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Software Engineering Manager Jobs in Newark, CA (NOW HIRING)

OSARO

Senior Software Engineering Manager

San Francisco, CA

$190K - $220K/yr

  • Medical

  • Dental

  • Vision

  • PTO

As a Senior Software Engineering Manager, you will lead the engineering team designing and developing the software platform supporting a range of industrial automation applications. You will ...

OSARO

Senior Software Engineering Manager

San Francisco, CA · On-site

$190K - $220K/yr

  • Medical

  • Dental

  • Vision

  • PTO

As a Senior Software Engineering Manager, you will lead the engineering team designing and developing the software platform supporting a range of industrial automation applications. You will ...

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All JobsSoftware Engineering JobsSoftware Engineering Manager JobsSoftware Engineering Manager Jobs in Newark, CA

Software Engineering Manager information

See Newark, CA salary details

$111.9K

$190.5K

$225.5K

How much do software engineering manager jobs pay per year?

As of Aug 16, 2026, the average yearly pay for software engineering manager in Newark, CA is $190,506.00, according to ZipRecruiter salary data. Most workers in this role earn between $194,600.00 and $194,600.00 per year, depending on experience, location, and employer.

What are some common challenges faced by software engineering managers when leading diverse development teams?

Software Engineering Managers often encounter challenges such as balancing technical leadership with people management, aligning team members with different backgrounds and skill sets, and ensuring effective communication across remote or cross-functional teams. Navigating these challenges involves fostering an inclusive environment, setting clear expectations, and adapting management styles to individual team members’ needs. Successful managers also prioritize regular check-ins and feedback to keep projects on track and support professional growth within the team.

What does a software engineering manager do?

A software engineering manager oversees a team of people who are working on the development of new computer software or the enhancement of existing computer programs. Because this is a management job, your duties may include coordinating and planning with other departments within the company and with company executives. In addition to management skills, you need a firm understanding of the technical aspects of software engineering. Another aspect of this career involves understanding the market and competitor’s products so that your software can compete and meet market demands.

What is the difference between Software Engineering Manager vs Software Developer?

AspectSoftware Engineering ManagerSoftware Developer
CredentialsBachelor's or Master's in CS or related field, often with leadership experienceBachelor's or higher in CS or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersFocuses on coding, debugging, and implementing features
Employer & Industry UsageUsed across tech companies, startups, and large enterprisesCommon in all software development settings
Search & Comparison IntentUnderstanding managerial roles, leadership responsibilitiesFocus on technical skills, coding tasks

The main difference between a Software Engineering Manager and a Software Developer lies in their roles and responsibilities. Managers oversee teams, coordinate projects, and handle strategic planning, while developers focus on coding and technical implementation. Both roles are essential in the software development lifecycle, but they serve different functions within an organization.

What does a software engineering manager do?

A Software Engineering Manager oversees a team of software engineers, guiding the development of software projects from planning to implementation. They are responsible for managing the team's workflow, ensuring high-quality code, and meeting project deadlines. In addition to technical leadership, they also handle hiring, mentoring, and performance reviews. Their role bridges the gap between technical execution and business objectives, ensuring that software solutions align with strategic goals.

What are the key skills and qualifications needed to thrive as a software engineering manager, and why are they important?

To thrive as a Software Engineering Manager, you need a solid background in software development, team leadership, and project management, often backed by a degree in computer science or a related field. Familiarity with development tools, agile methodologies, version control systems, and, in some cases, certifications like PMP or Scrum Master are valuable. Exceptional communication, problem-solving, and mentoring skills distinguish top performers in this role. These competencies are crucial for successfully guiding technical teams, delivering projects efficiently, and fostering a collaborative and innovative engineering culture.
More about Software Engineering Manager jobs

What are the most commonly searched types of Software Engineering jobs in Newark, CA?

The most popular types of Software Engineering jobs in Newark, CA are:

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For Software Engineering Manager jobs in Newark, CA, the most frequently searched job titles are:

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The top searched job categories for Software Engineering Manager jobs in Newark, CA are:

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Cities near Newark, CA with the most Software Engineering Manager job openings:

Software Engineering Manager jobs near you
Infographic showing various Software Engineering Manager job openings in Newark, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $190,506 per year, or $91.6 per hour.

Software Engineering Manager, MTIA

Socket.dev

Menlo Park, CA • On-site

$219 - $301/hr

Other

Posted 3 days ago

New

Job description

As a Software Engineering Manager in the MTIA Software team, you will lead the development of LLVM compiler infrastructure and early software development platforms like simulators, which will be used by the whole software team to accelerate Meta's AI workloads on custom accelerators. Your work on LLVM compiler infrastructure directly influences ISA design and hardware/software co-design decisions. The simulators you build will be critical for pre-silicon development, allowing the whole team to develop software before hardware is available. The program carries top-level executive visibility as a key AI infrastructure initiative, and the team values deep technical contributions with extensive knowledge-sharing.

Responsibilities
  • You will drive the development of the LLVM compiler toolchain and early software development platforms, including cycle-accurate and functional simulators. You will lead teams of engineers and technical leaders delivering large-scale projects across compiler infrastructure and simulator development
  • You will stay technically engaged, contributing hands-on through AI tools to evaluate the technical direction and quality across your teams. You will form trusted cross-functional partnerships with hardware, frameworks, and model teams while actively shaping strategy and roadmap. You will build and mentor engineers into AI-era leaders while maintaining engineering quality through code reviews, testing practices, and documentation
Minimum Qualifications
  • At least 5 years of experience in managing a software team
  • Demonstrated experience in managing other managers
  • Proven understanding and experience in executing full product life-cycles (prototyping, deployment, and support)
Preferred Qualifications
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Knowledge of ML frameworks like PyTorch, TensorFlow, ONNX, MXNet, etc
  • Cycle-accurate and functional simulators. RISC-V architecture and custom ISA tooling
  • Triton and domain‑specific languages. Experience working closely with hardware architectures such as Intel SIMD, GPU, RISC‑V, AI accelerators etc
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience with different programming models for high‑performance computations, e.g., GPU CUDA programming or OpenCL or OpenMP programming
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience in hardware‑software development environments such as simulators, FPGA emulators, etc
  • Experience in accelerating libraries on AI hardware, similar to cuBLAS, cuDNN, CUTLASS, HIP, ROCm etc
  • LLVM compiler infrastructure and MLIR

$219,000/year to $301,000/year + bonus + equity + benefits

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