

5. NLP & Document Intelligence

  • Build systems for:
    • Translation
    • Transcription
    • Redaction
    • Document analysis
    • PDF generation
  • Apply NLP techniques for extracting structured data from unstructured documents.

6. Testing & Evaluation

  • Build evaluation pipelines for AI workflows.
  • Develop:
    • Unit tests
    • Integration tests
    • Synthetic datasets
  • Improve:
    • Accuracy
    • Latency
    • Cost efficiency

7. Deployment & DevOps

  • Deploy AI applications in hybrid cloud environments
  • Manage Docker containers
  • Optimize performance in limited GPU environments
  • Support production deployments and updates

Required Qualifications

  • Bachelor’s degree in:
    • Computer Science
    • Data Science
    • Engineering
    • Mathematics
    • Related discipline
  • Minimum 3 years of AI/ML or data science experience
  • Minimum 3 years of software engineering experience

Required Technical Skills

  • Python
  • SQL / PostgreSQL
  • Docker
  • Git
  • REST APIs
  • Vector Databases
  • Embeddings
  • RAG Pipelines
  • Prompt Engineering
  • LLM Deployment

Preferred Skills

  • Neo4j / Graph databases
  • Fine-tuning LLMs
  • Synthetic data generation
  • Hybrid cloud architecture
  • React
  • Microsoft Teams Toolkit
  • Rust or performance-oriented languages

Soft Skills

  • Strong problem solving
  • Systems thinking
  • Collaboration
  • Technical documentation
  • Agile teamwork
  • Ability to work in constrained environments

Work Environment

  • Remote with occasional onsite support
  • Standard business hours (EST)
  • Hybrid cloud infrastructure
  • Cross-functional collaboration