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Idea Tooling Engineering Jobs (NOW HIRING)

Company Description It started with a simple idea: what if surgery could be less invasive and ... This role supports development and refinement of manufacturing processes, fixtures, tooling, and ...

Engineering Manager

New York, NY · On-site

$200K - $258K/yr

... idea from prompt to fully-functional, scalable app across web, iOS, and Android. With over 6 ... Experience with developer tooling - build systems, bundlers, testing frameworks, package managers ...

Manufacturing Engineering Intern

San Diego, CA · On-site

$17.75 - $23/hr

Designs, procures, and fabricates simple tooling and fixtures. * Generate and modify manufacturing ... Identifies areas for improvement, suggests solutions, and submits idea records. * Additional duties ...

Senior Data Engineer

Palo Alto, CA · On-site

$124K - $169K/yr

... idea: selling should be as easy as buying. The Role A senior, hands-on data engineering role on the ... You'll design, build, and run production pipelines on modern GCP tooling, not just write code for ...

Company Description It started with a simple idea: what if surgery could be less invasive and ... This role supports development and refinement of manufacturing processes, fixtures, tooling, and ...

Company Description It started with a simple idea: what if surgery could be less invasive and ... This role supports development and refinement of manufacturing processes, fixtures, tooling, and ...

Company Description It started with a simple idea: what if surgery could be less invasive and ... This role supports development and refinement of manufacturing processes, fixtures, tooling, and ...

Company Description It started with a simple idea: what if surgery could be less invasive and ... This role supports development and refinement of manufacturing processes, fixtures, tooling, and ...

Company Description It started with a simple idea: what if surgery could be less invasive and ... This role supports development and refinement of manufacturing processes, fixtures, tooling, and ...

Showing results 41-60

Idea Tooling Engineering information

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$54K

$110K

$163.5K

How much do idea tooling engineering jobs pay per year?

As of Sep 14, 2026, the average yearly pay for idea tooling engineering in the United States is $109,987.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $123,000.00 per year, depending on experience, location, and employer.

What is idea tooling engineering?

Idea Tooling Engineering is a specialized field focused on designing, developing, and maintaining the tools, molds, and equipment required to transform innovative product concepts into manufacturable prototypes and final products. Professionals in this role bridge the gap between product design and mass production by creating effective tooling solutions that ensure efficiency, quality, and cost-effectiveness. Their work involves close collaboration with product designers, manufacturing engineers, and production teams to optimize the tooling process for new ideas.

How does an idea tooling engineer typically collaborate with product development and manufacturing teams during the design process?

Idea Tooling Engineers play a crucial role in bridging the gap between product concepts and practical manufacturing solutions. They work closely with product development teams to assess design feasibility, suggest modifications for manufacturability, and select appropriate tooling methods. Regular collaboration with manufacturing teams ensures that tooling designs align with production capabilities and quality standards. This role often involves frequent meetings, iterative prototyping, and troubleshooting to ensure smooth transitions from design to production, making strong communication and problem-solving skills essential.

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

To thrive as an Idea Tooling Engineer, you need a solid background in mechanical or manufacturing engineering, proficiency in CAD software, and experience with tool design and fabrication processes. Familiarity with industry-standard tools like SolidWorks, AutoCAD, and knowledge of materials and production systems is typically required, along with relevant certifications such as Six Sigma or Lean Manufacturing. Creative problem-solving, strong communication, and attention to detail are vital soft skills in this role. These competencies enable engineers to develop innovative, efficient tooling solutions that drive quality and productivity in manufacturing environments.

What is the difference between Idea Tooling Engineering vs Mechanical Design Engineering?

AspectIdea Tooling EngineeringMechanical Design Engineering
Primary FocusDesign and development of tooling and manufacturing equipmentDesign of mechanical components and systems for products
Required SkillsTooling design, manufacturing processes, CAD softwareMechanical analysis, CAD, product development
Work EnvironmentManufacturing plants, tooling workshopsDesign offices, R&D labs
Industry UsageAutomotive, aerospace, industrial manufacturingConsumer products, machinery, automotive

Idea Tooling Engineering focuses on creating tools and equipment to facilitate manufacturing, while Mechanical Design Engineering emphasizes designing mechanical parts and systems for products. Both roles require CAD skills and engineering knowledge but serve different stages of the product development process.

What are popular job titles related to Idea Tooling Engineering jobs?

For Idea Tooling Engineering jobs, the most frequently searched job titles are:

Senior Software Engineer, Tooling

Remote

Crosslake Technologies LLC
Business Management Consulting • 51 - 200 employees

$125K - $165K/yr

Full-time

Re-posted 15 days ago


Job description

(This role is US based remote and all candidates must be able to work in the US now and in the future without restriction)
What we believe
Technology is no longer just an enabler of business strategy. It is the business strategy. And with AI reshaping how companies operate, compete and grow - while rapidly accelerating the pace of change - the stakes have never been higher.
Our role
We're focused on helping private equity investors and portfolio company leaders drive value creation through technology. In a world where investors deploy trillions annually into software and tech-enabled businesses, we're the team that makes sure the underlying technology actually delivers.
Our approach
The expert judgment of our experienced practitioners is complemented by proven frameworks, tech-enabled solutions, and objective data to help organizations navigate critical technology decisions across diligence, transformation, growth, cybersecurity, AI, and operational execution.
What we value
Everything we do is grounded in five core values: Service. Curiosity. Credibility. Commitment. Creativity.
If you're energized by solving complex technology challenges and helping others succeed in critical moments, you'll fit right in.
Job Role
We're building small, highly capable engineering pods (2-3 engineers) that own problems end-to-end and move quickly from idea to production. This role is for engineers who are comfortable operating across the full stack and using modern AI-enabled workflows to accelerate delivery.
This role is part of our Tooling team, focused on rapidly building lightweight internal tools that improve how Crosslake teams work. These tools are typically narrow in scope and designed to be created, tested, and deployed quickly. The emphasis is on speed, usefulness, and iteration over long-term productization.
You'll be expected to design, build, and ship software with minimal handoffs-working across frontend, backend, and infrastructure as needed. This role prioritizes speed and iteration, with a focus on delivering immediate value.
How we work
  • Small teams, high ownership, minimal handoffs
  • Fast, iterative delivery over heavy process
  • Pragmatic decision-making over over-engineering
  • Engineers are expected to operate across the stack, not within silos
  • Many tools are short-lived or heavily iterated-impact matters more than longevity

Key Responsibilities
  • 7+ years of software engineering experience
  • Strong full-stack capability (frontend, backend, and cloud infrastructure)
  • Comfortable stepping into an architectural role when needed
  • Experience deploying and operating applications in cloud environments (AWS, Azure, or GCP)
  • Solid understanding of the full SDLC
  • Deep experience with (i.e., daily usage of) AI coding tools

Requirements
  • Design and build small, high-impact full-stack tools from concept to deployment
  • Own the full SDLC: design, development, testing, deployment, and iteration
  • Work within a small pod to deliver quickly with a high degree of autonomy
  • Rapidly prototype and validate solutions with internal stakeholders
  • Integrate with third-party tools, APIs, and internal systems
  • Make pragmatic technical decisions appropriate for fast-moving tools
  • Use AI tools to accelerate development, testing, and code quality
  • Continuously refine, replace, or retire tools based on usage and feedback

AI-Native Development
  • Hands-on experience using AI-assisted development tools beyond basic code generation
  • Ability to leverage AI across the workflow (e.g., prototyping, debugging, test generation, QA, code review, security analysis)
  • Experience combining AI with automation/orchestration to streamline workflows and reduce manual effort
  • Familiarity with modern AI-enabled development environments and practices

Preferred Experience
  • Infrastructure as Code (e.g., Terraform)
  • CI/CD and modern DevOps practices
  • Experience with workflow automation/orchestration tools (e.g., n8n, Zapier, Temporal, Airflow)
  • Experience integrating SaaS tools and APIs (Slack, Notion, Jira, etc.)
  • Comfort building lightweight internal UIs (dashboards, admin panels, etc.)
  • Experience with one or more of the following languages: Python, TypeScript, Golang, Rust
  • Basic understanding of data engineering principles

What success looks like
  • You ramp quickly and start contributing within weeks
  • You identify inefficiencies and ship tools to address them
  • You deliver simple solutions that meaningfully improve team productivity
  • You avoid overbuilding and focus on practical outcomes
  • You effectively use AI tools to increase speed and output

Crosslake Technologies