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Industrial Automation, Digitalization, Energy, Healthcare, Mobility, Software

Software Engineer, Performance & Optimization - US Remote

Texas, United StatesRemoteFull Time$109,800–$197,700 /yrPosted 2 months agoVisa sponsorship available

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Role summary

Siemens is seeking a Software Engineer specializing in Performance & Optimization for their US Remote team. This role focuses on ensuring the efficiency and scalability of large enterprise applications by analyzing resource consumption, identifying performance bottlenecks (CPU, GPU, memory), and debugging complex issues. The engineer will leverage APM tools like Datadog, Dynatrace, or New Relic, and possess domain knowledge in ECAD/MCAD applications, particularly Siemens NX and Xpedition. Proficiency in C, C++, Java, and JavaScript is required, along with a solid understanding of infrastructure concepts and the SDLC. The position offers a flexible work environment and competitive compensation.

We are a leading global software company dedicated to the world of computer aided design, 3D modeling and simulation— helping innovative global manufacturers design better products, faster! With the resources of a large company, and the energy of a software start-up, we have fun together while creating a world class software portfolio. Our culture encourages creativity, welcomes fresh thinking, and focuses on growth, so our people, our business, and our customers can achieve their full potential.

About the Role at Siemens:

Are you a skilled Software Engineer with a passion for optimizing performance and unraveling complex system behaviors? We're on the lookout for a talented individual to join our team at Siemens and play a pivotal role in ensuring the efficiency and scalability of our very large enterprise applications. In this position, you will dive deep into the architecture and execution of our software, exploring the intersection of architecture and infrastructure, and identifying and resolving performance bottlenecks to deliver a seamless user experience for our global customers and internal stakeholders. If you thrive on challenges, possess a keen analytical mind, and love to see applications run at their peak within an innovative, industry-leading environment like Siemens, we'd love to hear from you!

Key Responsibilities:

  • Performance Analysis: Analyze and understand the resource consumption and performance characteristics of large-scale enterprise applications.
  • Bottleneck Identification: Investigate and pinpoint performance bottlenecks related to machine-level and infrastructure resources, including GPU, CPU, and memory, within our complex software ecosystem.
  • Problem Solving & Debugging: Proactively diagnose and debug complex performance issues, implementing effective solutions to optimize application efficiency and reliability for Siemens' products and services.
  • SDLC Integration: Apply a strong understanding of the Software Development Life Cycle (SDLC) to influence application design and development for optimal runtime execution, aligning with Siemens' engineering standards.
  • Monitoring & Telemetry: Utilize monitoring and telemetry tools to gather insights, track performance metrics, and identify areas for improvement.

Impact You'll Make:

By meticulously identifying and eliminating performance bottlenecks, you will directly contribute to freeing up valuable computational resources. This optimization will not only enhance the user experience for our diverse customer base but also lead to significant savings in operational costs, reduce infrastructure strain, and accelerate development cycles, ultimately driving greater efficiency and innovation across the company.

Required Skills & Experience:

  • Experience: 5+ years of hands-on experience troubleshooting and optimizing performance in large enterprise applications, with a proven track record of implementing process automation for build and test procedures.
  • Domain Knowledge: Demonstrated experience with desktop ECAD and MCAD applications, particularly Siemens NX and Xpedition, with a focus on performance optimization and workflow efficiency improvements. Familiarity with Siemens NX is required.
  • Programming Languages: Proficiency in C, C++, Java, and JavaScript.
  • Infrastructure Acumen: Solid understanding of infrastructure concepts and how applications interact within various environments.
  • Analytical Prowess: Exceptional problem-solving and debugging skills with a systematic approach to performance optimization.
  • Application Performance Management (APM): Demonstrated experience with APM tools to detect performance and threading issues commonly used in large enterprises such as Datadog, Dynatrace, New Relic, or similar.

Join our team and help us build the future of software delivery at Siemens!

Why us?

Working at Siemens Software means flexibility - Choosing between working at home and the office at other times is the norm here. We offer great benefits and rewards, as you'd expect from a world leader in industrial software.

A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow!

Siemens Software. Transform the Everyday

#LI-PLM

#LI-REMOTE

#SWSaaS

#LI-JJ1

$109,800 $197,700 5-8%

Sample Siemens interview questions

  • 1

    Design a system to manage a distributed data lake.

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  • 2

    Design a system for managing a distributed feature flag system.

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  • 3

    How do you verify a user’s identity before performing a password reset in AD?

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  • 4

    Rotate a linked list to the right by k places. Given the head of a linked list, rotate the list to the right by k places. Input: head = [0,1,2], k = 4 Output: [2,0,1] Explanation: The list has a length of 3. Rotating by 4 is mathematically equivalent to rotating by 1 (4 mod 3 = 1).

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  • 5

    Calculate the dot product of two sparse vectors.

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