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Robotics Solutions Architect - Intern

Altera
Posted 11 days ago, valid for 4 minutes
Location

San Jose, CA 95103, US

Salary

$105,000 - $110,000 per year

Contract type

Full Time

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Sonic Summary

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  • Altera is seeking a Robotics Solutions Architect-Intern to define robotics system architectures and evaluate hardware-software strategies focused on FPGA acceleration.
  • The position requires a PhD student in Robotics, Electrical Engineering, Computer Engineering, Computer Science, or a related field, with experience in FPGA design, embedded systems, or robotics middleware.
  • The role involves collaboration with cross-functional teams to align architectural decisions and support customer-facing demos and technical presentations.
  • The salary for this internship ranges from $105,000 to $110,000 USD, depending on various factors such as knowledge and experience.
  • Candidates should have a strong foundation in robotics systems and proficiency in programming languages like C/C++ or Python.

Job Details:

Job Description:

Join Altera as a Robotics Solutions Architect-Intern!

Key Responsibilities
 

Robotics Solutions Architecture

  • Define end‑to‑end robotics system architectures spanning sensors, compute, control, communication, and actuation.

  • Evaluate hardware‑software partitioning strategies with a focus on FPGA acceleration.

  • Design scalable, modular architectures for real‑time robotic systems.

 

FPGA & Hardware Acceleration

  • Identify robotics workloads suitable for FPGA acceleration (e.g., perception pipelines, sensor fusion, control loops, AI inference).

  • Collaborate with FPGA engineers to map algorithms onto RTL, HLS, or FPGA SoC platforms.

  • Analyze latency, throughput, determinism, and power trade‑offs.

 

Research & Innovation

  • Translate research concepts into practical, deployable architectures.

  • Conduct performance benchmarking and comparative evaluations against CPU/GPU implementations.

  • Contribute to internal white papers, or technical blogs.

 

Cross‑Functional Collaboration

  • Work with software, silicon, and product teams to align architectural decisions with business and platform roadmaps.

  • Support customer‑facing demos, proofs‑of‑concept, and technical presentations when needed.

 

The pay range below is for Bay Area California only. Actual salary may vary based on a number of factors including job location, job-related knowledge, skills, experiences, trainings, etc. We also offer incentive opportunities that reward employees based on individual and company performance.  

 

$105-110K USD 

 

We use artificial intelligence to screen, assess, or select applicants for the position. Applicants must be eligible for any required U.S. export authorizations.

Qualifications:

Required Qualifications

  • Currently pursuing a PhD in Robotics, Electrical Engineering, Computer Engineering, Computer Science, or a related field.

  • Strong foundation in robotics systems, including perception, control, or autonomy.

  • Good understanding of digital hardware concepts (FPGA, SoC, embedded systems).

  • Experience with at least one of the following:

    • FPGA design (Verilog/VHDL, HLS)

    • Embedded systems (ARM, real‑time OS)

    • Robotics middleware (ROS/ROS 2)

    • Proficiency in C/C++, Python, or similar languages.

Preferred Qualifications

  • Hands‑on experience with FPGA platforms

  • Familiarity with real‑time systems, low‑latency design, or safety‑critical robotics.

  • Exposure to AI/ML acceleration at the edge.

  • Publication record in robotics, embedded systems, or hardware acceleration.

  • Ability to translate complex technical concepts into clear architectural narratives.

Job Type:

Student / Intern (Fixed Term)

Shift:

Shift 1 (United States of America)

Primary Location:

San Jose, California, United States

Additional Locations:

Posting Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.



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