Qualcomm ASIC Systems Engineer focus Power Modelling Cambridge UK 

United Kingdom, England, Cambridge 

321971145

Job Area:

Engineering Group, Engineering Group > Systems Engineering

Responsibilities

• Work with cross-functional teams, including design, implementation, and physical design teams, to deliver high performance and low-power designs.

• Identify key power use cases and work with verification team to create and simulate power consumption tests.

• Analyze and estimate power for the key use cases using PowerArtist and PrimeTime PX (PTPX) and work with cross-functional teams to optimize power.

• Develop power estimates and establish power budgets at the project outset, and work with design teams throughout the project cycle to optimize and keep power on-target. Track and deliver power data to other cross-functional teams.

• Build power models based on pre-silicon power data and validate against post-silicon measurements.

• Propose, enhance and maintain power analysis, optimization and modeling methodologies and flows.

Minimum Qualifications:

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience.

Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Systems Engineering or related work experience.

PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.

Required Experience

• Must have extensive hands-on experience in power analysis, estimation, and optimization using industry standard tools such as PTPX and PowerArtist.

• Knowledge and experience with high performance and low-power ASIC/SoC designs.

• Strong knowledge in low-power, high performance ASIC/SoC design flows (micro-architecture, RTL design, verification, synthesis, timing/STA, UPF, CLP, LEC formal verification, DFT, physical design).

• Hands-on experience in writing scripts for automation and data analysis (shell, Perl, Tcl, Python, etc.).

• Knowledge and experience in data analysis and data science is a plus but not essential (Pandas, Numpy, etc.).

• Bachelor's degree in Electronic Engineering, Computer Science, Computer Engineering, or related field.

What's on Offer

Apart from working in an open, relaxed and collaborative space, you will enjoy:

• Salary, stock and performance related bonus

• Employee stock purchase scheme

• Pension scheme

• Life, Medical, Income and Travel Insurance

• Enhanced Maternity Leave

• Enhanced Paternity Leave

• Menopause Support

• Education Assistance

• Employee Assistance Programme

• Voluntary Health Checks

• Global Wellbeing Days

• Subsidised gym membership

• Bicycle purchase scheme

• Employee run clubs, including, running, football, chess, badminton + many more

*References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.