Software Engineer II, Annapurna Labs ML Acceleration System Software

Amazon Web Services (AWS)

Cupertino (CA)

In loco

USD 150.000 - 190.000

Tempo pieno

14 giorni+
Generatore di candidature

Distinguiti per questa posizione — genera un curriculum e una lettera di presentazione personalizzati in circa un minuto.

Supera i filtri ATS

Vantaggi offerti da questo lavoro

Health insurance
401(k) matching
Paid time off
Parental leave
Restricted stock units
Sign-on payments
Mental health support
Adoption and surrogacy reimbursement

Descrizione del lavoro

Amazon Web Services (AWS) in Cupertino develops and maintains software for initializing, monitoring, and testing machine learning acceleration servers. You will collaborate with hardware and manufacturing teams to enable rapid deployment and system‑level integration.

The role requires at least 3 years of software development and 2 years in system design, with proficiency in C, C++, or Python and a solid understanding of hardware interfaces.

Competenze

  • Minimum 3 years of professional software development experience.
  • Minimum 2 years of system design or architecture experience.
  • Proficiency in C, C++, or Python; strong hardware–software interfaces understanding.

Mansioni

  • Develop and maintain software for initializing, monitoring, and testing ML acceleration servers.
  • Collaborate with hardware and manufacturing teams to enable rapid deployment and system‑level integration.

Conoscenze

C
C++
Python
Lua
System software
Device drivers
I2C
PCIe
SPI
Machine learning acceleration
Automation
Debugging
Software testing
Hardware integration
System architecture

Descrizione del lavoro

You will develop and maintain software for initializing, monitoring, and testing machine learning acceleration servers. This involves collaborating with hardware and manufacturing teams to enable rapid deployment and system-level integration.

Requirements

Candidates must have at least 3 years of professional software development experience and 2 years of system design or architecture experience. Proficiency in programming languages like C, C++, or Python is required, along with a strong understanding of hardware-software interfaces.

Key Skills
  • C
  • C++
  • Python
  • Lua
  • System software
  • Device drivers
  • I2C
  • PCIe
  • SPI
  • Machine learning acceleration
  • Automation
  • Debugging
  • Software testing
  • Hardware integration
  • System architecture
Benefits
  • Health insurance
  • 401(k) matching
  • Paid time off
  • Parental leave
  • Restricted stock units
  • Sign-on payments
  • Mental health support
  • Adoption and surrogacy reimbursement
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