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Internship High Performance Computing Engineer Jobs in Boston, MA

HPR (Hyannis Port Research)

Senior Software Engineer

Needham, MA · On-site

$133K - $175K/yr

Responsibilities : • Utilize your expertise in low-level programming as we advance the state of the art in high performance computing and electronic trading • Provide the necessary guidance and ...

Watershed Informatics

Infrastructure Engineer

Cambridge, MA · On-site

$117K - $154K/yr

Role Infrastructure Engineers at Watershed engineer infrastructure to meet the high-performance computing needs of modern biology. Designing systems that keep pace with the explosive growth in the ...

Watershed Informatics

Infrastructure Engineer

Cambridge, MA · On-site

$117K - $154K/yr

Role Infrastructure Engineers at Watershed engineer infrastructure to meet the high-performance computing needs of modern biology. Designing systems that keep pace with the explosive growth in the ...

Massgeneralbrigham

Infrastructure Engineer

Somerville, MA

$117K - $153K/yr

... High Performance Computing (HPC) systems, Trusted Research Environments (Research Enclaves ... The engineer will work closely with infrastructure teams, researchers, and platform engineers to ...

Mass General Brigham

Infrastructure Engineer

Somerville, MA · On-site

$117K - $153K/yr

... High Performance Computing (HPC) systems, Trusted Research Environments (Research Enclaves ... The engineer will work closely with infrastructure teams, researchers, and platform engineers to ...

NVIDIA

Senior ML Platform Engineer

Westford, MA · On-site

$108K - $149K/yr

NVIDIA is at the forefront of innovations in Artificial Intelligence, High-Performance Computing, and Visualization. They are seeking a Senior ML Platform Engineer to architect, build, and scale high ...

HPR

Software Engineer II

Needham, MA · On-site

$115K - $151K/yr

Utilize your expertise in low-level programming as we advance the state of the art in high performance computing and electronic trading * Provide the necessary guidance and hands-on delivery of the ...

Watershed Informatics

Site Reliability Engineer

Cambridge, MA · On-site

$62.25 - $82.75/hr

Role Linux Systems Engineers at Watershed engineer infrastructure to meet the high-performance computing needs of modern biology. Designing systems that keep pace with the explosive growth in the ...

HPR

Senior Software Engineer

Needham, MA · On-site

$125K - $205K/yr

Utilize your expertise in low-level programming as we advance the state of the art in high performance computing and electronic trading * Provide the necessary guidance and hands-on delivery of the ...

HPR

Senior Software Engineer

Needham, MA · Hybrid

$125K - $205K/yr

Utilize your expertise in low-level programming as we advance the state of the art in high performance computing and electronic trading * Provide the necessary guidance and hands-on delivery of the ...

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All JobsInternship High Performance Computing Engineer JobsInternship High Performance Computing Engineer Jobs in Boston, MA

Internship High Performance Computing Engineer information

See Boston, MA salary details

$12

$65

$106

How much do internship high performance computing engineer jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for internship high performance computing engineer in Boston, MA is $65.30, according to ZipRecruiter salary data. Most workers in this role earn between $53.56 and $73.89 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship High Performance Computing (HPC) Engineer, and why are they important?

To thrive as an Internship High Performance Computing Engineer, you need a solid background in computer science fundamentals, programming (especially in C/C++ or Python), and a familiarity with parallel computing concepts, often supported by coursework or relevant project experience. Experience with Linux environments, HPC clusters, and distributed computing frameworks, as well as tools like MPI, OpenMP, or Slurm, is commonly required. Strong problem-solving skills, attention to detail, and the ability to collaborate effectively within technical teams help interns stand out. These skills ensure you can efficiently support computational research, resolve technical challenges, and contribute meaningfully to HPC projects.

What is the difference between Internship High Performance Computing Engineer vs Internship Data Scientist?

AspectInternship High Performance Computing EngineerInternship Data Scientist
Required SkillsProgramming (C++, Python), parallel computing, HPC systemsStatistics, machine learning, data analysis, Python/R
Work EnvironmentResearch labs, tech companies, academia with focus on HPC systemsTech firms, finance, healthcare, research institutions
Industry UsageHigh-performance computing projects, scientific simulationsData analysis, predictive modeling, business insights

Internship High Performance Computing Engineers focus on developing and optimizing computational systems for large-scale scientific and engineering problems, requiring skills in parallel programming and HPC environments. In contrast, Internship Data Scientists analyze data to extract insights, using statistical and machine learning techniques. Both roles are valuable in tech and research sectors but differ in technical focus and daily tasks.

What is an Internship High Performance Computing Engineer?

An Internship High Performance Computing (HPC) Engineer is a student or early-career professional who works with advanced computing systems designed for processing large data sets and complex calculations at high speeds. During the internship, they assist in developing, optimizing, and maintaining HPC infrastructure, software, or applications used in scientific research, engineering, or data analysis. The role often involves learning about parallel computing, cluster management, and performance tuning, while gaining hands-on experience with cutting-edge technologies. Interns work under the supervision of experienced HPC engineers, contributing to projects that advance computational capabilities in various fields.

What types of projects can I expect to work on as an Internship High Performance Computing Engineer?

As an Internship High Performance Computing (HPC) Engineer, you will typically contribute to projects involving optimization of scientific applications, performance analysis, and cluster management. Interns often assist with benchmarking software, troubleshooting issues in parallel computing environments, and supporting researchers with technical solutions. You'll likely collaborate closely with senior HPC engineers, system administrators, and academic researchers to ensure efficient use of computing resources. This hands-on experience provides valuable insight into real-world challenges faced in HPC environments and helps build a strong foundation for future roles in the field.
What are popular job titles related to Internship High Performance Computing Engineer jobs in Boston, MA? For Internship High Performance Computing Engineer jobs in Boston, MA, the most frequently searched job titles are:
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Internship High Performance Computing Engineer jobs near you
Senior QPU Software Engineer (FPGA)

Senior QPU Software Engineer (FPGA)

QuEra Computing, Inc.

Boston, MA

$141K - $181K/yr

Other

Posted 6 days ago

Job description

Senior FPGA Engineer - Quantum Computing Control Systems
Company Overview
Join QuEra Computing's engineering team to develop cutting-edge FPGA systems for neutral atom quantum computers. You'll work on real-time control systems that manipulate individual atoms with microsecond precision, enabling breakthrough quantum algorithms and applications.
Role Summary
We're seeking a Senior FPGA Engineer to design, implement, and optimize high-performance FPGA systems for quantum computing applications. You'll work on complex real-time control systems, high-speed data acquisition, and precision timing systems that are critical to our quantum computer's operation.
Key Responsibilities
Core FPGA Development
  • Design and implement System Verilog modules for quantum control systems including:
  • Scheduled multitone generators for RF/microwave quantum gates
  • Real-time pulse sequencers for laser control
  • High-speed ADC/DAC interfaces (16-bit, 4 samples/clock)
  • Hardware-accelerated image processing for atom detection
  • Develop and maintain Ulti-board FPGA designs (Xilinx Zynq UltraScale+ RFSoC)
  • Implement high-speed serial interfaces (CoaXPress, Aurora, AXI4-Stream)
  • Design clock domain crossing logic with proper CDC verification
  • Optimize resource utilization and timing closure for complex designs
System Integration & Verification
  • Create comprehensive testbenches using System Verilog and Python (cocotb)
  • Develop simulation models for quantum control peripherals
  • Implement formal verification for critical timing constraints
  • Design and validate real-time trigger and synchronization systems
  • Troubleshoot hardware-software integration issues
Performance & Reliability
  • Optimize data through put for high-bandwidth quantum control signals
  • Implement error detection and recovery mechanisms
  • Design robust clocking architectures for multi-domain systems
  • Develop monitoring and diagnostics for system health
  • Ensure deterministic timing for quantum gate operations
Technical Requirements
Essential Skills
  • 5+ years FPGA development experience with Xilinx UltraScale+ devices
  • Expert-level System Verilog with modern verification methodologies
  • Experience with high-speed serial protocols (Aurora, AXI4, PCIe, Ethernet)
  • Real-time systems design with microsecond timing requirements
  • Digital signal processing implementation in FPGAs
  • Clock domain crossing design and verification
  • Python programming for test automation and data analysis
Preferred Qualifications
  • RF/microwave systems experience (frequency synthesis, phase-locked loops)
  • High-speed ADC/DAC interfaces (JESD204B/C, RFSoC experience)
  • Image processing algorithms (centroid detection, pattern recognition)
  • Formal verification using System Verilog assertions
  • CoaXPress or camera interface experience
  • AWS/cloud development environments
  • Familiar with High Level Synthesis and Vivado block design
Technical Stack
  • FPGA Tools: Vivado 2022.2+, Vitis, PetaLinux
  • Languages: SystemVerilog, Verilog, Python, TCL
  • Verification: UVM, cocotb, pytest, formal verification
  • Protocols: AXI4, AXI4-Stream, Aurora, CoaXPress, SPI, I2C
  • Boards: Xilinx ZCU102/111/216, RFSoC platforms
  • Development: Git, CI/CD, AWS EC2, Linux
Project Examples
You'll work on systems like:
  • Quantum Gate Control: 8-channel RF tone generators with 0.1 Hz frequency resolution
  • Atom Detection: Real-time image processing at 1+ Gbps data rates
  • Precision Timing: Synchronized control sequences with <1 μs jitter
  • Data Acquisition: High-speed capture of quantum measurement results
  • System Integration: Multi-board coordination for scalable quantum computers
What We Offer
  • Cutting-edge technology: Work on the forefront of quantum computing
  • High-impact projects: Your code directly enables quantum algorithms
  • Technical growth: Learn quantum physics while advancing FPGA skills
  • Collaborative environment: Work with physicists, software engineers, and system architects
Success Metrics
  • Design Quality: Clean, well-documented, and maintainable SystemVerilog code
  • Performance: Meeting timing requirements for real-time quantum control
  • Reliability: Robust error handling and system monitoring
  • Innovation: Proposing and implementing improvements to quantum control systems
  • Collaboration: Effective communication with cross-functional teams
Education & Experience
  • Bachelor's/master's in electrical engineering, Computer Engineering, or Physics
  • 5+ years FPGA development with complex, real-time systems
  • Experience with quantum computing, RF systems, or precision instrumentation preferred
  • Strong problem-solving skills and attention to detail
  • Excellent communication skills for technical documentation and team collaboration

Why This Role Matters
Quantum computers represent the next frontier in computing, with potential to revolutionize cryptography, optimization, and scientific simulation. As an FPGA engineer on our team, you'll build the hardware foundation that makes quantum algorithms possible - controlling individual atoms with unprecedented precision to create the quantum states that power breakthrough applications. Your work will directly impact our ability to scale quantum computers and bring quantum advantage to real-world problems. This is an opportunity to shape the future of computing while advancing your technical expertise in cutting-edge FPGA development.
This role offers the unique opportunity to combine advanced FPGA engineering with quantum physics, working on systems that operate at the fundamental limits of precision and timing. If you're passionate about both hardware engineering and quantum computing, this is the perfect role to advance both your technical skills and career.
Salary is 140,000 to 190,000 We consistently monitor external market data and update base salary ranges accordingly. We determine base compensation decisions on several factors, including as geographic placement, role-specific knowledge, skills, and/or experience. In addition to our base salary offerings, we also provide equity grants for all new hires.
#LI-DA1
QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

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