Staff Software Engineer, Platform

Entangled Future; United States; Remote; USD 220,000 - 260,000; Full time

Benefits offered by this job

Comprehensive medical, dental, and vis

Retirement savings with company match

Paid parental leave

Flexible work arrangements

Job summary

SandboxAQ is seeking a Staff Software Engineer for the Platform & Infrastructure team in the United States (remote). You will lead architectural strategy for scalable, high-performance infrastructure supporting AI workloads and collaborate with product, research, and security teams.

You will mentor junior engineers, drive foundational platform services, and help accelerate developer velocity across the organization in a fast-growing environment.

Qualifications

• 8+ years of professional software development experience.
• Experience leading engineering teams and shaping technical strategy at staff level.
• Expertise in cloud-native infrastructure and Kubernetes at scale.
• Experience with GPU/ML infrastructure for training, data-generation, and inference workloads.
• Ability to decompose complex technical problems into incremental, actionable architectural designs.
• Deep proficiency in patterns for high-throughput, low-latency services.
• Experience operating in high-growth environments with evolving infra needs.
• Knowledge of data governance, data registries, lineage, and federated access for model tuning with IP-sensitive environments.

Responsibilities

• Define and execute the long-term platform infrastructure strategy.
• Mentor junior engineers and foster a culture of high standards and learning.
• Diagnose bottlenecks and convert complex infra challenges into scalable requirements.
• Design foundational platform services to improve developer experience and reduce ops overhead.
• Collaborate with product, research, and security to keep infra secure and performant.

Skills

Distributed systems

Technical leadership

Cloud-native

Kubernetes

GPU/ML infra

Architectural design

Job description

Staff Software Engineer, Platform at SandboxAQ, United States (remote). A lead-level full time position in the AI Simulation team, listed under software engineering.

The Opportunity

The Platform & Infrastructure team builds the foundational services, including compute, storage, networking, and robust cloud environments that empower our scientists and engineers to innovate at scale. We are committed to building reliable, scalable systems that accelerate developer velocity and ensure the high availability of our Large Quantitative Models (LQMs). We are looking for a Staff Engineer to act as a technical leader within our Platform & Infrastructure organization. This role is central to our efforts to evolve our architectural strategy, scale our core services to meet global demand, and elevate the technical capabilities of our engineering team. You will be instrumental in breaking down complex systemic challenges into clear, actionable parts, mentoring a team of junior engineers, and setting the standard for systems excellence across the company.

Why Join Us? We offer a comprehensive and competitive benefits package designed to support your health, financial well-being, and life outside of work.

• Career Defining Work : Your work will directly accelerate the discovery of better drugs and better materials, advance human health, and enable safer and more sustainable technologies by helping customers put AI Simulation capabilities into real world use.
• Compensation: Competitive base salary, performance-based incentives or bonuses (where applicable), and equity participation.
• Benefits: Comprehensive medical, dental, and vision coverage for employees and dependents with generous employer premium contributions, retirement savings with company matching, paid parental leave, and inclusive family-building benefits.
• Work-Life Balance: Fully remote, Flexible paid time off, company-wide seasonal breaks, and support for flexible work arrangements that enable sustainable performance.

Responsibilities

• Lead Architectural Strategy: Define and execute the long-term vision for our infrastructure, designing resilient, distributed systems that support our rapidly growing AI workloads.
• Mentor and Develop Talent: Provide technical leadership and mentorship to junior engineers, fostering a culture of high standards, code quality, and continuous learning.
• Systemic Problem Solving: Partner with engineering leads to diagnose complex technical bottlenecks and break down multifaceted infrastructure challenges using first principles into scalable, manageable technical requirements.
• Drive Platform Excellence: Design and implement foundational platform services that improve developer experience and reduce operational overhead across the engineering organization.
• Collaborate Cross-Functionally: Work closely with product, research, and security teams to ensure our infrastructure is secure, performant, and aligned with the company’s broader mission.

Requirements

• 8+ years of professional software development experience, with a proven track record of designing and scaling complex distributed systems.
• Demonstrated experience leading high-impact engineering teams, including mentoring junior engineers and influencing technical strategy at a staff level.
• Expertise in cloud-native infrastructure (GCP preferred) Kubernetes at scale.
• Expertise in GPU/ML infrastructure for large training, data-generation, and inference workloads, including GPU scheduling, optimization and high-performance networking.
• Strong ability to decompose complex technical problems into simplified, incremental, and actionable architectural designs.
• Deep proficiency in architectural patterns for high-throughput, low-latency services.
• Experience operating in high-growth environments where infrastructure requirements pivot rapidly due to new scientific or product discoveries.
• Experience with multi-tenant, data governance, data registries, lineage, and federated access for model tuning with high IP sensitive environments
• Worked in regulated / compliance-bound environments that have data residency, export controls, SOC2, and strict isolation requirements.