Senior Software Engineer, Machine Learning, Acceleration Platform

United States Digital Space LLC; Singapore; On-site; SGD 140,000 - 230,000; Full time

Job summary

United States Digital Space LLC in Singapore is seeking a Senior Software Engineer to design and build scalable AI-native systems, focusing on multi-agent orchestration and large-scale retrieval pipelines.

You will own architecture, mentor engineers, and drive security-by-design while delivering high-impact software across global teams.

Applicants should have strong Python and C++ experience, ML infrastructure expertise, and a track record delivering production-grade systems at scale.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software programming in Python or C++.
• 3 years testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience in a core ML domain (e.g., NLP, CV, RL, or ML infra).
• 3 years of experience with ML infrastructure (training, inference, deployment, evaluation, data processing, debugging).

Responsibilities

• Lead the design and architecture of highly scalable, fault-tolerant systems.
• Define best practices blending distributed systems with LLM orchestration and RAG pipelines.
• Establish the technical strategy for AI quality and safety with automated evaluation frameworks.
• Build telemetry and introspection tooling for debugging and optimization at scale.
• Mentor junior and mid-level engineers and align technical roadmaps.

Skills

Python

C++

ML infrastructure

Distributed systems

NLP/LLM

Leadership

Education

Bachelor's degree

Master's degree

Tools

PyTorch

JAX

TensorFlow

LLM backends

Job description

the company will be prioritizing applicants who have a current right to work in Singapore, and do not require the company's sponsorship of a visa.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software programming in Python or C++.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience in a core ML domain, including but not limited to generative AI, Natural Language Processing (NLP), computer vision, speech/audio, reinforcement learning, recommendation systems, or ML infrastructure.
• 3 years of experience with ML infrastructure (e.g., model training, model inference, model deployment, model evaluation, optimization, data processing, debugging).

Preferred qualifications:

• Master's degree or PhD in Computer Science, or related technical fields.
• 5 years of experience with data structures and algorithms, with 2 years of experience in a technical leadership role, and ability to drive technical consensus and engineering excellence.
• Expertise in distributed systems architecture and core programming with nuanced LLM knowledge, and deploying and scaling enterprise-grade LLM backends, advanced RAG systems, and autonomous agentic workflows.
• Proficient in core ML concepts (attention, embeddings, encoders/decoders) and frameworks (PyTorch, JAX, TensorFlow) with experience optimizing ML models.
• Knowledge in AI safety, enterprise security, advanced prompt engineering, and scalable model evaluation methodologies.

About the job

the company's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

As a Senior Software Engineer in the Acceleration Platform team in Singapore, you will architect the next generation of AI-native agentic systems designed to eliminate systemic developer toil at a global scale. You will own the technical goal, moving beyond tool-building to define the very paradigms of how autonomous AI resolves complex engineering challenges. You will navigate high-ambiguity, zero-to-one initiatives, establishing the gold standard for AI engineering excellence and security-by-design while scaling the technical capabilities of the entire organization through high-leverage mentorship.

The Core team builds the technical foundation behind the company’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at the company. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across the company’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

Responsibilities

• Lead the design and architecture of highly scalable, fault-tolerant systems where multi-agent networks reason, plan, and execute complex workflows across vast, distributed codebases.
• Define best practices for the team and broader organization. Blend traditional distributed systems architecture with advanced LLM orchestration, complex Retrieval Augmented Generation (RAG) pipelines, and optimization.
• Establish the overarching technical strategy for AI quality and safety. Build automated evaluation frameworks that measure performance, enforce strict security standards, and reliably mitigate at scale.
• Manage the most intricate non-deterministic edge cases. Build advanced telemetry and introspection tooling that allows the entire organization to understand, debug, and optimize self-sustaining behavior.
• Drive technical alignment across local pods and global organizations. Mentor junior and mid-level engineers, translate extreme ambiguity into actionable technical roadmaps, and shape the future of AI-driven developer productivity.

the company is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also the company's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.