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Manager Merck Engineering Jobs (NOW HIRING)

Merck Group

Project Manager

Allentown, PA · On-site

As a Project Manager in the Electronics Engineering Project Development team, you will lead the front-end development of capital projects starting from idea scoping through conceptual design and ...

Merck Group

Project Engineer

Saint Louis, MO · On-site

$81K - $121K/yr

Provide project management and engineering on small to medium capital projects from initiation through start-up and closure documentation using project management models. * Develop project ...

Merck Group

Engineer 3

Bedford, MA · On-site

$84K - $127K/yr

Demonstrate strong time management and teamwork, balancing lab and desk work, and seeking/delegating help as needed. Who You Are Minimum Qualifications: * Bachelor's Degree in Chemical Engineering ...

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Manager Merck Engineering information

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$46.5K

$146.9K

$174K

How much do manager merck engineering jobs pay per year?

As of Jun 21, 2026, the average yearly pay for manager merck engineering in the United States is $146,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What are the salary ranges at Merck?

The salary range for a Manager in Merck Engineering typically varies based on experience, location, and specific responsibilities, but generally falls between $90,000 and $150,000 annually. Compensation may also include bonuses, benefits, and stock options, depending on the level and performance. Industry standards suggest that engineering managers at large pharmaceutical companies like Merck are compensated competitively within this range.

Is it hard to get a job at Merck?

Securing a Manager position in Merck Engineering typically requires relevant experience, technical skills, and a strong educational background. The hiring process can be competitive, often involving multiple interview rounds and assessments of leadership and technical competencies.

How much does a Merck engineer make?

A Merck engineer's salary varies based on experience, location, and specific engineering discipline, but the average salary typically ranges from $80,000 to $120,000 annually. Engineers at Merck often hold degrees in engineering or related fields and may require specialized certifications or skills depending on their role.

What engineers make $500,000?

Senior engineers in specialized fields such as software, petroleum, or aerospace engineering can reach or exceed a $500,000 annual salary, especially with experience, advanced skills, and leadership roles. High compensation often involves bonuses, stock options, or profit sharing, particularly in large corporations or high-demand industries.
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Manager Merck Engineering jobs near you

Software Engineer II (AI Focus)

Parsec Automation Corp.

Anaheim, CA • On-site, Remote

$145K - $165K/yr

Full-time

Medical, Retirement, PTO

Posted 28 days ago

Job description

About Parsec

Parsec Automation, LLC is a global leader in manufacturing operations management software. Recognized by Gartner, IDC, and numerous industry awards, Parsec's flagship MES platform, TrakSYS™, powers efficiency, quality, and compliance improvements at over 11,000 plants across 140+ countries. Manufacturers such as Johnson & Johnson, Merck, Toyota, Procter & Gamble, Hershey, Siemens, and DuPont rely on TrakSYS to manage complex operations with clarity and precision.

Parsec is backed by BVP Forge, part of the $20B Bessemer platform, known for supporting category-defining companies such as LinkedIn, Procore, Shopify, and Toast. 

About the Role

We're looking for a Software Engineer II (AI Focus) to help build and expand AI capabilities within our core platform.

This role is hands-on and focused on implementing production-ready AI features, including agent-based workflows and integrations with LLM providers. You'll work within a Microsoft-based, on-prem environment and contribute to building AI functionality that is secure, scalable, and reliable in real-world manufacturing settings.

You'll partner with senior engineers and product teams to deliver AI-powered features, while continuing to grow your experience in modern AI systems and enterprise software development.

Key Responsibilities

Quality, Security & Reliability

  • Follow secure development best practices, including least privilege and data protection
  • Implement validation, error handling, and safe access patterns
  • Contribute to logging, monitoring, and observability for AI features
  • Support testing efforts including:
  • Unit and integration testing
  • Validation of AI and tool interactions

Team Collaboration & Growth

  • Work closely with senior engineers to implement AI features aligned to product requirements
  • Participate in code reviews, design discussions, and team collaboration
  • Assist with troubleshooting and support for AI-related functionality
  • Continue developing skills in AI technologies, the TrakSYS™ platform, and manufacturing systems

AI Development & Implementation

  • Build AI capabilities within a Microsoft-based stack (ASP.NET, .NET services, SQL Server)
  • Implement agentic workflows, including agent runtimes and orchestration logic
  • Develop services that manage:
  • Conversation and task state
  • Tool execution and routing
  • Retries, timeouts, and execution limits
  • Integrate with LLM providers (OpenAI, Anthropic, etc.), including tool/function calling patterns
  • Contribute to building and maintaining tool integrations, including:
  • SQL Server queries and stored procedures
  • Internal APIs and services
  • File/report generation systems

Required Qualifications

  • 3–5+ years of software development experience
  • Experience with .NET (C#, ASP.NET)
  • Familiarity with API design and integration (REST, JSON, etc.)
  • Experience with SQL Server or similar relational databases
  • Understanding of software development best practices (testing, debugging, version control)
  • Exposure to agentic AI systems, MCP, or similar tool/plugin frameworks
  • Experience integrating with LLM APIs or working with AI/ML-powered features
  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience

Preferred Qualifications

  • Familiarity with Azure OpenAI or other LLM platforms
  • Experience with Semantic Kernel or similar frameworks
  • Experience working in enterprise or on-prem environments
  • Exposure to manufacturing or MES systems

Benefits

  • $145,000 to $165,000 annual salary
  • Variable Bonus based on company and individual performance 
  • Hybrid work schedule (3 days in office / 2 days remote)
  • 401(k) with company match
  • 100% company-paid health insurance premiums for employees 
  • Flexible vacation / PTO
  • Flexible Spending Account (FSA) plan available for eligible healthcare and dependent care expenses 
  • Outstanding team environment