2422 Software Engineering Manager jobs in Carlsbad,CA

Salary Minimum: 80,000

Salary Maximum: 100,000

Holiday pay, and paid time off

Health, vision, and dental insurance

401(k), plus matching

Flexible spending accounts (FSAs), health savings account (HSA) with AMETEK contribution, life insurance, disability insurance, and family medical leave

Employee referral program

Tuition reimbursement program

Employee assistance program

Bachelor's degree in Mechanical Engineering, Industrial Engineering, or related discipline.

Minimum of 3 - 5 years of electronics manufacturing engineering experience.

Ability to read and interpret specifications and drawings, detailed knowledge of manufacturing processes involving electronic assemblies, PCB construction/design/manufacturing, and testing of electronic products, and experience in product design, PCB layout, and test fixture design for electronic devices.

Applicants must have the legal right to work in the U.S.

Must be legally authorized to access export-controlled information and source code.

Proficiency in using Microsoft Office, especially Excel, Word, PowerPoint, and Outlook.

Experience in a high mix, low volume, process manufacturing environment

Practical experience implementing Lean Manufacturing.

Proficient in Autodesk Inventor and SolidWorks.

Demonstrated ability and willingness to use AI tools to improve productivity, decision-marking, work quality, and to reduce costs. The successful candidate must be able to identify appropriate AI use cases and critically evaluate AI-generated outputs.

The salary range for this role is 75,800 USD - 144,200 USD.

Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement.

Medical, dental, and vision insurance

Three weeks of vacation for newly hired employees

Generous 401(k) plan that includes employer matching funds and separate employer retirement contribution, including a Lifetime Income Strategy option

Tuition reimbursement program

Student Loan Repayment Program

Life insurance and disability coverage

Optional coverages you can buy pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, ID theft protection

Birth, adoption, parental leave benefits

Ovia Health, fertility, and family planning

Adoption Assistance

Autism Benefit

Employee Assistance Plan, including up to 10 free counseling sessions

Healthy You Incentives, wellness rewards program

Doctor on Demand, virtual doctor visits

Bright Horizons, child and elder care services

Teladoc Medical Experts, second opinion program

Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays.

Flexible work schedules

This job requires a U.S. Person. A U.S. Person is a lawful permanent resident as defined in 8 U.S.C. 1101(a)(20) or who is a protected individual as defined by 8 U.S.C. 1324b(a)(3). U.S. citizens, U.S. nationals, U.S. permanent residents, or individuals granted refugee or asylee status in the U.S. are considered U.S. persons.

Typically requires a University Degree and minimum 2 years of prior relevant experience or an Advanced Degree in a related field

Direct manufacturing engineering experience within an NPI environment

Bachelor's degree in Electrical Engineering, Optics, or Physics preferred, or equivalent experience of at least 2 years.

Mechanical-electrical assembly/test experience

Experience developing tests for optical manufacturing; solid, current knowledge of optical and mechanical components; and troubleshooting and debugging skills.

Knowledge of statistics, Design of Experiments (DOE), Six Sigma methodologies, and risk analysis tools, including FMEA, Cause-and-Effect Analysis, and Fishbone Diagrams.

Proficiency in Microsoft Office applications (Word, Excel, PowerPoint, Visio, and Project) and LabVIEW or equivalent software.

Familiarity with working in a Quality Management System (QMS) environment, such as AS9100 or ISO 9001.

$223,600.00 - $335,400.00

Competitive annual discretionary bonus program

Opportunity for annual RSU grants

Our highly competitive benefits package is designed to support your success at work, at home, and at play.

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 8+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR Master's degree in Computer Science, Engineering, Information Systems, or related field and 7+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR PhD in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

15+ years of industry experience in software engineering, embedded systems, AI/ML software, or automotive software development.

Expert-level proficiency in C/C++ software development.

Strong software architecture and design skills, including distributed systems, embedded software, performance optimization, debugging, testing, and software lifecycle management.

Demonstrated experience leading large technical initiatives spanning multiple teams and organizations.

Experience interfacing directly with customers and translating customer requirements into engineering deliverables.

Strong understanding of embedded and systems software development environments.

Experience in automotive software platforms, including QNX, Android Automotive, Linux, or AUTOSAR-based environments.

Experience delivering software for automotive production programs with OEMs or Tier-1 suppliers.

Familiarity with automotive safety and quality standards, including: * ISO 26262 * ASPICE * Automotive cybersecurity standards (ISO/SAE 21434) * Functional safety development processes

Experience with AI/ML frameworks such as PyTorch, TensorFlow, ONNX, JAX, or equivalent.

Experience with deployment and optimization of: * CNNs * Transformers * Vision-language models * Large language models (LLMs) * Multimodal models

Experience with edge AI inference acceleration and heterogeneous compute architectures, including CPUs, GPUs, NPUs, DSPs, and AI accelerators.

Experience with Qualcomm AI technologies, including QAIRT, QNN, SNPE, Genie, and related AI software components.

Experience debugging complex issues spanning application software, middleware, operating systems, drivers, compilers, and hardware platforms.

Experience with model optimization techniques, including quantization, compression, pruning, compilation, and runtime optimization.

Experience leading globally distributed engineering teams and cross-functional programs.

Experience with Agile software development methodologies and Git-based source control management.

Software development experience in Python.

AI-native and agentic software development proficiency.

The annual base salary range is: $156,100—$234,500 USD

This role may be eligible for incentive pay and/or equity.

Flexible time off, wellness resources, and company-sponsored team events.

Pre-sales experience is required

5 or more years of relevant experience, mixed among technology, design, and communications required.

Deep understanding of the architecture, design and implementation of multi-tiered client/server and web-based computing solutions

Prior experience in targeting new prospects and converting them into clients

Superior knowledge of current and emerging storage architectures (FC, iSCSI, NAS, OSD, SAN)

Previous experience with Linux, NFS file systems and Linux distributed network environment

Installation/configuration of distributed computing, multiprocessing, virtual memory subsystem, storage subsystems architecture, shared memory architectures, cache architectures, windowing systems

Strong knowledge of digital transformation to a Cloud Native architecture, On-Prem, Public Cloud, Provisioning Automation, and Containers

Knowledge of VMware, Local Area Networking, Ethernet, TCP/IP and general networking

Experience supporting the sales of enterprise storage, networking, systems, cloud, or software to enterprise accounts preferred

Must have a familiarity with modern web architecture a plus (LAMP stack, scale-out vs scale-up architectures, AWS well-architected framework, microservices architecture)

Familiarity with AWS, Azure, GCP, containers, k8s and microservices architectures a plus

Familiarity with storage-intensive applications and their requirements such as structured databases (SQL, Oracle) is highly desirable