Newgen Software Jobs in Usa

Manufacturing Test Software Engineer

Salary: $125,000 – $150,000 + equity & benefits

Location: Mission District, San Francisco, CA

We’re looking for a self-motivated Manufacturing Test Software Engineer to join our R&D/Pilot test team in San Francisco. You’ll work closely with R&D and Operations to improve test systems, processes, and production readiness for LiDAR products.

Key Responsibilities

• Maintain, enhance, and deploy test systems and automation platforms
• Drive improvements in test efficiency, yield, and product quality
• Analyze root causes of failures and implement corrective actions using tools such as 8D, 5 Whys, and Fishbone analysis
• Support scalability and manufacturability projects
• Prepare technical documentation and train test operators

Required Skills & Experience

• Strong Python programming and debugging skills
• Experience with test automation in manufacturing environments
• Familiarity with source control tools (Git, Jira, etc.) and quality standards (SPC, GR&R, control charts)
• Experience with LiDAR, robotics, vision systems (Cognex/OpenCV), or test measurement equipment is a plus
• Bachelor’s degree in Computer Science, Engineering, or equivalent experience
• 10+ years supporting product tests in manufacturing

Our client, a leading Energy Optimization Services provider is hiring a Senior BD / Salesperson to join their Battery Optimization Software Sales team.

We are looking for someone with 5+ years of energy industry software sales experience, ideally with energy storage and wholesale electricity market participation experience.

Location: Bay Area or remote.

THE ROLE IN ONE SENTENCE

You build relationships with local service business owners. We give you the software and the pitch. You earn 20% (instead of 15%) founding partner rate of every client's monthly subscription — forever, for as long as they stay.

5 clients a month for 12 months = 60 active accounts = $5,960/mo in passive recurring income — without closing a single new deal after month twelve.

WHO WE'RE LOOKING FOR

We are not looking for general sales talent. We are looking for someone with a real, warm network inside one or more of these industries:

• HVAC companies
• Plumbing and mechanical contractors
• Roofing companies
• Auto shops
• General contractors and cleaning crews

If you don't know any business owners in these verticals personally, this role is not a fit. If you have 10 of them in your phone right now, keep reading.

WHAT YOU'RE SELLING

DRIFTFORGE builds operational software that plugs the gaps left by platforms like Jobber, ServiceTitan, and Housecall. Our tools don't replace what businesses already paid for. They complete it. That positioning makes the conversation easy.

HOW THE MONEY WORKS

• 20% MRR (Instead of 15%) founding partner rate on every active client — forever, no reset
• 20% of setup fee on every new client go-live
• Enterprise deals above $1,000/mo carry additional overage splits
• Founding partner rate locked in for early partners — this rate does not get offered indefinitely

WHAT YOU'RE NOT DOING

• No cold calling random lists
• No quota that resets every quarter
• No manager, no check-ins, no micromanagement
• No custom development promises — the product is fixed and it sells itself

HOW TO APPLY

Answer one question in your application: If your first revenue check depended on a sit-down with a local service business owner by 10 AM tomorrow — what specific business are you calling, and why that one?

That question is the interview. A vague answer means we're probably not the right fit. A named person means let's talk.

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

We're seeking an exceptional Staff Software Engineer to join our Observability team at Pinterest. This role combines deep technical expertise in distributed systems and data engineering with a product-oriented mindset to build world-class observability solutions that empower our engineering organization.As a Staff Engineer on the Observability team, you'll be responsible for designing and building the infrastructure and tools that provide visibility into Pinterest's large-scale distributed systems, helping thousands of engineers understand, debug, and optimize their services.

What you'll do:

• 
  
• Define and execute the observability roadmap, treating it as a product. Understand engineering team needs and translate them into technical solutions with measurable impact.
  
• Architect, build, and scale distributed observability infrastructure (metrics, logs, traces) to handle massive volumes across Pinterest's distributed systems.
  
• Build high-performance data pipelines and storage for real-time and historical telemetry analysis at Pinterest scale.
  
• Champion Best Practices: Establish observability standards and patterns across the organization, making it easy for teams to instrument their services and gain actionable insights
  
• Technical Leadership: Mentor engineers, lead architectural reviews, and influence technical decisions across teams to improve overall system reliability and performance
  
• Cross-functional Collaboration: Partner with SRE, Infrastructure, Product Engineering, and other teams to understand pain points and deliver solutions that improve developer productivity and system reliability
  
• Innovation: Stay current with observability trends and technologies, evaluating and adopting cutting-edge tools and techniques to keep Pinterest at the forefront
  

What we're looking for:

• 
  
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.
  
• Product Mindset: Demonstrated ability to work backwards from customer needs -understanding user needs, prioritizing features, measuring success, and iterating based on feedback. Experience building internal platforms or tools with strong adoption
  
• Distributed Systems Expertise: 7+ years of experience designing and operating large-scale distributed systems with deep understanding of consistency, availability, scalability, and failure modes
  
• Data Engineering Skills: Strong background in building data pipelines, working with time-series databases, columnar storage, stream processing (Kafka, Flink, etc.), and data modeling at scale
  
• Observability Domain Knowledge: Hands-on experience with modern observability tools and practices including metrics, logging, tracing, and profiling. Familiarity with OpenTelemetry, Prometheus, Grafana, or similar technologies
  
• Programming Proficiency: Expert-level coding skills in languages like Java, Python, Go, or Scala with ability to write production-quality code
  
• Systems Thinking: Ability to see the big picture while managing complex technical details, balancing trade-offs between cost, performance, and reliability
  
• Experience building observability platforms from the ground up or significantly scaling existing solutions
  
• Familiarity with cloud-native architectures and technologies (Kubernetes, service mesh, etc.)
  
• Track record of driving adoption of internal platforms through excellent documentation, UX, and developer advocacy
  
• Experience with machine learning or anomaly detection applied to observability use cases
  
• Strong communication skills with ability to influence stakeholders at all levels
  
• Contributions to open-source observability projects, a plus
  

In-Office Requirement Statement:

• 
  
• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-REMOTE

#LI-JT1

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

We're looking for a Senior Backend Engineer to help design, build, and scale tvScientific's contract and billing systems that support direct advertisers, internal teams, and Finance. This role focuses on building backend services that can support a wide range of contract structures and billing models while maintaining strong guarantees around correctness, auditability, and operational reliability.

You'll work on systems that must operate accurately across different commercial relationships and external partners, ensuring our contract logic remains consistent, flexible, and maintainable as the business scales.

This is a high-impact backend role at the intersection of revenue, finance, and customer operations, where clear domain modeling, data integrity, and sound engineering judgment matter more than any specific implementation approach.

What you'll do:

• 
  
• Design and implement backend systems for contract lifecycle management, including creation, versioning, approvals, amendments, and renewals
  
• Build and evolve contract management capabilities (e.g., terms, payouts, attribution rules, eligibility, and partner-specific logic) for our CPA Contract/Billing model
  
• Support the expansion of CPM billing model contracts, including rate management, impression-based calculations, and integrations with billing and finance systems
  
• Develop APIs and services that serve customers, internal operations teams, and finance stakeholders
  
• Partner closely with Product, Finance, and Data teams to translate business requirements into robust technical solutions
  
• Ensure systems are auditable, accurate, and compliant, with strong data integrity guarantees
  
• Improve system observability, reliability, and performance as contract volume and complexity scale
  
• Own backend services and data models related to contracts and billing
  
• Lead technical design discussions and make pragmatic architectural decisions
  
• Write clean, well-tested, and maintainable code with a strong focus on correctness
  
• Drive improvements in data consistency, validation, and error handling across contract workflows
  
• Review code and mentor other engineers, setting a high bar for backend quality
  
• Collaborate cross-functionally to support new deal structures and evolving business models
  

What we're looking for:

• 
  
• Experience with billing/contract mechanisms (specifically affiliate platforms)
  
• Bachelor's degree in computer science, a related field or equivalent experience
  
• Experience building large-scale full-stack products.
  
• Deep understanding of web development and best practices in React/Redux
  
• Strong experience with programming languages Javascript and Python/Java
  
• Strong software engineering principles and practices
  
• Strong collaboration and communication skills
  
• Nice-to-Haves:
  
  • 
    
  • Experience working closely with finance or accounting teams
    
  • Background in building audit-friendly or compliance-sensitive systems
    
  
  
  

In-Office Requirement Statement:

• 
  
• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit ourPinFlexpage to learn more about our working model.
  

#LI-SM4

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Team & Mission

The Measurement Products team helps advertisers measure the incremental impact of their Pinterest campaigns and make informed investment decisions. We own and operate core measurement products including Pinterest Conversion Lift (PCL) Studies and Brand Lift Studies.

We build the platform these products run on and are evolving it into our nextgen Measurement Hub, an extensible platform that enables faster product iteration, onboarding of new study types, and deeper integration with Pinterest's enterprise data and experimentation systems. Our mission is to measure true incremental impact and translate it into actionable insights for advertisers and partners.

Role Summary

We're seeking a Staff Engineer to lead the architecture and technical direction of the measurement platform behind how advertisers understand the impact of their investment on Pinterest. You'll drive endtoend platform evolution (pipelines, services, correctness, reliability), partner closely with Product and Data Science, and raise the bar on rigor, trust, and operational excellence in ads measurement.

• 
  
• Own endtoend architecture and delivery of features for lift measurement products, from design and implementation through rollout and ongoing reliability.
  
• Design, build, and optimize largescale data pipelines that power study setup, experiment execution, and results computation.
  
• Drive AI enablement across the team by building the supporting tooling and processes (CI checks, test strategy, templates), coaching engineers, and ensuring adoption results in sustained improvements to delivery speed and system quality.
  
• Translate measurement methodology into production systems: partner with Data Science to operationalize study design requirements into pipelines, services, tooling, and guardrails.
  
• Build "rigor by default" mechanisms: automated data validation, randomization/holdout integrity checks, imbalance diagnostics, and continuous verification/backtesting.
  
• Raise the bar on data quality and trust: define SLAs, build monitoring and anomaly detection, and lead rootcause analysis for pipeline and study issues.
  
• Mentor and up level engineers, driving strong technical execution and crossfunctional collaboration.
  

• 
  
• BS+ in Computer Science (or related field) or equivalent practical experience.
  
• 8+ years of professional software engineering experience, with a focus on dataintensive systems.
  
• Strong proficiency building and operating largescale data pipelines (batch and/or streaming) using Java/Scala/Kotlin or Python, plus SQL.
  
• Experience designing reliable services and APIs, with solid foundations in distributed systems, data modeling, and performance optimization.
  
• Demonstrated ability to transform a team's engineering workflow using AI-from pilot to broad adoption-through tooling, enablement, and change leadership, with clear metrics (cycle time, defect rate, on-call load, incident rate).
  
• Experience in AdTech and measurement products (e.g., conversion lift, brand lift) or adjacent experimentation/analytics platforms.
  
• Working knowledge of experimentation and causal measurement fundamentals (randomization, holdouts, confounders, significance, power).
  
• Practical experience with backtesting, controlled rollouts, and continuous verification for correctness in measurement/analytics systems.
  
• Demonstrated ability to lead large crossfunctional initiatives, drive alignment, and deliver measurable impact through technical leadership.
  

In-Office Requirement Statement:

• 
  
• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-REMOTE

#LI-KK6

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Team & Mission

The Privacy & Conversion Data team is responsible for how the company safely and compliantly uses conversion data to power monetization. We build and operate the core privacy infrastructure behind ads reporting and optimization, including controlled data environments, finegrained access controls, centralized privacy rules enforcement, and deidentification pipelines for conversion data. Our mission is to make conversion data privacypreserving by default-centralized, deidentified, auditable, and easy for teams to use, while maintaining high utility for advertisers and staying ahead of an evolving global regulatory landscape.

Role Summary

We're seeking a Staff Engineer to lead the architecture and technical direction for the conversion data privacy platform, spanning both core Conversion Data systems and deidentification for ads reporting. You'll own the endtoend design and evolution of privacycritical pipelines and services, partner closely with Product, Data Science, Legal, and infrastructure teams, and set the technical bar for how we use conversion data safely at scale.

What you'll do:

• 
  
• Lead the technical strategy and architecture for conversion data privacy across access controls, deidentification, deletion, and privacy rules enforcement, driving toward a centralized, deidentifiedbydefault, automated privacy platform for monetization.
  
• Design and evolve core privacy infrastructure including controlled environments for sensitive data, finegrained authorization and policy enforcement, and a central policy repository that consistently governs access across major data platforms and query engines.
  
• Own deidentification pipelines for ads reporting endtoend-from separating sensitive and nonsensitive data, applying deidentification techniques and transformations, and generating privacypreserving datasets, to validating data utility and feeding reporting and analytics surfaces.
  
• Build and improve privacy frameworks and tooling (for both online and offline workflows) that make safe, compliant conversion data usage simple and selfservice for downstream teams, reducing onboarding friction for new datasets, restrictions, and use cases.
  
• Drive operational excellence and compliance by defining SLAs, building robust monitoring and alerting (e.g., deidentification quality, optout metrics, data leakages), leading incident response, and developing performant deletion and leakagehandling workflows that meet regulatory and audit requirements.
  
• Partner crossfunctionally with ads, data, product, legal, and infrastructure stakeholders to translate legal/privacy requirements into technical designs, make clear tradeoffs between privacy and utility, and drive alignment on roadmaps, launches, and policy changes that impact advertisers and users.
  
• Mentor and uplevel engineers across multiple teams, lead critical design and code reviews in privacysensitive areas, and establish best practices and documentation for privacybydesign, deidentification, and largescale data systems.
  

What we're looking for:

• 
  
• BS+ in Computer Science (or related field) or equivalent practical experience.
  
• 8+ years of professional software engineering experience, with a focus on largescale data systems or distributed systems.
  
• Strong proficiency building and operating data pipelines and services using Java/Scala/Kotlin or Python, plus SQL; experience with modern big data ecosystems is a plus.
  
• Experience designing secure, reliable systems and APIs, with solid grounding in data modeling, access control, and performance optimization.
  
• Meaningful experience in at least one of: privacypreserving data systems (e.g., deidentification, kanonymity), ads measurement/attribution, or largescale analytics/experimentation platforms.
  
• Proven ability to drive crossteam technical initiatives from design through rollout, working closely with product, data science, and nonengineering partners (e.g., Legal, Compliance).
  
• Strong communication and leadership skills, with a track record of mentoring engineers, raising engineering standards, and making sound decisions in ambiguous, highimpact problem spaces.
  

In-Office Requirement Statement:

• 
  
• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-REMOTE

#LI-KK6

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

Work Location: Chicago - Hybrid (Hybrid work: Tues-Thurs in the office. Monday & Friday remote)

Work Schedule: Normal CST business hours, Monday to Friday

Role Overview

We are seeking detail-oriented individuals to support the Search Log Quality (SLQ) systems through a combination of system monitoring, technical debt reduction, and quality assurance. You will play a critical role in maintaining the health of our logging infrastructure, resolving visual element ownership, and helping to reduce the tech debt in our codebase.

Key Responsibilities

Responsibilities may vary according to the designated track; however, the following tasks are representative of the role:

SLQ Monitoring & Triage: Perform first-level triage for system errors, maintain and enhance SLQ monitors, and conduct audits to standardize filtering.

Visual Elements (VE) Maintenance: Resolve ownership staleness bugs, update metadata/screenshots for active VEs, and identify/cleanup unused tags.

Infrastructure & Code Migration: Assist in migrating logging code to new frameworks (e.g., log routing), refactoring C++ logic, and transitioning frontend tools from React to Boq Wiz.

Quality & AI Verification: Validate AI-generated boilerplate code and VE suggestions, and conduct human evaluations for internal tools like Seeker and Sherlog.

Documentation: Analyze documentation gaps by grouping common technical questions and creating "canonical bug" collections for training.

Candidate Requirements

To be considered for this role, applicants must possess the following foundational qualifications:

A Bachelor’s degree or a comparable level of practical professional experience.

At least 3 years of software development experience using one or more languages (or 1 year for those with an advanced industry-related degree).

2 years of applied or academic experience working with algorithms and data structures.

Desired Technical Background

Advanced proficiency in SQL and Go.

Practical coding experience with at least one of the following: Java, C++, or Kotlin.

Understanding of distributed systems, RPC infrastructure, multi-threading, and asynchronous programming.

Proven ability to troubleshoot and identify root causes for production-level issues.

Professional & Interpersonal Skills

Excellent communication and cross-functional collaboration abilities.

Resourceful approach to problem-solving in high-velocity environments.

A proactive mindset and enthusiasm for learning