Embedded Engineering Lead - Streaming Job at Verkada (San Mateo)

Associate Director of Embedded Software Engineering

Silvus is seeking an Associate Director of Embedded Software Engineering to join...

Location

United States , Los Angeles

Salary:

200000.00 - 250000.00 USD / Year

Silvus Technologies (International)

Expiration Date

Until further notice

Requirements

Demonstrated experience leading a team of engineers with hands-on development
Bachelor of Science degree in Electrical Engineering, Computer Science, or relevant engineering fields
8+ years of relevant embedded system software development experience
Strong expertise in C programming
Expertise in board support package and secure boot in AMD UltraScale+ MPSoC and/or Microchip Polarfire SoC based products
Linux kernel driver development expertise
Expertise in network configurations and programming
Must be a U.S. Citizen due to clients under U.S. government contracts

Job Responsibility

Lead a team of engineers and be responsible for the team’s success on assigned projects
Work with the Director of Software Engineering and the rest of the engineering team to improve engineering processes, product quality, reliability, and performance
Develop device drivers and board support packages
Develop the software portion of MAC (Medium Access Control) and mobile ad-hoc networking routing protocols
Develop efficient wireless multicast protocols for mobile ad-hoc networking
Develop network management software and user interfaces
Develop audio streaming and push-to-talk voice applications
Perform system level design and implement security protocols and encryption algorithms on StreamCaster radios and other products
Support product security effort and regulatory compliance requirements such as NIST FIPS 140-3 and NIAP Common Criteria
Engage with and support customers as needed

Fulltime

Director of Engineering

As a Director of Engineering at Elsewhen, you will be a key member of our techno...

Location

United Kingdom , London

Salary:

Not provided

Elsewhen

Expiration Date

Until further notice

Requirements

Applied AI experience in personal or professional projects
Experience embedding AI into engineering workflows or client solutions
Experience operating in a consultancy or multi-client/project environment
Comfortable pitching, estimating, and leading multiple concurrent work streams or projects
Proven experience in a senior technology leadership role (e.g., Senior Engineering Manager, Head of Engineering, or Director of Engineering/Technology) within a digital product or consultancy environment
A strong background in hands-on software engineering and system architecture, with experience delivering complex, large-scale digital products
Demonstrable experience in people management, including hiring, mentoring, and developing engineering leads and senior engineers
Experience in a client-facing role, with excellent communication skills and the ability to articulate complex technical concepts to non-technical stakeholders
A track record of contributing to technology strategy and making high-level decisions on architecture, tooling, and practices
Experience working effectively in a collaborative leadership team, contributing to a shared vision and collective goals

Job Responsibility

Partner with the CTO and other directors to define and shape the company’s overall technology strategy, roadmap, and standards
Lead, mentor, and develop a dedicated group of engineering leads and their teams, fostering their professional growth and managing team performance
Provide strategic oversight and technical governance for a portfolio of client projects, acting as the primary escalation point for technical challenges
Act as a senior technical expert in new business pitches and client relationships, helping to design solutions and build trusted partnerships
Drive innovation within your domain by championing emerging technologies, modern architectural patterns, and best-in-class engineering practices
Champion and contribute to our engineering culture, promoting an environment of collaboration, inclusion, and continuous learning
Manage team structure and resource allocation within your remit to ensure efficient and high-quality project delivery

What we offer

Private Health Insurance: Comprehensive coverage for both physical and mental health
Flexible and Remote-First Work Environment: Choose how and where you work, with the option for weekly team meet-ups in central London
Generous Leave Policy: 27 days of holiday plus bank holidays
Family-friendly policies, including enhanced maternity, paternity leave
Learning and Development: Individual annual budget of £2,000 for learning and development, with dedicated learning days
Feel Better Fund: £500 to help set up your remote office
Social Events: Monthly and quarterly team events, an annual team trip, and half-yearly social events
Gym Membership Contribution: Support for maintaining your physical health
Pension Contribution: Enhanced employer pension contribution of 6%
Bonus Opportunities: Potential to receive a discretionary (non-contractual) bonus based on business and personal achievements

Fulltime

New

Software Engineering Lead, Wealth Division

Randstad has recently partnered with a global organisation, with a positive repu...

Location

Malaysia , Kuala Lumpur

Salary:

30000.00 - 40000.00 RM / Month

Randstad

Expiration Date

May 24, 2026

Requirements

Software Engineering Roots: A proven track record as a Senior, Lead or Staff Engineer with over 10 years of experience. You must be able to collaborate with developers and understand the nuances of system design and architecture.
Wealth Domain Expertise: Deep understanding of wealth management workflows, including portfolio management, rebalancing, trade execution, market data feeds, and client reporting.
Strategic Thinking: The ability to look beyond the next sprint and understand how technical debt or architectural choices impact the firm's long-term competitive edge.
Modern Tech Stack Proficiency: Experience with cloud platforms (AWS/Azure/GCP), microservices architectures, and modern data streaming (e.g., Kafka).
Regulatory Fluency: Comfort navigating the intersection of fast paced deployments and compliance assurance. You understand that in Wealth, "done" means "secure and auditable."

Job Responsibility

Architectural Stewardship: Define and evolve the technical roadmap for our wealth products, moving away from legacy monoliths toward event-driven, cloud-native architectures.
Strategic Planning: Collaborate with product owners and stakeholders to translate business goals (AUM growth, client retention, advisor efficiency) into actionable engineering milestones.
Modernization & Transformation: Lead the transition to modern tech stacks, focusing on high-availability systems, API-first integrations, and data integrity.
Regulatory & Compliance Liaison: Ensure all engineering outputs meet stringent financial regulations (e.g., GDPR, MiFID II, SEC/FINRA requirements) by embedding security and auditability into the SDLC.
Cross-Team Collaboration: Act as the "technical glue" between front-office advisor tools, back-office clearing systems, third-party fintech integrations and C-level executives
Mentorship & Culture: Foster an engineering culture of excellence, high-quality code reviews, and continuous learning, specifically within the context of complex financial logic.

What we offer

excellent benefits
Hybrid Working Arrangement
Excellent Compensation Package

Fulltime

Engineering Lead - Digital Transformation

As Engineering Lead for Digital Transformation, you will play a critical role in...

Location

United Kingdom , London

Salary:

Not provided

Equals Group PLC

Expiration Date

Until further notice

Requirements

Proven experience leading engineering delivery for internal platforms, integrations, or digital transformation initiatives
Strong background in API design and integration, including RESTful services, authentication, and versioning strategies
Experience of Node.JS
Hands-on experience with event-driven architectures, serverless, and messaging systems
Deep experience working in AWS-centric environments and modern cloud-native architectures
Track record of integrating third-party SaaS platforms into regulated or complex environments
Strong understanding of non-functional requirements including security, resilience, auditability, and compliance
Excellent stakeholder communication skills, able to explain technical decisions and trade-offs to non-technical audiences

Job Responsibility

Own the technical delivery of digital transformation initiatives across Finance, HR, Compliance, Operations, and Commercial
Provide hands-on leadership across integration, automation, and platform work, setting clear technical direction and standards
Design and oversee API-first and event-driven architectures that enable scalable, loosely coupled systems
Ensure all transformation solutions align with core platform principles, security requirements, and regulatory obligations
Lead the integration of third-party SaaS tools and vendors into the Equals Railsr ecosystem using robust APIs, messaging, and event streams
Drive adoption of event-driven patterns to reduce coupling, improve observability, and accelerate change
Own integration standards, including API design, versioning, authentication, error handling, and monitoring
Partner with data and platform teams to ensure consistent data ownership, governance, and interoperability across systems
Lead and mentor transformation-aligned developers, setting a high bar for quality and delivery
Work closely with Product Managers embedded in Digital Transformation teams to translate business problems into robust technical solutions

What we offer

Competitive salary and benefits
hybrid working
chance to build systems that materially change how the business operates

Head of Factory Software & Vehicle Diagnostics

At Mach Industries, we are designing and building the world’s most advanced prod...

Location

United States , Huntington Beach

Salary:

170000.00 - 250000.00 USD / Year

Mach Industries

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Electrical Engineering, Mechanical Engineering, Robotics, or a related engineering field
10+ years of experience in software engineering, controls engineering, automated testing, manufacturing software, or firmware systems
5+ years of experience leading technical teams or engineering organizations
Proven track record of shipping production-critical software or managing large-scale automated test systems
Strong systems-level thinking across software, hardware, networks, and manufacturing workflows
Deep expertise in one or more of the following areas: Manufacturing Execution Systems (MES)
PLCs and industrial controls (Beckhoff, Siemens, B&R, Allen-Bradley)
Firmware flashing, bootloaders, and secure signing
Vehicle or embedded diagnostics (CAN, LIN, Ethernet, UDS, custom protocols)
Test automation frameworks, HIL systems, or end-of-line validation

Job Responsibility

Build, lead, and develop a cross-functional organization including manufacturing software engineers, controls engineers, firmware-tools engineers, diagnostic engineers, and data platform engineers
Own the end-to-end architecture for factory software, including MES-like systems, build tracking, serialization, and production workflow tools
Lead the design and implementation of vehicle flashing, commissioning, and diagnostics pipelines inside the factory
Define and deliver the vehicle–factory communication framework (CAN, Ethernet, custom protocols, telemetry ingestion, APIs)
Oversee all end-of-line (EOL) software, automated test stands, calibration systems, and data acquisition infrastructure
Partner with manufacturing engineering, build engineering, design engineering, flight software, and NPI teams to integrate software tools and processes across the vehicle lifecycle
Implement highly reliable production-grade software with redundancy, observability, and real-time data health monitoring
Drive rapid iteration and continuous improvement of test coverage, automation, and factory efficiency
Own uptime, performance, and correctness for all software critical to production and test operations
Establish coding standards, architecture strategies, and long-range roadmaps for factory software and diagnostics

What we offer

Offers Equity
healthcare
dental and vision plans
retirement savings
paid time off
funds for continuing education, training, and career growth

Fulltime

Principal Data And Analytics Engineer

The Principal Data and Analytics Engineer holds comprehensive responsibility for...

Location

United States

Salary:

108086.00 - 180144.00 USD / Year

O'Reilly Auto Parts

Expiration Date

Until further notice

Requirements

Proven experience architecting enterprise-scale data platforms and ecosystems, including hybrid and cloud-native environments (e.g., GCP BigQuery, Snowflake, Iceberg, Advanced SQL, Erwin, dbt, Kafka, Alation, Collibra)
Deep expertise in designing and scaling highly available, secure, and fault-tolerant batch and streaming pipelines with strong emphasis on cost optimization, observability, and latency control
Advanced proficiency in semantic modeling, reusable data asset design, and cross-functional data product delivery aligned to medallion architecture
Leadership in implementing CI/CD-enabled pipelines, RBAC frameworks, schema evolution strategies, and interoperable data exchange using Iceberg or equivalent table formats
Ownership of organization-wide metrics store and semantic layers, ensuring consistency, governance, and performance across reporting, AI, and ML use cases
Advanced expertise in programming languages such as Python, Scala, with the ability to architect complex data solutions
Demonstrated leadership in designing and overseeing the implementation of scalable, idempotent workflows using orchestration frameworks such as Airflow and Prefect
Demonstrated ability to translate business transformation goals into scalable data solutions and reusable patterns
Deep understanding of business processes, KPIs, and capability maps across functions such as supply chain, customer, store ops, and finance
Proven experience in driving cross-functional data product prioritization, influencing senior stakeholders, and quantifying impact of data initiatives

Job Responsibility

Help define and evolve enterprise data engineering blueprints, including data mesh, medallion architecture, and hybrid cloud data platforms
Set strategic direction for data platforms, tools, and services (e.g., Snowflake, GCP BigQuery, dbt, Kafka, Airflow/Prefect) in alignment with future-state architecture and business priorities
Architect and design highly scalable, resilient, cost optimal and secure data platforms
Lead the design and implementation of next-generation data platforms, ensuring fault tolerance, high availability, and optimal performance for petabyte-scale data
Establish and enforce organization-wide best practices for data pipeline development, CI/CD for data workflows, automated deployment playbooks, and robust rollback strategies
Lead technology evaluation and adoption, proactively researching, evaluating, and championing the integration of cutting-edge data technologies, frameworks, and methodologies
Define and scale enterprise knowledge management frameworks that ensure consistent documentation, discoverability, and reusability of data assets across domains
Establish and govern standards for metadata management, data lineage, architectural diagrams, and runbooks
Lead the design of federated governance models that empower domain-aligned teams to operate autonomously while conforming to centralized policies, frameworks and playbooks
Collaborate with data governance, compliance, and security teams to operationalize policy-as-code frameworks for data retention, access control, and PII handling

What we offer

Competitive Wages & Paid Time Off
Stock Purchase Plan & 401k with Employer Contributions Starting Day One
Medical, Dental, & Vision Insurance with Optional Flexible Spending Account (FSA)
Team Member Health/Wellbeing Programs
Tuition Educational Assistance Programs
Opportunities for Career Growth

Fulltime

Senior Security Software Engineer - Security Operations

The Role GM’s Cybersecurity Team safeguards the company’s global information ass...

Location

United States , Warren

Salary:

125200.00 - 158600.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

5-7 years in software security engineering
advanced proficiency in modern programming languages
Expert in API development, microservices, event streaming, and idempotent integration patterns
Experience deploying software using any modern CI/CD pipeline and automated delivery practices
Hands-on with security tooling integrations (e.g., SIEM, EDR, SSPM)
Proven AI integration experience: LLM agents, embeddings, vector databases, RAG, prompt engineering
Cloud proficiency (Azure/AWS/GCP) and IaC (Terraform/Bicep/ARM/CloudFormation)
Data engineering fluency: ETL/ELT, schema design, normalization/enrichment
formats (JSON, YAML, syslog, STIX/TAXII)
Excellent cross-functional communication

Job Responsibility

Own architecture & delivery for complex integration services (APIs, microservices, event-driven workflows) with production SLIs/SLOs
Build AI-driven workflows (RAG, summarization, classification, agents) that augment investigations, triage, and orchestration
Create reusable connectors bridging SIEM/EDR/IAM/SSPM/ITDR/ITSM and cloud telemetry with robust error handling, retries, and DLQs
Implement security automation (SOAR-like playbooks) that enrich alerts and trigger deterministic + AI-assisted responses
Harden and observe services with CI/CD, automated testing, performance profiling, metrics, and incident runbooks
Mentor engineers and lead technical design reviews, coding standards, and reference implementations
Translate requirements into clear epics/roadmaps
align stakeholders and deliver on time with quality

What we offer

medical
dental
vision
Health Savings Account
Flexible Spending Accounts
retirement savings plan
sickness and accident benefits
life insurance
paid vacation & holidays
incentive pay program based on company, job level, and individual performance

Fulltime

AI Success Engineer

OpenAI’s AI Success Engineer team partners with the world’s most ambitious organ...

Location

Brazil , São Paulo

Salary:

Not provided

OpenAI

Expiration Date

Until further notice

Requirements

8+ years of experience in technical customer facing roles such as technical account management, technical GenAI consulting or deployment roles, solutions architecture, technical delivery leadership, customer architecture or engineering, or other deep technical enterprise adoption work
Deep, hands-on knowledge of OpenAI product capabilities, APIs, SDKs, connectors, and common integration patterns and able to explain model behavior, limitations, technical tradeoffs, embeddings, retrieval augmentation, and approaches to fine-tuning or custom model usage
Practical experience with authentication and enterprise security concepts (SSO, domain verification, encryption, and enterprise compliance frameworks (GDPR, HIPAA, etc.))
Understanding and familiarity with coding languages like Python or JavaScript, and comfort with REST APIs, SDKs, automation, CI/CD, containers, and cloud platforms
Can translate technical concepts into clear business language and help customers understand the strategic impact of AI technologies
Can show a strong record of driving technical deployments with hands-on on customer work and owning impactful adoption and value for large enterprise customers with complex environments and multiple stakeholders
Are comfortable embedding with customers to map workflows, identify requirements, and diagnose adoption challenges
Have excellent project and program management instincts and can lead multi work stream initiatives with clarity and structure
Enjoy being a thought partner for C level stakeholders while also diving deep with technical teams
Operate with high ownership and can manage fast decision making, context switching, and dynamic customer needs

Job Responsibility

Lead the technical relationship for post-sale customers and act as their trusted advisor on deployment, adoption, and value realization
Own account health, adoption velocity, and ongoing technical deployment and success across your portfolio
Be an expert in all of OpenAI products across our API and agentic platform, Codex, ChatGPT Enterprise, and more and conduct technical enablement and configuration sessions across them
Identify and validate use cases by embedding with customer teams to understand workflows and pain points
Lead account level coordination across multiple work streams, including new product activation, change management, and customer rollout and deployment planning
Build strong relationships with executive sponsors and technical stakeholders and help align business goals with OpenAI capabilities
Translate customer objectives into an actionable adoption roadmap with clear sequencing, milestones, and KPIs
Partner with Solutions Architecture, Product, Engineering and Research by surfacing customer feedback, field patterns, and technical blockers and act as a cross functional navigator who keeps teams aligned, informed, and moving toward customer outcomes
Guide value realization and measure impact through baselines, KPI definition, and post deployment reporting
Facilitate workshops on use case design, adoption best practices, champion building, and internal enablement

What we offer

relocation support

Fulltime

Embedded Engineering Lead - Streaming

Verkada

Location:
United States , San Mateo

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 06, 2026

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