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Chip Design Engineer Jobs in Baltimore, MD (NOW HIRING)

Index Analytics

Senior Data Scientist

Baltimore, MD · On-site +1

$140K - $200K/yr

... CHIP programs. The incumbent will lead the development of analytical solutions, evaluates and ... Design and lead implementation of natural language processing and LLM/RAG projects that allow users ...

Vantor

Lab Manager (TS/SCI)

Annapolis Junction, MD · On-site

... Design, configure, and maintain lab networking environments (physical and virtual) • Build ... reverse engineering or device recovery • Experience with soldering, rework, or chip-off ...

Maxar

Lab Manager (TS/SCI)

Annapolis Junction, MD

  • Medical

  • Retirement

  • PTO

Design, configure, and maintain lab networking environments (physical and virtual) * Build isolated ... engineering or device recovery * Experience with soldering, rework, or chip-off techniques

Precise Systems

Biological Research Scientist

Aberdeen, MD · On-site

$68K - $103K/yr

  • Medical

  • Life

  • Retirement

Through the power of our combined capabilities, we provide deep expertise in Advanced Engineering ... Ability to independently design and execute experiments; demonstrate critical thinking/problem ...

Precise Systems

In-Vitro Toxicologist

Aberdeen, MD · On-site

$76K - $86K/yr

  • Medical

  • Life

  • Retirement

Through the power of our combined capabilities, we provide deep expertise in Advanced Engineering ... Ability to independently design and execute experiments; demonstrate critical thinking/problem ...

Mercury Systems

RF Test Technician V

Columbia, MD · On-site

... multi-chip modules, and RF Modules that operate from DC to 40GHz +. The Technician will complete ... May assist engineers with new design and development activities including prototyping and first ...

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Showing results 41-59

All JobsChip Design Engineer JobsChip Design Engineer Jobs in Baltimore, MD

Chip Design Engineer information

See Baltimore, MD salary details

$40.2K

$87.6K

$157.5K

How much do chip design engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for chip design engineer in Baltimore, MD is $87,589.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,600.00 and $97,900.00 per year, depending on experience, location, and employer.

What is the salary of chip design engineer?

The average salary of a chip design engineer varies by experience and location but typically ranges from $80,000 to $150,000 annually. Senior engineers with specialized skills in VLSI design and FPGA development can earn higher salaries, often exceeding $180,000. Certifications and proficiency in tools like Cadence or Synopsys can also influence compensation.

What are some typical projects or daily tasks for a chip design engineer?

As a Chip Design Engineer, your daily tasks often include designing and simulating integrated circuits, reviewing schematics, writing and verifying code in hardware description languages, and collaborating closely with layout engineers and verification teams. You may also participate in design reviews, troubleshoot potential issues, and optimize chip performance to meet specific requirements. Working with cross-functional teams, including software engineers and product managers, is common to ensure the chip integrates seamlessly with end products. This role provides opportunities to see your designs progress from concept to final manufacturing, offering valuable hands-on experience at each stage of development.

What are the key skills and qualifications needed to thrive as a chip design engineer?

To thrive as a Chip Design Engineer, you need a solid background in electrical engineering, digital and analog circuit design, and experience with VLSI principles, usually backed by a relevant degree. Proficiency with industry-standard tools like Cadence, Synopsys, and experience in HDL languages (such as Verilog or VHDL) is highly valued, as are certifications like Certified IC Designer. Strong problem-solving abilities, attention to detail, and effective teamwork and communication skills help set you apart. These competencies are critical for developing reliable, high-performance chips in a collaborative and deadline-driven environment.

What is a chip design engineer?

A Chip Design Engineer is responsible for designing and developing integrated circuits (ICs) used in electronic devices. They work with hardware description languages (HDLs) like Verilog or VHDL to create digital or analog circuit designs. Their role includes logic design, verification, simulation, and testing to ensure performance and power efficiency. They collaborate with teams across hardware, software, and manufacturing to bring chips from concept to production. Chip Design Engineers are essential in industries like consumer electronics, automotive, and telecommunications.

What does a chip design engineer do?

A chip design engineer develops and designs integrated circuits and microchips used in electronic devices. They use electronic design automation (EDA) tools, create schematics, simulate circuit performance, and collaborate with manufacturing teams to ensure the chips meet specifications and quality standards.

How much do chip design engineers make?

Chip design engineers typically earn a median annual salary ranging from $90,000 to $130,000, depending on experience, location, and industry. Senior engineers with specialized skills in VLSI design or FPGA development can earn higher salaries, often exceeding $150,000 annually.

What are popular job titles related to Chip Design Engineer jobs in Baltimore, MD?

For Chip Design Engineer jobs in Baltimore, MD, the most frequently searched job titles are:

What job categories do people searching Chip Design Engineer jobs in Baltimore, MD look for?

The top searched job categories for Chip Design Engineer jobs in Baltimore, MD are:

Chip Design Engineer jobs near you
Infographic showing various Chip Design Engineer job openings in Baltimore, MD as of August 2026, with employment types broken down into 1% Internship, 88% Full Time, 7% Part Time, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $87,589 per year, or $42.1 per hour.

Senior Data Scientist

Index Analytics

Baltimore, MD • On-site, Remote

$140K - $200K/yr

Other

Re-posted 7 days ago

Job description

Index Analytics, LLC, is a rapidly growing, Baltimore-based small business providing health-related consulting services to the federal government. At the center of our company culture is a commitment to instilling a dynamic and employee-friendly place to work. We place a priority on promoting a supportive and collegial team environment and enhancing staff experience through career development and educational opportunities.
Position Overview
The Senior Data Scientist applies advanced analytics, statistical modeling, machine learning, and emerging artificial intelligence technologies to address complex healthcare and policy challenges. This role combines deep technical expertise with healthcare domain knowledge to transform complex data into actionable insights, support evidence-based decision-making, and drive innovation across Medicaid and CHIP programs.
The incumbent will lead the development of analytical solutions, evaluates and implements advanced technologies including NLP and LLM/RAG frameworks, and collaborates with stakeholders to design scalable, data-driven products that improve program oversight, operational performance, and health outcomes.
Responsibilities
  • Formulate research, support development of solutions and recommendations for building value added products and solutions enhancing the current business operations and policy for Medicaid and CHIP programs.
  • Lead evaluations of advanced technologies to identify best fits for business problems. Includes assessments of effectiveness, efficiency, security, cost, and other dimensions of candidate technologies.
  • Design and lead implementation of natural language processing and LLM/RAG projects that allow users to derive insights from unstructured text data in multiple platforms.
  • Perform routine business analysis and independent research using various techniques (e.g. statistical analysis, explanatory and predictive modeling, data mining), provide business data interpretation on Medicaid data sets to include beneficiary eligibility and enrollment, claims, expenditures, program oversight, scorecards, utilization metrics, performance data and more.
  • Develop information and technical architecture, set up models, evaluate performance, modify parameters; help set technical standards.
  • Work with variety of Stakeholders to identify analytical requirements and produce ad hoc data and reports that visualize data using industry best practices for HCD and UX.
  • Conduct qualitative design research and exploratory data analysis to recommend solutions to meet new policy initiatives and enhance overall program oversight and performance.
  • Work in an agile environment with a team of data analysts and scientists.
  • Develop technical documentation and deliverables (presentation slides, reports, draft manuscripts) with high quality and relevant viewpoints.
  • Communicate findings to clients and scientific audiences, through both oral presentations; able to translate complex nuances to others.
  • Build predictive models, data visualizations, and tools for analysis.

  • U.S. Citizen or authorized to work in the United States and have resided in the U.S. for at least three of the past five years. Must be eligible to obtain a federal government client badge and successfully pass a Public Trust background investigation.
  • Master's degree and a minimum of 10 years of professional experience, including at least 6 years of information technology experience, or an equivalent combination of education and experience. Four years of specialized experience may be substituted for a master's degree.
  • Minimum of 4 years of experience conducting complex data analysis and applying data visualization techniques to support data-driven decision-making, program administration, policy development, program oversight, and continuous performance improvement initiatives.
  • Demonstrated experience performing data analysis and research across Medicaid and CHIP domains, including Eligibility and Enrollment Performance Indicator data, T-MSIS Analytic Files (TAF), Behavioral Health, expenditures, Form CMS-416 reporting, and health outcomes analysis. Experience supporting the Centers for Medicare & Medicaid Services (CMS) or other federal or state government agencies is preferred.
  • Expert-level proficiency in Python programming, including experience developing, reviewing, testing, and maintaining analytical code using commonly used data science, machine learning, and statistical libraries.
  • Hands-on experience designing, developing, and implementing solutions utilizing Natural Language Processing (NLP), Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) technologies.
  • Experience using source code management and DevOps tools, including GitHub and CI/CD platforms such as Jenkins, to manage code repositories, automated testing, and deployment pipelines.
  • Subject matter expertise in text analytics, information extraction, document intelligence, and analysis of unstructured data.
  • Strong foundation in statistical methods and analytical techniques, including probability distributions, hypothesis testing, regression analysis, predictive modeling, and other quantitative research methodologies.
  • Excellent written, verbal, and presentation communication skills, with the ability to translate complex technical and analytical concepts for business, policy, and executive audiences.
  • Experience developing interactive data visualizations and dashboards using tools such as Tableau, Power BI, AWS QuickSight, or similar platforms is preferred.
  • Experience with enterprise knowledge management and search platforms such as Guru and Glean is preferred.
  • Experience leveraging Databricks AI and machine learning capabilities, including generative AI offerings, is preferred.

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