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Performance Improvement Engineer - Remote

Posted 43 weeks ago
Software Development
Full Time
Worldwide

Overview

In this role, you will be responsible for delivering performance improvements throughout the lower levels of Signaloid's technology stack. Your contributions will range from interfacing with custom silicon and FPGA accelerators, to delivering algorithmic improvements to the higher-level software layers of the stack.

In Short

  • Deliver performance improvements in Signaloid's technology stack.
  • Interface with custom silicon and FPGA accelerators.
  • Deliver algorithmic improvements to software layers.
  • Work closely with the leadership team on technology strategy.
  • Propose and lead new technology initiatives.
  • Contribute to various opportunities within Signaloid.
  • Self-motivated with technical leadership experience.
  • Strong communication skills with empathy.
  • Ability to take initiatives and understand constraints.
  • Work as an individual contributor in hardware and software.

Requirements

  • Proven track record in engineering implementations.
  • Experience with FPGA and custom silicon.
  • Strong algorithmic skills.
  • Ability to communicate clearly and concisely.
  • Self-motivated and able to take initiatives.
  • Experience in both hardware and software engineering.
  • Ability to work closely with leadership.
  • Experience in technology strategy development.
  • Willingness to explore new opportunities.
  • Empathy in communication.

Benefits

  • Opportunity to work with a talented team.
  • Contribute to innovative technology initiatives.
  • Flexible working environment.
  • Potential for career growth within the company.
  • Engagement in cutting-edge technology.
  • Work on impactful projects in uncertainty quantification.
  • Access to a cloud-based computing platform.
  • Collaboration with experienced professionals.
  • Opportunity to lead technology initiatives.
  • Supportive work culture.
Signaloid logo

Signaloid

Signaloid is an innovative computing platform that specializes in dynamically tracking data uncertainties throughout computational workloads. By utilizing deterministic computations on in-processor representations of probability distributions, Signaloid significantly accelerates computing tasks traditionally reliant on Monte Carlo methods, offering substantial speed and cost advantages. Their cloud-based computing engine allows users to execute tasks via a task execution API, while also providing on-premises and edge-hardware solutions for customers preferring to leverage existing infrastructure. The platform is particularly effective for applications in finance and engineering, enabling rapid uncertainty quantification. Signaloid's team comprises experienced engineers from prestigious institutions, fostering a collaborative and respectful work environment that emphasizes technical leadership and innovation.

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