About the Role
As Principal AI Hardware Architect, you will own the technical contract between AI workload demands, software system capabilities, and custom silicon delivery. This high-leverage role involves analyzing workloads, translating them into hardware requirements, and ensuring silicon programs succeed by proving feasibility before tape-out. Your decisions will directly shape hardware, guide compute investments, and define memory hierarchies.
Responsibilities
- Translate workload-specific test cases for real-world applications (LLMs, multimodal systems, signal processing, inference engines) into concrete hardware requirements.
- Act as a bridge between model engineering, AI infrastructure, and silicon architecture teams to ensure hardware investments are architecturally sound and software-accessible.
- Develop and utilize analytical, simulation, and cycle-approximate performance models to shape architecture, guide compute investments, and inform memory hierarchy decisions.
- Profile real workloads on current and future platforms to identify bottlenecks in memory, compute, scheduling, and architecture, feeding findings into hardware and software cycles.
- Translate technical concepts across hardware architects, AI researchers, and infrastructure teams, grounding product decisions in workload analysis, constraints, and execution paths.
Requirements
- 12+ years of industry experience across AI, systems, or silicon.
- Proven experience at the intersection of hardware and intelligent compute systems.
- Hardware/software co-design leadership across full product cycles.
- Demonstrated performance modeling expertise (analytical, simulation, or cycle-approximate).
- Track record of influencing architectural and product decisions across multiple technical organizations.
- Exceptional written communication and technical specification ability.
- Strong Python and C++ skills.
- Experience with custom silicon, accelerators, or advanced hardware platforms (preferred).
- Prior involvement in ISA definition, memory hierarchy design, or accelerator roadmap decisions (preferred).
Skills
- AI/ML Systems Depth (inference systems, quantization strategies, deployment constraints, silicon utilization)
- Silicon Architecture Fluency (processor, accelerator, custom silicon architectures, compute pipelines, memory hierarchies, on-chip interconnects, performance tradeoff analysis)
- Python
- C++
Location
- Austin, TX
- USA
Work Type
- Full-time
Experience Level
- 12+ years of industry experience
Salary/Compensations
- Salary range is dependent on various factors including, but not limited to, location, and the candidate’s combination of job-related knowledge, qualifications, skills, education, training, and experience.
Benefits
- Choice of three medical plan options
- Dental plan option
- Company credits towards medical and dental premiums
- 401(k) Plan with automatic 3% company contribution
- Company match for 401(k) contributions (dollar for dollar on first 3%, 50 cents on next 2%)
- Company credits for basic life insurance and basic accidental death and dismemberment coverage
- Company credits for short-term and long-term disability coverage
- Optional participation in Stock Purchase Plan
- Minimum of 15 days of accrued vacation
- Up to 3 personal days per year
- 11 annual holidays
- 8 hours of volunteer time
- 80 hours of sick time annually
- Up to 16 weeks of paid maternity leave
- 6 weeks of parental or adoption leave at 100% pay
- Financial wellness programs
- Educational assistance
- Matching gifts
- Recognition programs
About the Company
- Ericsson uses a merit-based hiring approach that values people with different experiences, perspectives and skillsets.
- Ericsson believes a diverse approach drives innovation, which is essential for future growth.
- Ericsson is proud to be an Equal Opportunity employer.
Equal Opportunity
- Ericsson is proud to be an Equal Opportunity employer, learn more.
- Ericsson uses a merit-based hiring approach that values people with different experiences, perspectives and skillsets.
- We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team.
