Top 15 Master production scheduler Jobs in Fremont, Ca

Site Reliability Engineer Manager- Hybrid
Calance US —Santa Clara, CA
- $90 - $120 an hour
- On call
- Azure
- Computer Science
- DevOps
Site Reliability Engineer (AI Acceleration)- Hybrid
Calance US —Santa Clara, CA
- $80 - $100 an hour
- On call
- Azure
- Computer Science
- 5 years
Master Scheduler
Tesla —Fremont, CA
- $80,000 - $144,000 a year
- Full-time
- Computer science
- Computer Science
- Engineering
- Commuter assistance
- Health savings account
Master Scheduler
Microwave Power Products, Inc. —Palo Alto, CA
- $90,000 - $115,000 a year
- Microsoft Word
- 6 years
- Supervising experience
- Commuter assistance
- Paid holidays
Quick Apply
Production Planner II
Honeywell Aerospace —San Jose, CA
- Full-time
- Mid-level
5d
Scheduler
Hill International, Inc —San Jose, CA
- $100,000 - $135,000 a year
- Full-time
- Bachelor of Science
- Writing skills
- Engineering
- Commuter assistance
- Health savings account
Production Planner
Micross —San Jose, CA
- $75,000 - $90,000 a year
- Mid-level
- Bachelor's degree
- Commercial
- Health savings account
- Paid holidays
Quick Apply
Program Planner/ Scheduler
Pacific Defense —Sunnyvale, CA
- $95,000 - $130,000 a year
- Analysis skills
- Organizational skills
- Senior level
- Paid holidays
- Health insurance
Quick Apply
Global Supply Planner
Ichor Systems, Inc. —Fremont, CA
- $99,400 - $169,000 a year
- Urgently hiring
- SQL
- Analysis skills
- Bachelor's degree
3d
Supply Planning Manager
Industrial Electric Manufacturing —Fremont, CA
- $145,565 - $177,980 a year
- 5 years
- Analysis skills
- Bachelor's degree
Quick Apply
Material Planning Manager
Teradyne —San Jose, CA
- $161,000 - $257,500 a year
- Oracle
- Bachelor's degree
- Travel
- Paid holidays
- Disability insurance
Planning Manager
Mettler Toledo —Oakland, CA
- $140,000 - $170,000 a year
- Mid-level
- Office
- Analysis skills
- Disability insurance
- Health insurance
OneStream Integration Lead
Accenture —Mountain View, CA
- $68,300 - $218,800 a year
- Full-time
- Oracle
- System design
- Mentoring
- Paid holidays
- Disability insurance
Senior Kubernetes Engineer - Scientific & Agentic Workflow Platforms
SLAC National Accelerator Laboratory —Menlo Park, CA
- $162,779 - $221,466 a year
- Extended hours
- Hybrid work
- Computer science
- Computer Science
- Customer service
- Dental insurance
- Tuition reimbursement
Senior Compiler Engineer, GPU Code Object Rewriting & Tooling
Advanced Micro Devices, Inc —San Jose, CA
- Hybrid work
- Computer Science
- System design
- Master's degree

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master production scheduler jobs near fremont, ca

Site Reliability Engineer Manager- Hybrid

Calance US -
Santa Clara, CA

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Job Details

Temp-to-hire
$90 - $120 an hour

Qualifications

Performance monitoring
Data storage
Machine learning/AI-based analysis
Kubernetes
Ansible
Tooling
Infrastructure as Code (IaC)
Operational management
DevOps
Improving system uptime or availability
System performance optimization
Managing IT teams
Team leader (DevOps)
Team development
Hiring
RBAC
IT monitoring tools
Operational risk mitigation
Computer hardware
SRE
Terraform
Leading team collaboration initiatives
Monitoring system implementation
Hardware management
IP networking
Storage management (system administration)
Linux
Cloud automation
DevOps automation
AI-driven automation

Full Job Description

The Role
You will build and lead the Site Reliability Engineering team, owning the infrastructure that development, validation, and customer-facing deployments run on. This spans colocation facilities, on-premises lab clusters, cloud environments (AWS, Azure, GCP), and the platform services customers use to collaborate on hardware and software deployments.

You are both a people manager and a practicing engineer. You will set technical direction, hire and grow the team, own SLOs for critical systems, and be the senior escalation point when things go wrong. You will work closely with hardware and software development teams to ensure HPC infrastructure meets their workload requirements and partner with the Senior DevOps Lead whose pipelines and automation run on the infrastructure you own.

What You Will Do
Team Leadership & Strategy
Develop and manage a team of 3 5 SRE engineers; establish a culture of operational excellence, ownership, and continuous improvement.
Define the SRE team's technical roadmap: reliability architecture, automation priorities, capacity planning, and on-call model.
Serve as the senior technical escalation for critical incidents guiding cross-team triage, driving RCA, and ensuring systemic fixes rather than point patches.
Translate operational signals and infrastructure health into clear, actionable narratives for engineering leadership and executive stakeholders.
Partner with hardware and software development teams to understand HPC workload requirements and ensure infrastructure capacity, performance, and reliability meet the needs of silicon and software development programs.

24 x7 Infrastructure Reliability & Observability
Own 24 7 reliability across colocation, on-premises lab clusters, cloud, and customer-facing platform services designing for failure domains, progressive delivery, and strict change control at every tier.
Own the full observability stack (metrics, traces, logs) and define SLOs/SLIs across all SRE systems; use AI-driven detection, correlation, and guided remediation to reduce time to detect, respond, and resolve.
Evolve incident and problem management into a data-driven discipline: automated triage workflows, AI/analytics to identify recurring patterns, and every P0/P1 producing a written RCA with tracked systemic fixes.
Lead FinOps and capacity planning: model TCO across cloud vs. on-prem vs. colo, drive workload placement decisions, and anticipate infrastructure needs for new silicon programs and customer deployments.
Own infrastructure for customer collaboration environments where partners deploy and validate hardware and software.

Automation & Infrastructure as Code
Drive IaC-first discipline across the team Terraform, Ansible, and production-quality automation for all infrastructure provisioning and lifecycle management.
Build and mature self-healing infrastructure platforms: host lifecycle automation, fleet auto-remediation, and AIOps-driven alerting that reduce manual intervention across the operational lifecycle.

Documentation & Global Collaboration
Build a documentation culture and scale a follow-the-sun on-call model as we expands globally runbooks, architecture diagrams, and operational playbooks maintained as living artifacts.
Drive POC and POV evaluations for new infrastructure technologies, interconnect fabrics, and platform services relevant to our accelerator roadmap.

What You Will Bring
Required
Bachelor's or Master's in Computer Science, Electrical Engineering, or related field; 12+ years in SRE, infrastructure engineering, or production engineering (8 years minimum).
3+ years managing SRE or infrastructure teams hiring, growing, and retaining engineers in a fast-moving environment.
Deep Linux systems expertise: networking (TCP/IP, RDMA, bonding), storage, kernel tuning, and bare-metal operations.
Proven experience operating colocation and on-premises hardware at scale: server lifecycle, power and cooling awareness, rack-level networking.
IaC fluency: Terraform and Ansible at production scale module design, remote state, environment isolation, and change governance.
Kubernetes cluster operations: lifecycle management, workload reliability, storage, and RBAC at scale.
Full observability stack ownership: Prometheus, Grafana, and/or DataDog SLO definition, alert design, and E2E signal quality.
Strong Python and/or Go production services, not just scripts; automation that touches real infrastructure safely.
Track record of reducing MTTR/MTTD through automation, workflow orchestration, and AIOps tooling.
Executive communication: translating infrastructure health and operational risk into clear narratives for senior leadership.
Demonstrated track record of moving teams from reactive, process-heavy operations to automated, technology-focused models not just managing existing runbooks.

Strongly Preferred
Experience operating customer-facing infrastructure or platform services reliability expectations beyond internal tooling.
Knowledge of high-speed interconnect fabrics: InfiniBand, RoCE, or NVLink setup, troubleshooting, and performance tuning.
HPC job scheduler experience: Slurm, LSF, or equivalent setup, tuning, and integration with infrastructure automation.
Multi-cloud hybrid operations: AWS, Azure, GCP alongside on-prem/colo unified observability and IaC across all tiers.
FinOps: cloud spend attribution, TCO modeling across cloud vs. on-prem vs. colo, and translating cost data into workload placement recommendations for engineering and executive audiences.
ITIL knowledge or equivalent structured incident/problem/change management framework experience.
Published technical writing, conference talks, or open-source contributions in reliability, observability, or HPC infrastructure.

Apply Now

Refine Your Search

master production scheduler jobs in fremont, ca

Site Reliability Engineer Manager- Hybrid

Site Reliability Engineer (AI Acceleration)- Hybrid

Master Scheduler

Master Scheduler

Production Planner II

Scheduler

Production Planner

Program Planner/ Scheduler

Global Supply Planner

Supply Planning Manager

Material Planning Manager

Planning Manager

OneStream Integration Lead

Senior Kubernetes Engineer - Scientific & Agentic Workflow Platforms

Senior Compiler Engineer, GPU Code Object Rewriting & Tooling

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