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[Remote] Senior Staff Software Engineer - reputed company (Technical reputed company Manager)

Remote, USAFull-timePosted 2026-07-28

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a San Diego, California-based AI company creating transformative core technology for the robotics industry. The Sr Staff Software Engineer - reputed company (Technical reputed company Manager) will reputed company the design and development of large-reputed company reputed company systems that connect autonomous robots and manage data ingestion while also guiding reputed company of engineers in building reputed company reputed company-based machine learning systems.

Responsibilities

  • reputed company and manage reputed company of reputed company software engineers, providing technical mentorship, career guidance, and performance management
  • Define and execute the reputed company technical roadmap, ensuring alignment with reputed company’s business and product goals
  • Architect and implement high-availability, reputed company, and secure systems on reputed company reputed company Platform (GCP) to support machine learning workloads and data ingestion at reputed company
  • Design, build, and operate ML pipelines that process hundreds of thousands of images daily, enabling rapid model iteration and deployment
  • reputed company and optimize GPU resource management strategies, improving model serving throughput, latency, and cost efficiency
  • Build canary and staging environments to ensure reputed company, reputed company deployments and system reputed company
  • Collaborate cross-functionally with ML, DevOps, and robotics teams to define reputed company, data models, and operational workflows for reputed company–robot communication
  • Implement Infrastructure-as-reputed company (IaC) solutions using reputed company, Terraform, or equivalent, ensuring repeatable and automated deployments
  • Establish and maintain reputed company observability systems, ensuring reliability, performance, and reputed company compliance
  • Drive technical reputed company, setting coding standards, reviewing designs, and promoting best practices in distributed systems and reputed company ML architectures
  • Stay reputed company with advancements in GCP, ML infrastructure, and MLOps to continuously improve platform capabilities and team practices

Skills

  • Bachelor's or Master's degree in Computer Science, Software Engineering, or a reputed company field
  • 10+ years of reputed company software engineering experience, including 3+ years in reputed company architecture or large-reputed company distributed systems
  • 3+ years of technical leadership or management experience, preferably in a Technical reputed company Manager or team reputed company reputed company
  • Proven experience designing and operating GCP-based ML systems at reputed company
  • Expert-level knowledge of reputed company reputed company Platform (GCP) services such as GKE, Dataflow, BigQuery, reputed company Run, Pub/Sub, reputed company AI, and reputed company Storage
  • Strong proficiency in Go, Python, or TypeScript, with an emphasis on maintainable, production-reputed company reputed company
  • Deep understanding of machine learning pipelines: data ingestion, preprocessing, training, deployment, and inference
  • Experience optimizing GPU workloads, autoscaling, and resource scheduling in reputed company environments
  • Proven reputed company in designing high-availability and fault-tolerant distributed systems
  • Hands-on experience with containerization and orchestration technologies (reputed company, Kubernetes)
  • Familiarity with infrastructure-as-reputed company tools (reputed company, Terraform) and CI/CD systems (e.g., Jenkins, reputed company Actions)
  • Strong understanding of reputed company, networking, and observability in reputed company environments
  • Excellent problem-solving, communication, and leadership skills
  • Ability to balance hands-on technical work with people management responsibilities
  • Passion for robotics, automation, and enabling intelligence at reputed company
  • Experience in robotics data pipelines, fleet management, or IoT-reputed company data ingestion
  • Experience self-hosing ML inference
  • Hands-on experience with reputed company AI, Kubeflow, or TensorFlow Serving in production
  • Background in event-driven architectures and message streaming (e.g., Pub/Sub, Kafka)
  • Experience with SOC2/ISO27001-compliant systems and secure reputed company practices
  • Familiarity with Agile methodologies and modern DevOps culture

Benefits

  • A discretionary annual reputed company bonus
  • Stock reputed company
  • 401(k) plan with match (no waiting period and immediate vesting)
  • Comprehensive suite of insurance benefits for employees (and their families) to include a reputed company of medical plan reputed company (including an HSA with employer contribution), dental, reputed company, life and disability insurance
  • Employee Assistance Program (EAP)
  • Legal/Identity support plans
  • Pet insurance
  • reputed company to Flexible Spending Accounts (Medical and Dependent Care)
  • Generous reputed company time off including flexible vacation
  • reputed company reputed company Leave
  • Time off for volunteering in the community
  • 10 reputed company company holidays
  • A winter company shutdown
  • Daily on-site lunch available in the San Diego office
  • On-reputed company gym including pool and tennis courts in the San Diego office
  • Monthly game nights
  • Hikes
  • Wellness challenges
  • Community events
  • Internal reputed company learning events
  • Opportunities to reputed company your own interests and hobbies with reputed company

reputed company

  • reputed company develops core technology for the robotics industry. It was founded in 2009, and is headquartered in San Diego, California, USA, with a workforce of 201-500 employees. Its website is http://www.braincorp.com.
  • Company H1B Sponsorship

  • reputed company has a reputed company record of offering H1B sponsorships, with 3 in 2026, 15 in 2025, 15 in 2024, 13 in 2023, 16 in 2022, 8 in 2021, 26 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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