In this role, you will lead the architecture, design, development, and launch of core software products, working alongside talented Software Engineers and AI Scientists. You'll have the opportunity to deepen your knowledge of machine learning and AI while shaping our overall strategy through defining product features, driving system architecture, and championing best practices for high-quality output. We’re seeking someone passionate about new opportunities and with a strong track record in delivering impactful features and products. This role requires exceptional technical expertise, a deep understanding of computer science fundamentals, and experience building reliable, scalable, high-performance systems. Strong teamwork and communication skills are essential for collaborating with technical and business partners.
Responsibilities
- Design, develop, and deploy a secure, reliable, and scalable software platform for Machine Learning services with high availability and low latency.
- Own end-to-end development, ensuring high standards in software design, coding, code reviews, testing, and deployment automation within CI/CD practices.
- Collaborate with AI scientists to leverage algorithmic components in building effective solutions and products.
- Optimize Machine Learning software components to fully utilize modern parallel architectures, including distributed clusters, multicore SMPs, and GPUs.
- Partner with project and program managers to understand product requirements and effectively address the customers' business challenge
Basic Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related fields.
- 5+ years of professional experience in software development or platform engineering.
- Proven experience in building highly scalable, performant, and reliable software.
- Proficiency in at least one modern programming language, such as Python, Java, JavaScript, or C/C++.
- Proficiency in object-oriented software design and development.
- Strong foundational knowledge of data structures, algorithms, and core computer science principles, including operating systems, computer architecture, databases, and networking.
Preferred Qualifications
- Experience developing large-scale distributed software systems on cloud and big data platforms.
- Development experience with cloud services such as Amazon AWS, Microsoft Azure, or Google Cloud Platform.
- Proficiency in big data processing technologies, including Hadoop, Impala, Spark, Flink, Airflow, Kafka, Redis, MongoDB, Cassandra, and similar tools.
- Expertise with Docker, Kubernetes, and CI/CD practices.
- Experience building machine learning or AI applications with familiarity with ML data packages such as Pandas or Dask.
Top Skills
What We Do
We normalize AI. Gauss Labs aims to revolutionize manufacturing by building industrial AI systems beyond human capabilities. Founded in August 2020 with two international locations in San Jose, CA, and Seoul, Korea, Gauss Labs is home to Gaussians who are enthusiastic about pursuing this goal under balanced and inspiring leadership.
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