Inclusively is partnering with an electronic design automation company to hire a Staff AI Engineer. **Please note: this role is NOT an internal position with Inclusively but with the partner company.**

ABOUT INCLUSIVELY

Inclusively is a digital tech platform that empowers job seekers with disabilities, caregivers, and veterans by using Success Enablers–accommodations and personalized workplace modifications that help all job seekers reach their full potential and excel. This includes all disabilities under the ADA, including mental health conditions (e.g. anxiety, depression, PTSD), chronic illnesses (e.g. diabetes, Long COVID), and neurodivergence (e.g. autism, ADHD).

Create your profile, select Success Enablers, and connect to jobs from our partnered employers who are committed to creating diverse and inclusive teams. When registering, you must acknowledge that this platform is for people with disabilities, caregivers, and veterans. However, Inclusively does not require candidates to disclose their specific disability to join the platform.

We Are:

We drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.

You Are:

You are a dynamic and passionate software engineer who thrives in collaborative, cross-functional environments. Your expertise in developing robust, scalable, and performance-critical software is matched by your desire to work on impactful projects that enable the next generation of semiconductor technology. You have a strong foundation in Go and Python, with a proven track record of building and maintaining complex workflows and subsystems. You value continuous learning, enjoy tackling challenging problems, and are adept at diagnosing and resolving complexities in large, multi-component codebases. You’re comfortable navigating ambiguity, aligning with multiple stakeholders, and balancing priorities to deliver high-quality solutions. Your communication skills enable you to bridge gaps between engineering teams, and your attention to detail ensures the integrity and maintainability of the software you deliver. You are excited by the opportunity to contribute to global innovation, engage with cutting-edge hardware-assisted verification platforms, and grow alongside some of the brightest minds in the industry. You believe in the power of automation, efficiency, and excellence, and you are ready to make a significant impact within a world-class organization.

What You Will Be Doing:

• Contribute to the development of scalable, distributed systems running in Kubernetes-based environments
• Design and implement comprehensive test strategies, including unit, integration, system, and end-to-end testing for platform primitives, frameworks, and SDKs that enable other engineering teams to build AI-powered solutions
• Participate in code reviews and architecture discussions with a strong focus on quality, reliability, and edge cases
• Ensure platform services meet enterprise standards for scalability, reliability, security, and observability
• Rapidly prototype solutions, validate designs through demos, and deliver production-ready systems
• Develop and manage reusable QA agent skills and tools

The Impact You Will Have:

• Revolutionize the product development lifecycle by integrating advanced technologies
• Enhance the scalability and modularity of platform solutions, promoting reuse and integration
• Drive the adoption of modern software architecture best practices across the organization
• Streamline CI/CD pipelines, significantly improving efficiency and reliability
• Embed AI and machine learning capabilities to create smarter, more predictive workflows
• Ensure robust and secure infrastructure while maintaining compliance with industry standards

What You Will Need:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
• A minimum of five years of experience in software development
• Strong development experience in Go (highly preferred) and Python
• Deep understanding of distributed computing, the CAP theorem, and system design trade-offs
• Proven expertise in cloud computing services (AWS, Azure, GCP) and container technologies (Docker, Kubernetes)
• Linux Foundation certifications such as CKAD, CKS, and/or CKA (highly preferred)
• Experience with Generative AI, along with working knowledge of GPUs, models, inference serving, and LLM gateways, is highly desirable
• Familiarity with AI and machine learning frameworks and tools, along with a strong interest in staying current with emerging innovations
• Experience working with CI/CD pipelines and modern software delivery ecosystems (GitHub Actions, Azure DevOps, Harness.io, GitLab CI, etc.)
• Excellent problem-solving, organizational, and leadership skills
• Strong communication skills to effectively collaborate with internal teams and stakeholders

Salary Range $138000-$207000 Annually