SoC Modeling Engineer

WHO WE ARE:

Communication, Media & Technology within Accenture Technology is a department where we implement projects for our business partners in Poland, Europe and the US mainly in the areas of telecommunications and social media. We have a team on board consisting of people with different profiles, such as software developers, business and systems analysts and data engineers/scientists.

THE WORK:

• Design and implement SoC models using discrete event simulation techniques.
• Analyze and optimize SoC architectures
• Utilize tools like Gem5 or SimPy to simulate components and data flows within SoCs.
• Validate model correctness and performance through tests and experiments.
• Document modeling processes and simulation results.
• Collaborate with hardware and software engineering teams to integrate simulation insights into the design process.

Flexible: The work location for this role may include a mix of working remotely, onsite at a client or in an Accenture office - depending on specific project circumstances.

With all our roles, there is some in-person time for collaboration, learning and building relationships with clients, peers, leaders, and communities. As an employer, we will be as flexible as possible to support your specific work/life needs.

WHAT’S IN IT FOR YOU?

Your work will directly contribute to developing cutting-edge SoCs that power next-generation Generative AI technologies, enabling innovative applications in machine learning and artificial intelligence.

If you are passionate about modeling, have expertise in SoC architecture, and are proficient in Python or C++, become part of our team dedicated to the design and optimization of advanced Systems on Chip (SoC).

• Permanent employment contract or B2B.
• Individual support of a People Lead and a specific path of professional development, as well as the possibility of a session with a Coach.
• A wide training package (soft, technical, and language training offer, access to the e-learning platforms, Gallup test, GenAI training, possibility of co-financing courses, and certification).
• Employee Assistance Program - legal, financial, and psychological consultations.
• Accenture employees eligible for the Employee share purchase plan automatically become eligible for quarterly dividends if they own company shares.
• Paid employee referral program.
• Private medical care, life insurance.
• Access to the MyBenefit platform (possibility of using a wide range of products and services, including the Multisport card).

WHAT WE BELIEVE:

Accenture does not discriminate employment candidates on the basis of race, religion, color, sex, age, disability, national origin, political beliefs, trade union membership, ethnicity, denomination, sexual orientation or any other basis impermissible under Polish law. All our leaders are committed to building a better, stronger and more durable company for future generations to create positive, long-lasting change. Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and creative, which helps us better serve our clients and our communities.

Our position as partner to many of the world’s leading businesses, organizations and governments affords us both an extraordinary opportunity and a tremendous responsibility to make a difference. Sustainability is one of our greatest responsibilities, which we embed it into everything we do and for everyone we work with.

HERE’S WHAT YOU’LL NEED:

• Strong Discrete/Dynamic Event Simulator experience: Expertise in using simulation tools and techniques to model and analyze system behavior.
• Strong Python experience: Proficiency in Python programming, including data structures, algorithms, and libraries relevant to simulation.
• Python generator experience (SimPy preferred): Familiarity with Python libraries or frameworks for building and managing simulations, with a preference for SimPy.
• Basic understanding of SOC architecture: Knowledge of System-on-Chip (SoC) design principles and components.

BONUS POINTS IF YOU HAVE:

• Basic AI/ML Accelerator understanding: Familiarity with hardware accelerators for AI and machine learning workloads.
• Good understanding of specialized processors: Knowledge of custom processors or accelerators designed for specific applications.
• Worked with heavy performance data: Experience in handling and analyzing large datasets related to performance metrics and system behavior.