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Entry Level Workforce Management Real Time Analyst Jobs in California

ABM

Workforce Productivity Analyst

San Francisco, CA · On-site

$80K - $100K/yr

For information about ABM's benefits, visit ABM 2026 Employee Benefits | Staff & Management Pay ... ABM serves a wide range of market sectors including commercial real estate, aviation, education ...

ABM

Workforce Productivity Analyst

San Francisco, CA · On-site

$55K - $100K/yr

For information about ABM's benefits, visit ABM 2026 Employee Benefits | Staff & Management Pay ... ABM serves a wide range of market sectors including commercial real estate, aviation, education ...

Aerotek

Workforce Manager

San Jose, CA · On-site

$74K - $85K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As a Workforce Manager you will... * Serve as the liaison between client managers, local office and ... HSA & 401k account * 20 days of paid time off as well as paid holidays * Parental/Family leave

Swish Analytics

Trading Analyst

San Francisco, CA

Company Overview Swish Analytics is a sports analytics, betting, and fantasy startup building the ... You will help manage and improve real-time pricing across a range of sports and market types, with ...

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

Company Overview Swish Analytics is a sports analytics, betting, and fantasy startup building the ... You will help manage and improve real-time pricing across a range of sports and market types, with ...

Raytheon

Software Engineer II, Real-time Embedded

Goleta, CA

$141K - $186K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience developing real-time applications on embedded platforms, including bare metal (no-OS ... Lab experience in product testing using logic analyzers, high-speed. oscilloscopes, signal ...

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All JobsWorkforce Management Real Time Analyst JobsEntry Level Workforce Management Real Time Analyst JobsEntry Level Workforce Management Real Time Analyst Jobs in California

Entry Level Workforce Management Real Time Analyst information

What is the difference between Entry Level Workforce Management Real Time Analyst vs Entry Level Workforce Planning Analyst?

AspectEntry Level Workforce Management Real Time AnalystEntry Level Workforce Planning Analyst
Primary FocusMonitoring and adjusting staffing in real-time to meet demandForecasting and planning staffing needs for future periods
Skills RequiredData analysis, real-time decision making, communicationForecasting, data analysis, strategic planning
Work EnvironmentContact centers, customer service operationsContact centers, call centers, customer service departments
CertificationsBasic data analysis, workforce management toolsForecasting, scheduling, workforce management software

While both roles involve workforce management, the Entry Level Workforce Management Real Time Analyst focuses on real-time staffing adjustments, whereas the Entry Level Workforce Planning Analyst emphasizes future staffing forecasts and planning. Both positions require analytical skills and familiarity with workforce management tools, but their daily tasks and objectives differ significantly.

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Entry Level Workforce Management Real Time Analyst jobs near you
Infographic showing various Entry Level Workforce Management Real Time Analyst job openings in California as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 2% Temporary, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

Embedded Software Engineer - Real-Time Linux

Maven Robotics

San Francisco, CA • On-site

$154K - $203K/yr

Full-time

Re-posted 25 days ago

Job description

Company Overview
Maven Robotics is building the world's leading general-purpose AI robots.
We are currently operating in stealth and are growing the world's best team in AI robotics. We are looking for self-starters that are the world's best in their field, who can innovate from a deep understanding of the fundamentals, and who share our values of unwavering truth seeking and integrity, humility, curiosity, and relentless determination.
Role Description
We are looking to recruit an exceptional Embedded Software Engineer - Real-Time Linux to help build the foundational real-time Linux platform powering the brains of our autonomous robotics systems. This is a critical role for developing high-performance, GPU-accelerated compute platforms tailored to robotics and machine learning workloads.
In this role you will:
  • Design, adapt, and integrate POSIX-compliant systems for advanced robotics and machine learning (ML) applications.
  • Develop the framework for integration of controls, machine learning and supporting algorithms with real-time tasks.
  • Collaborate with Controls and Machine Learning engineers to develop and optimize high performance autonomous systems.
  • Develop and maintain drivers for integration with real-time robotic middleware.
  • Build tools to monitor, verify and optimize system performance, ensuring reliable and deterministic behavior.
  • Contribute to a deterministic and reproducible build and test environment for efficient development.
  • Work with functional safety engineers to support standards compliance, audit readiness, and traceability.
  • Develop robust solutions for over-the-air (OTA) updates, calibration management and software deployment strategies.
  • Tackle complex, real-world challenges alongside a multidisciplinary team of experts.
Qualifications
Must-have:
  • MS in computer engineering, computer science or a related discipline.
  • Production experience with bringup and configuration of Linux PREEMPT_RT and similar operating systems (e.g. QNX).
  • Strong understanding of Linux device trees, scheduling and memory management.
  • Experience with multicore ARM SoCs, interprocess/intercore communications and message passing.
  • Proficiency in C and C++
  • Experience with ROS 2 middleware and alternatives (Eg. FastDDS, CycloneDDS, Zenoh).
  • Familiarity with container technologies, container runtimes and related concepts (Eg. Docker, Containerd, Overlayfs).
  • Understanding of toolchains (compilers, linkers, debuggers, static analysis tools)
  • Self-starter attitude with strong ability to identify problems, prioritize them, then plan and execute working solutions.
  • Proactive, self-driven mindset with a strong ability to prioritize and deliver in a fast-paced startup environment.

Nice-to-have:
  • Familiarity with communication protocols (e.g. Ethernet, EtherCAT, CAN, CANOpen).
  • Knowledge of ARM SIMD/NEON architecture extensions.
  • Proficiency in additional programming languages (e.g. Python, Rust, Golang).
  • Expertise with multi-language build systems (e.g. Bazel, Bob).
  • Experience with Hypervisors (e.g. QNX Hypervisor, Jailhouse, Xen).
  • Understanding of container orchestration systems and tools (Eg. Kubernetes).

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