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Senior Computer Engineer Jobs in Alameda, CA (NOW HIRING)

Computer Vision Engineer

San Francisco, CA · On-site +1

$141K - $184K/yr

This is an excellent opportunity for an engineer who enjoys learning across the entire AI stack and wants to grow into a senior technical contributor. What you'll do * Assist in developing computer ...

Senior Computer Scientist

San Jose, CA · On-site

$78.75 - $105.50/hr

Senior AI ArchitectCommerce Factory - Agent Harness & Learning LayerTHE OPPORTUNITY Adobe Unified ... You will work closely with engineers, architects, product leaders, and platform teams to build ...

Developed by a team of former Instagram and Apple engineers, Rylo's breakthrough stabilization software and smartphone app eliminate the traditional pain points of shooting, editing, and sharing ...

Sr. Computer Graphics Engineer

San Francisco, CA · On-site

$164K - $203K/yr

Developed by a team of former Instagram and Apple engineers, Rylo's breakthrough stabilization software and smartphone app eliminate the traditional pain points of shooting, editing, and sharing ...

The Video Computer Vision and Video Engineering teams are centralized applied research and engineering organizations responsible for developing real-time on-device Computer Vision, Machine Perception ...

CAD Designer

Concord, CA · On-site

$74K - $76K/yr

Works alongside and under the guidance of a Construction Engineer and/or Senior CAD Designer to produce drawings including tolerances, dimensions, materials, and technical project data based on ...

CAD Designer

Concord, CA · On-site

$76K/yr

Works alongside and under the guidance of a Construction Engineer and/or Senior CAD Designer to produce drawings including tolerances, dimensions, materials, and technical project data based on ...

CAD Designer

Concord, CA · On-site

$76K/yr

Works alongside and under the guidance of a Construction Engineer and/or Senior CAD Designer to produce drawings including tolerances, dimensions, materials, and technical project data based on ...

CAD Designer

Concord, CA · On-site

$74K - $76K/yr

Works alongside and under the guidance of a Construction Engineer and/or Senior CAD Designer to produce drawings including tolerances, dimensions, materials, and technical project data based on ...

Algorithm engineer

Milpitas, CA · On-site

$129K - $153K/yr

... and senior product technology process engineers. The LS-SWIFT Division of KLA's Global Products ... Computer Vision * Image Processing * Hands-on experience with at least one major deep learning ...

Algorithm engineer

Milpitas, CA · On-site

$129K - $153K/yr

... and senior product technology process engineers. The LS-SWIFT Division of KLA's Global Products ... Computer Vision * Image Processing * Hands-on experience with at least one major deep learning ...

Showing results 21-40

Senior Computer Engineer information

See Alameda, CA salary details

$67.4K

$143.4K

$208K

How much do senior computer engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for senior computer engineer in Alameda, CA is $143,435.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,400.00 and $162,600.00 per year, depending on experience, location, and employer.

What is a senior computer engineer?

Senior Computer Engineers are experienced professionals who design, develop, and maintain computer hardware and software systems. They often lead engineering teams, oversee complex projects, and ensure that systems meet organizational requirements for performance and security. Their work may include developing new technologies, optimizing existing systems, and mentoring junior engineers. Senior Computer Engineers typically have several years of experience and a strong background in computer science or engineering.

What are the key skills and qualifications needed to thrive as a senior computer engineer?

To thrive as a Senior Computer Engineer, you need advanced knowledge of computer architecture, hardware and software integration, and a relevant degree in computer engineering or a related field. Familiarity with design tools like CAD software, programming languages (such as C/C++ or Python), and industry certifications (like Cisco or CompTIA) is highly beneficial. Leadership, problem-solving, and effective communication are crucial soft skills for managing projects and mentoring junior engineers. These competencies ensure the successful development, troubleshooting, and optimization of complex computing systems, driving innovation and efficiency in technology solutions.

What are some typical challenges faced by senior computer engineers when leading project teams?

Senior Computer Engineers often encounter challenges such as balancing technical leadership with hands-on development work, managing cross-functional team communication, and ensuring that projects stay on schedule. They are responsible for translating high-level requirements into actionable tasks while mentoring junior engineers and resolving technical roadblocks. Effective time management and strong collaboration skills are key, as they frequently coordinate between engineering, product management, and other stakeholders to deliver complex systems on time.

What cities near Alameda, CA are hiring for Senior Computer Engineer jobs?

Cities near Alameda, CA with the most Senior Computer Engineer job openings:

Infographic showing various Senior Computer Engineer job openings in Alameda, CA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, 2% Contract, and 1% Nights. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution, with an average salary of $143,435 per year, or $69 per hour.

Sr. Computer Vision Engineer (Deep Learning)

Harbinger Motors Inc.

Mountain View, CA

$123K - $169K/yr

Full-time

Re-posted 5 days ago


Job description

We are seeking a highly skilled Senior Deep Learning Engineer to drive the development and deployment of advanced perception models for Advanced Driver Assistance Systems (ADAS). The successful candidate will play a key role in designing cutting-edge neural network architectures, optimizing model performance, and ensuring reliable deployment on embedded platforms. This position requires a balance of deep technical expertise, strong analytical thinking, and cross-functional collaboration. This role would sit in Mountain View, CA with PhantomAI, Harbinger's ADAS division. 


Responsibilities

  • Design and implement advanced deep learning architectures to enhance perception capabilities within ADAS systems.
  • Maintain and continuously improve existing models by optimizing performance, addressing issues, and refining architecture and algorithms.
  • Perform detailed root cause analysis of production issues and develop sustainable, high-quality solutions.
  • Optimize model performance with a focus on latency, efficiency, and resource utilization for real-time embedded deployment.
  • Integrate and validate deep learning algorithms on automotive-grade hardware and embedded SoCs.
  • Collaborate closely with data engineering, data annotation, and platform engineering teams to ensure smooth data flow and seamless model integration.
  • Provide regular updates and technical reports on model development, maintenance progress, and performance metrics to management.


Required Qualifications

  • 5+ years of professional experience developing, training, validating, and deploying deep learning-based perception models for ADAS or related computer vision applications.
  • In-depth understanding of training and inference pipelines, including data loading, augmentation, and loss function design.
  • Advanced degree (M.S. or Ph.D.) in Computer Vision, Robotics, Machine Learning, or a closely related discipline, or equivalent industry experience.
  • Strong proficiency in Python and a deep understanding of software design principles and development best practices.
  • Expertise in PyTorch (preferred) or TensorFlow for large-scale model development and experimentation.
  • Practical experience with data pipelines, distributed training, and machine learning experiment management tools.
  • Proven ability to work effectively in a collaborative, cross-functional team environment.


Preferred Qualifications

  • Comprehensive understanding of machine learning algorithms, including classification, regression, and clustering methods.
  • Experience deploying and optimizing models for embedded or automotive SoCs (e.g., NVIDIA Drive, TI TDA4, Qualcomm Snapdragon).
  • Proficiency in model optimization techniques such as quantization, pruning, and knowledge distillation.
  • Doctorate (Ph.D.) in Computer Science, Artificial Intelligence, or related field is a plus.
  • Strong programming experience in Python and/or C++ within Linux development environments.
  • Familiarity with automotive perception workflows, datasets, and evaluation frameworks (e.g., KITTI, Waymo, Euro NCAP)