PhD Engineering Internship 2027

Riverlane; Boston (MA); On-site; USD 63,000 - 90,000; Full time

Benefits offered by this job

Free snacks and refreshments

Regular social events

Disability accommodations

Job summary

Riverlane is seeking an engineering intern for our Cambridge, Massachusetts office to help advance practical quantum error correction. You will explore the classical computing architectures needed to support scalable QEC and work at the intersection of quantum error correction, computer architecture and hardware-software co-design.

As an intern, you will contribute to research projects, develop algorithms and simulations, and collaborate with researchers and engineers across QEC theory,

Qualifications

• PhD candidate in CS/CE/EE/Physics or related field.
• Research experience in computer architecture or quantum-classical systems.
• Experience with Python, C, or C++.
• Authorized to work in the United States for the duration of the internship.

Responsibilities

• Contribute to a research project on classical systems for scalable QEC.
• Investigate methods to reduce compute, memory, latency for QEC.
• Develop algorithms, simulations, or architectural models.
• Collaborate with researchers across QEC theory, decoding, software and hardware.
• Produce reproducible research code and documentation.
• Communicate findings through talks and reports.

Skills

Python

C/C++

Research experience

Analytical skills

Education

PhD candidate in CS/CE/EE/Physics

Tools

RTL/SystemVerilog

FPGA/ASIC workflows

Job description

Salary: $55.70 per hour, DOE

About us

Riverlane’s mission is to master quantum error correction (QEC) and unlock a new age of human progress. From advances in materials and climate science to complex chemistry simulation for new drug design, quantum computers will help humanity solve some of its most important challenges. But without QEC, the industry’s defining technical challenge, such breakthroughs can never be achieved.
Riverlane is the world leader in QEC technology. QEC is a complex problem that requires a range of skills, talent, and passion.

Having raised more than $125M in funding to date to accelerate our cutting-edge R&D in quantum error correction (QEC), Riverlane partners with many of the world’s leading quantum hardware providers and government agencies to make fault-tolerant quantum computing a reality. We’re making remarkable progress and growing fast.

About the role

Delivering practical quantum error correction requires tightly integrated quantum and classical systems. Decoding algorithms must process large volumes of error data within demanding latency, bandwidth, compute and power constraints.

As an engineering Intern, you will investigate the classical computing architectures needed to support scalable, fault-tolerant quantum computers. Your project will sit at the intersection of quantum error correction, computer architecture and hardware-software co-design.

Depending on the project, you could explore efficient QEC decoding or predecoding methods, model the classical resources required by fault-tolerant quantum programs, or investigate how decoding workloads can be distributed across different levels of a computing system.

You will work alongside Riverlane’s researchers and engineers in Cambridge, Massachusetts, with support from a dedicated supervisor. Your work will contribute to our understanding of how QEC systems can meet the performance requirements of increasingly large quantum computers.

What you will do

• Contribute to a research project focused on the classical systems and architectures required for scalable quantum error correction
• Investigate methods for reducing the compute, communication, memory, latency or power requirements associated with QEC
• Develop algorithms, simulations or architectural models to evaluate potential approaches
• Explore trade-offs between decoding performance, logical error suppression and classical resource requirements
• Consider how QEC workloads could be implemented across software, FPGA, ASIC or other computing architectures
• Collaborate with researchers and engineers working across QEC theory, decoding, software and hardware
• Analyse results and communicate your findings through technical discussions, presentations and written reports
• Produce clear, reproducible research code and supporting documentation

What we need

• You must be currently pursuing a PhD in Computer Science, Computer Engineering, Electrical Engineering, Physics, Mathematics or another related technical field
• Research experience in at least one of the following areas:
• Computer architecture or quantum-classical systems
• Decoding algorithms or error-correcting codes
• FPGA, ASIC or digital hardware design
• Experience developing computational models, simulations or research software
• Proficiency in Python, C, C++ or another relevant programming language
• A strong understanding of computer systems and architecture
• Excellent analytical and problem-solving skills
• The ability to communicate complex technical ideas clearly
• The ability to take initiative and work effectively with researchers and engineers from different disciplines
• Authorisation to work in the United States for the duration of the internship
• You have experience researching quantum LDPC or surface codes
• You are familiar with QEC decoding or predecoding techniques
• You have explored the classical resource requirements of fault-tolerant quantum computing
• You have experience with hardware-software or compiler-hardware co-design
• You have worked with RTL, SystemVerilog, FPGA or ASIC development workflows
• You understand the latency, bandwidth or power constraints affecting quantum control and decoding systems
• You have experience with scientific computing, quantum circuit simulation or QEC simulation tools
• You have contributed to academic publications, open-source software or collaborative research projects
• You must be legally authorized to work in the United States for the duration of the internship
• If you intend to work under Curricular Practical Training (CPT), Optional Practical Training (OPT) or another form of student employment authorization, you are responsible for obtaining the necessary approval before your start date
• Any offer of employment will be contingent upon verification of your identity and authorization to work in the United States, as required by law
• You must be available to work full-time for 10 to 12 weeks
• You will be required to sign an agreement assigning ownership of intellectual property produced during your internship to Riverlane
• This internship is based at our US office in Cambridge, Massachusetts

Deadline

Please submit your application by November 6 th , 2026

Pay and Expenses

We will reimburse reasonable expenses incurred as part of your role, such as approved travel to meetings or conferences. We are unable to cover the cost of travelling to Cambridge, Massachusetts at the beginning or end of the internship or accommodation during the internship.

What you can expect from us

You can expect a diverse and collaborative working environment that brings together experts in software and hardware development, quantum information theory, physics, mathematics and other technical fields. Our global team represents more than 20 nationalities.

We also provide free snacks and refreshments and organize regular social and cultural events.

If you have any questions, please contact [e-mail].

Riverlane is an equal opportunity employer. We welcome qualified applicants and consider them for employment without regard to race, color, religion, creed, sex, pregnancy, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable federal, state or local law.

We know that strong candidates may not meet every requirement listed. If you are interested in the opportunity and believe your experience could be relevant, we encourage you to apply.

Riverlane provides reasonable accommodations to applicants with disabilities. If you require an accommodation during the application or interview process, please let us know. We will be happy to help.