About this opportunity:
Deploying neural networks on real-time or embedded hardware (FPGA/ASIC) today often means doing manual RTL translation, wiring up weight memories, and tuning parallelism to fit DSP budgets - work that can take days to weeks per model. Existing HLS tools (e.g., Vitis HLS, Intel HLS) focus on C/C++ rather than trained checkpoints, and neural network compilers (e.g., TVM, ONNX Runtime) target software runtimes instead of parameterized RTL for different FPGA targets.
This thesis closes the power-efficiency and productivity gap by creating an automated tool chain that converts PyTorch/AI models into synthesizable RTL for FPGA/ASIC. You will build on an existing foundation codebase to broaden model and layer support and deliver an end-to-end flow from model to hardware. You will work at the intersection of AI, digital design, and EDA tooling; deliver real hardware acceleration results with measurable impact; collaborate with experienced researchers and hardware engineers; and contribute to a tool that can drastically reduce time-to-hardware.
What you will do:
- Develop a tool chain that takes PyTorch models - trained (.pth/.pt) or untrained (.py) - and automatically generates:
- A complete, synthesizable SystemVerilog implementation
- A synthesis planning report
- An RTL hierarchy file
- A ready-to-build FPGA/ASIC project
- Investigate and compare current research on AI-to-RTL conversion methods
- Understand our approach and improve its underlying theories
- Continue developing the tool chain from the base code to support as many models and layer types as possible
- Use the tool chain to convert a real model and deploy it on an FPGA to test function and performance
- Conclude with a result presentation for the Ericsson Research team
The skills you bring:
- Master's studies in Electrical Engineering, Computer Science, Computer Engineering, or similar
- Background in AI models and RTL code development
- Familiarity with PyTorch, digital design (SystemVerilog/Verilog/VHDL), and FPGA tool flows (e.g., Xilinx/AMD, Intel) is meriting
- Understanding of HLS, compilers, or hardware/software co-design is a plus
Why join Ericsson?At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
Primary country and city: Sweden (SE) || Stockholm
Req ID: 790478
Skills Required
- Currently pursuing a Master's degree in Electrical Engineering, Computer Science, Computer Engineering, or a similar field
- Background in AI models
- Background in RTL code development
- Familiarity with PyTorch
- Familiarity with digital design, including SystemVerilog, Verilog, or VHDL
- Familiarity with FPGA tool flows, such as Xilinx AMD or Intel
- Understanding of HLS, compilers, or hardware software co-design
Ericsson Compensation & Benefits Highlights
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Healthcare Strength — U.S. job postings describe multiple medical plan options (including PPO and HSA‑eligible HDHP) plus dental and vision, aligning with a comprehensive medical suite. Corporate materials also emphasize wellbeing resources and EAP support.
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Retirement Support — Company communications and U.S. materials reference market‑competitive retirement benefits, including a 401(k) with automatic employer contributions and additional matching. Investor and benefits materials signal a structured approach to total rewards that includes long‑term savings programs.
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Parental & Family Support — U.S. and EWS guides and postings highlight paid maternity and parental/adoption leave at full pay, alongside structured short‑term disability at full pay for defined weeks by tenure. These programs are positioned as part of a family‑friendly, work‑life‑balance offering.
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What We Do
Ericsson builds the digital connectivity the world relies on. Our technology underpins the mobile networks, platforms, and systems that billions of people, businesses, and societies depend on every day. We are a global leader in communications technology, delivering mobile network infrastructure, cloud software, and wireless connectivity solutions for service providers and enterprises worldwide. Our networks support connectivity across 180+ countries, helping power everyday communication as well as critical digital services at global scale. Connectivity has evolved far beyond consumer mobile use. Today, nearly 80% of the world’s population accesses the internet via mobile networks, and Ericsson is helping shape what comes next. We are advancing 5G and 5G Advanced, developing network APIs that open connectivity to the global developer ecosystem, and applying automation and AI to make networks more intelligent, efficient, and resilient. Ericsson was the first company to launch live 5G networks on five continents, and our 5G platform is now commercially live in 150+ networks across 60+ countries. We also support more than 36,000 enterprise customers, enabling secure, high-performance connectivity for industries such as manufacturing, aviation, logistics, utilities, and public safety, where reliability and performance are mission critical. Innovation is central to how we work. Ericsson has approximately 28,000 employees in research and development, backed by one of the strongest intellectual property portfolios in the industry with 60,000+ granted patents. Our engineers, researchers, and technologists work across 100+ global R&D sites, helping define how networks evolve and how digital infrastructure is built for the long term. As the world moves toward a mobile-first, AI-powered, and cloud-driven future, connectivity becomes the foundation for digital transformation across every industry. Ericsson is building that foundation, shaping the future of digital connectivity through technology that operates at global scale and supports real-world impact, today and for what comes next.
Why Work With Us
Ericsson is a place for people who want to work on technology that powers everyday life. You’ll contribute to large-scale systems used every day, tackle complex challenges in live environments, and keep developing your skills and career in your own vision.
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