Applied AI Engineer
LaddersAbout the role
For our client, we are seeking a Applied AI Engineer to join the team of a leader in the Telecommunications & Hardware space.
This role will focus on designing and deploying applied AI solutions that improve the speed and intelligence of post-silicon validation efforts. You will partner closely with cross-functional engineering teams to identify high-impact use cases, evaluate emerging AI frameworks, and drive practical solutions from prototype through deployment. The work will also involve building the data and measurement systems needed to track impact, improve workflows, and support scalable AI adoption across the organization.
Location: Remote - US based candidates only, no visa sponsorship available
Compensation: $152,000 – $287,500 annually
Responsibilities
Design and deploy AI systems to enable faster, smarter post-silicon validation
Collaborate with cross-functional teams to identify and build AI solutions
Evaluate emerging AI frameworks and adopt relevant technologies
Build data systems to measure AI impact and drive continuous improvement
Architect solutions that enhance workflow efficiency, scalability, and intelligence
Qualifications
BS, MS, or PhD in CS, EE, CE, or a related field with 5+ years of hands-on ML/AI experience
2+ years of experience in applied AI with ownership of AI systems from prototype to deployment
Strong Python skills and proficiency in one static language such as C, C++, C#, Java, or Scala
Experience deploying and monitoring scalable AI/ML models
Solid understanding of EE fundamentals and hardware interaction
Experience in a silicon development environment with chip characterization
Hands-on experience with silicon debugging tools
Benefits
Equity participation in the company’s growth
Access to cutting-edge AI tools and technologies for work
Opportunity to lead innovative AI integration into semiconductor design
Collaborative environment with multi-functional engineering teams
Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.
Responsibilities
- Design and deploy AI systems to enable faster, smarter post-silicon validation
- Collaborate with cross-functional teams to identify and build AI solutions
- Evaluate emerging AI frameworks and adopt relevant technologies
- Build data systems to measure AI impact and drive continuous improvement
- Architect solutions that enhance workflow efficiency, scalability, and intelligence
Qualifications
- BS, MS, or PhD in CS, EE, CE, or a related field with 5+ years of hands-on ML/AI experience
- 2+ years of experience in applied AI with ownership of AI systems from prototype to deployment
- Strong Python skills and proficiency in one static language such as C, C++, C#, Java, or Scala
- Experience deploying and monitoring scalable AI/ML models
- Solid understanding of EE fundamentals and hardware interaction
- Experience in a silicon development environment with chip characterization
- Hands-on experience with silicon debugging tools
Benefits
- Equity participation in the company’s growth
- Access to cutting-edge AI tools and technologies for work
- Opportunity to lead innovative AI integration into semiconductor design
- Collaborative environment with multi-functional engineering teams
Skills mentioned
About Ladders
We lead the leaders. Ladder’s community of 10 mm leading professionals come to us to be inspired, grow in their careers, and get ahead in their professional lives. We focus on the $100K+ job market, representing 25% of all jobs and about 50% of income in the US & Canada. We build data-driven tools, marketplaces, news and entertainment products for our growing audience, and the companies, recruiters, and advertisers that want to reach them. We work best with people who enjoy using their talents, commitment and hard work to achieve great successes for millions of real life users through products that impact their careers. We are deeply technology-driven -- about half the company are engineers, technical product people or product designers -- but we never build technology for technology’s sake. We’re always trying to connect our efforts to the good it can do in people’s lives.
H-1B sponsorship history
Historical employer filing data was found for Ladders. The employer record includes 8 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.