Staff Software Engineer

We are looking for Staff Software Engineer to set the technical direction for te...

Location

Salary:

Not provided

Mad Devs

Expiration Date

Until further notice

Requirements

8+ years engineering, 4+ years in telecom/VoIP in production
Technical leadership: design docs, mentoring, cross-team decisions
Deep production experience with FreeSWITCH + Kamailio OR OpenSIPS (custom modules, routing scripts, at scale)
Strong SIP/RTP/SRTP/SDP/ICE
debug via pcap and SIP trace
Operated voice platform at 1,000+ concurrent calls (knows diff to 10k)
Strong Python
can work in Lua/Go/C as needed
Production integration with PSTN/SIP trunk providers (Twilio, Telnyx, etc.), DID management, LCR
Hands-on HA/failover for real-time systems

Job Responsibility

Own end-to-end telecom architecture: SIP edge (Kamailio/OpenSIPS), media & call control (FreeSWITCH), Python services bridging voice to AI, carrier integrations
Scale platform to 10,000+ concurrent calls with tight latency/SLOs
Design HA/disaster recovery: anycast SIP, active/active media, geographic failover
Set engineering standards for telecom team (testing, load testing, code review, on-call)
Mentor senior/mid engineers, raise technical bar
Define voice quality observability & SLOs (MOS, jitter, packet loss, latency)
Lead carrier strategy: SIP trunk vendors, redundancy, LCR, STIR/SHAKEN
Partner with AI/product to keep latency budgets honest

What we offer

Flexible working hours
Remote-first culture
Long-term projects
Salary in dollars
Professional communities
Onsite business trips
Training budget
Paid conferences

Fulltime

Staff Software Engineer

Anima saves lives every day. Hey! Shun here, I’m the CEO and co-founder of Anima...

Location

United Kingdom , London

Salary:

Not provided

Helpcare AI

Expiration Date

Until further notice

Requirements

Expert competency in TS, plus being reasonably tech + language agnostic. Comfortable with key frameworks/libraries like Angular, Node and React. Able to work full stack in JS/TS. Values pragmatism and open discussion from first principles rather than dogma
Exceptional at 'breadth-first search' through Googling when tackling new challenges, and consistently mindful of local maxima
Intellectually curious with a growth mindset - able to tackle entirely novel challenges that lack prior precedent through applying strong CS fundamentals and first principles thinking, creatively using the right data structures & algorithms to solve problems 90/10
Familiarity with AWS (e.g. APIG, SQS, DynamoDB, Lambda, Cognito, Amplify, CloudFormation) and/or hungry to learn
Disciplined towards best practice version control, CI/CD and code extensibility. Values 'interface safety' through dimensionality reduction at interfaces
Seeks to maximize not only self productivity, but combined team productivity, communicating the right things at the right time through the right channels (verbal/Slack/Notion)
Obsessively concerned with UX, and optimises for this when building features rather than arbitrary technical goals
Hungry and wants their shot to change the world - a force of nature when empowered with the tools, resources and development to do it. Sees joining Anima as potentially their shot to do this, and takes duty to crew and mission extremely seriously
Bored and frustrated at big companies
feel held back by red tape, bureaucracy and poor decisions

Job Responsibility

Help add further key third party API integrations, including with legacy EMR systems and national APIs like e.g. the electronic prescribing service, allowing Anima to directly issue prescriptions
Iterate on a proprietary graph traversal algorithm to improve patient care and clinical value, and increasingly move away from explicit curation to implicit curation by NNs
Ship important features that will directly increase delta lives saved in your first 2 weeks
Join customer calls to develop a deep understanding of their fundamental motivations and needs/pain points
Help architect and deploy a scalable & cost effective ETL data pipeline with version control, outputting clean data ready for tokenisation
Help deploy our active deep learning training & validation architecture to prod, so that we can correctly eat up our '1.0' systems at the right time
Build cutting edge products like global context aware chat with semantic search, care orchestration and LLM-enabled cloud telephony e2e
Hire/scale the team, while implementing the right processes at the right times to maximise discounted team productivity and minimise discounted dev time cost for shipping
Potential to transition to a more managerial/executive role. Lead an autonomous lance of elite engineers to fix healthcare and save lives
Work with the ML/data team to creatively ideate and ship features to improve ETL pipeline throughput and quality through a data-driven approach powered by analytics

What we offer

Flexibility over work schedule and location
Get the whole team together at least twice a year for team retreats
Visa sponsorship

Fulltime

Staff Software Engineer

Staff Software Engineer at HPE in Bengaluru. This role has been designed as 'Ons...

Location

India , Bengaluru

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Education: BS/MS in Computer Science, Electrical Engineering, or a related field
Experience: 10+ years of experience in networking software development
Core Systems Programming: Expert-level C/C++ and Python skills in a multi-threaded, multi-core Linux or FreeBSD environment
Control Plane Depth: Software development experience in one or more of these: Layer 2 and Layer 3 protocols, multicast (IGMP/MLD), Broadband Edge protocols (DHCP/PPPoE/L2TP), routing protocols, VPN/VXLAN, HTTP redirect, CoS, Firewall
Experience in implementation of above protocols/services on Broadcom DNX platforms (J2, J2C, Q2C) is a strong plus
OS Internals: Deep knowledge of IPC mechanisms, memory management, and high-availability (HA) synchronization in distributed systems

Job Responsibility

Architectural Leadership: Lead the design and development of scalable, resilient, and high-performance L2/L3 control plane software
Feature Ownership: Independently drive feature requests from product management into 'carrier-grade' reality, ensuring 99.999% reliability and hitless upgrades
Protocol Expertise: Implement and optimize complex networking protocols (e.g., DHCP, PPPoE, L2TP, VXLAN) within a distributed system architecture
System Integrity: Solve highly ambiguous, complex system-level bugs that span the boundary between the control plane, management plane (Netconf/YANG), and the underlying forwarding pipeline
Cross-Functional Collaboration: Partner with Hardware/ASIC teams to define software-hardware interfaces and with QA teams to drive automated, scale-focused testing strategies
Mentorship: Act as a technical beacon for the engineering organization, conducting deep-dive code reviews and mentoring senior and lead engineers

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Staff Software Engineer, AI

As an AI Staff Engineer you'll play a crucial role in developing and refining ou...

Location

United States , New York

Salary:

193000.00 - 242000.00 USD / Year

BlackLine

Expiration Date

Until further notice

Requirements

4+ years of experience as a Full Stack Software Engineer or a similar role developing, shipping, and testing of software within a well-established enterprise, bonus points if at a fast growth enterprise
Bachelor's degree in Computer Science, Engineering or a related field
Demonstrated experience working with production LLM APIs (OpenAI, Anthropic, Google, etc.) including handling rate limits, cost optimization, and performance monitoring in live systems (not just vibe coding)
Clear experience utilizing frameworks like RAG in production applications to further enhance the foundational models for proprietary applications and datasets
Experience with AI system testing methodologies including model evaluation, A/B testing of AI features, and monitoring model performance in production
Experience with data pipelines and ETL/ELT processes (given our data-intensive AI workflows)

Job Responsibility

Utilize the best-in-class models available on the market to deliver meaningful solutions for our clients, bringing them from the idea stage all the way to production
Collaborate with the team to integrate AI solutions into our existing production processes
Design and implement scalable AI system architecture handling including model orchestration, caching strategies, and fallback mechanisms
Evaluate and implement new AI technologies and methodologies to keep WiseLayer and BlackLine at the cutting edge

What we offer

short-term and long-term incentive programs
robust offering of benefit and wellness plans

Fulltime

Staff Software Engineer – Secondary Driving System

At General Motors, our Embodied AI teams are redefining what’s possible in drive...

Location

United States , Sunnyvale

Salary:

218800.00 - 335300.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

BS, MS, or PhD in Computer Science, Robotics, Electrical/Mechanical Engineering, or a related field
or equivalent practical experience
8+ years of professional software engineering experience building production systems in robotics, autonomous vehicles, or other complex real‑time/control systems, including significant experience in perception and/or prediction
Strong proficiency in modern C++ (e.g., C++14/17 or later) in large, multi‑contributor codebases
experience using Python for tooling, data analysis, and ML experimentation
Demonstrated experience leading technical design and delivery of perception, tracking, or prediction systems in real‑time environments, including: Multi‑sensor fusion across camera, radar, and/or lidar (e.g., object‑level fusion, occupancy/freespace fusion, early/late fusion architectures)
Classical computer vision and geometric algorithms (feature extraction, multi‑view geometry, stereo, SfM, SLAM/visual odometry)
Multi‑object tracking (Kalman/extended/unscented filters, track‑to‑track fusion, track lifecycle management)
Motion prediction for road users (analytical kinematic models, maneuver‑based prediction, or learned trajectory forecasting models)
Proven track record of delivering reliable, high‑quality robotics or autonomous driving software to production, including: Testing strategies (simulation, HIL, scenario‑based testing, regression suites)

Job Responsibility

Serve as a technical lead for SDS software across multiple components of the stack, setting direction for algorithms, architectures, and system interfaces across features and releases
Own the end‑to‑end technical strategy for key SDS behaviors and features, spanning perception/prediction integration, planning, controls, and system‑level interactions
Balance hands‑on technical work with cross‑team leadership: you will still design and implement critical components in modern C++, while also guiding other senior and mid‑level engineers to deliver at scale
Collaborate closely with experts in perception, tracking, prediction, state estimation, localization, mapping, planning, controls, systems engineering, and safety to deliver robust, fail‑operational behaviors for Super Cruise and future products
Define technical vision & architecture
Set the technical direction for SDS software components with a focus on correctness, robustness, and predictable runtime behavior under tight latency and compute budgets
Architect scalable, modular multi‑sensor perception pipelines for camera, radar, and lidar, including detection, classification, lane/road feature extraction, freespace/occupancy, and environmental context
Establish and evolve interfaces and contracts between perception/prediction and upstream/downstream components (state estimation, localization, mapping, planning, controls, autonomy management)
Lead high‑impact projects
Lead design and delivery of multi‑object tracking systems (e.g., Kalman/extended/unscented filters, IMM, probabilistic data association, track lifecycle management) that provide stable, high‑quality tracks under real‑world noise and edge cases

What we offer

medical
dental
vision
Health Savings Account
Flexible Spending Accounts
retirement savings plan
sickness and accident benefits
life insurance
paid vacation & holidays
tuition assistance programs

Fulltime

Sr Staff Software Engineer

The mission of the Payment Methods & Processing team is to drive profitable grow...

Location

India , Hyderabad

Salary:

Not provided

Uber

Expiration Date

Until further notice

Requirements

BS, MS or PhD degree in computer science, similar technical field of study and equivalent practical experience
14+ years professional software development experience. 6+ years of tech lead experience for multiple engineering pods
A strong ability to architect and design robust, high-scale systems and to challenge engineers to think bigger and more generically in developing their solutions
Experience in developer tooling and developer productivity
Demonstrated experience using metrics to measure and improve product quality, as well as the quality of verification systems

Job Responsibility

Architecture & Design: Lead the design and architecture of Uber's payment processing systems, ensuring they are scalable, secure, and maintainable
Technical Leadership: Provide technical guidance across various projects and initiatives within the payments domain, influencing key decision makers
Collaboration: Work closely with cross-functional teams including engineering, product management, and operations to define and implement payment processing strategies
Innovation: Evaluate and integrate cutting-edge technologies that can enhance payment processing efficiency and security
Mentorship: Guide and mentor engineering teams within payments, fostering a culture of innovation and continuous improvement
Stakeholder Engagement: Liaise with stakeholders to ensure that technical solutions align with business needs and objectives, keeping customer satisfaction at the forefront
Problem Solving: Act as the go-to problem solver, troubleshooting complex issues and developing sustainable solutions

Fulltime

Staff Software Engineer - AI/ML Infra

GEICO AI platform and Infrastructure team is seeking an exceptional Senior ML Pl...

Location

United States , Chevy Chase; New York City; Palo Alto

Salary:

115000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, or related technical field (or equivalent experience)
8+ years of software engineering experience with focus on infrastructure, platform engineering, or MLOps
3+ years of hands-on experience with machine learning infrastructure and deployment at scale
2+ years of experience working with Large Language Models and transformer architectures
Proficient in Python
strong skills in Go, Rust, or Java preferred
Proven experience working with open source LLMs (Llama 2/3, Qwen, Mistral, Gemma, Code Llama, etc.)
Proficient in Kubernetes including custom operators, helm charts, and GPU scheduling
Deep expertise in Azure services (AKS, Azure ML, Container Registry, Storage, Networking)
Experience implementing and operating feature stores (Chronon, Feast, Tecton, Azure ML Feature Store, or custom solutions)

Job Responsibility

Design and implement scalable infrastructure for training, fine-tuning, and serving open source LLMs (Llama, Mistral, Gemma, etc.)
Architect and manage Kubernetes clusters for ML workloads, including GPU scheduling, autoscaling, and resource optimization
Design, implement, and maintain feature stores for ML model training and inference pipelines
Build and optimize LLM inference systems using frameworks like vLLM, TensorRT-LLM, and custom serving solutions
Ensure 99.9%+ uptime for ML platforms through robust monitoring, alerting, and incident response procedures
Design and implement ML platforms using DataRobot, Azure Machine Learning, Azure Kubernetes Service (AKS), and Azure Container Instances
Develop and maintain infrastructure using Terraform, ARM templates, and Azure DevOps
Implement cost-effective solutions for GPU compute, storage, and networking across Azure regions
Ensure ML platforms meet enterprise security standards and regulatory compliance requirements
Evaluate and potentially implement hybrid cloud solutions with AWS/GCP as backup or specialized use cases

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Staff Software Engineer - AI/ML Platform

GEICO AI platform and Infrastructure team is seeking an exceptional Senior ML Pl...

Location

United States , Chevy Chase; New York City; Palo Alto

Salary:

115000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, or related technical field (or equivalent experience)
8+ years of software engineering experience with focus on infrastructure, platform engineering, or MLOps
3+ years of hands-on experience with machine learning infrastructure and deployment at scale
2+ years of experience working with Large Language Models and transformer architectures
Proficient in Python
strong skills in Go, Rust, or Java preferred
Proven experience working with open source LLMs (Llama 2/3, Qwen, Mistral, Gemma, Code Llama, etc.)
Proficient in Kubernetes including custom operators, helm charts, and GPU scheduling
Deep expertise in Azure services (AKS, Azure ML, Container Registry, Storage, Networking)
Experience implementing and operating feature stores (Chronon, Feast, Tecton, Azure ML Feature Store, or custom solutions)

Job Responsibility

Design and implement scalable infrastructure for training, fine-tuning, and serving open source LLMs (Llama, Mistral, Gemma, etc.)
Architect and manage Kubernetes clusters for ML workloads, including GPU scheduling, autoscaling, and resource optimization
Design, implement, and maintain feature stores for ML model training and inference pipelines
Build and optimize LLM inference systems using frameworks like vLLM, TensorRT-LLM, and custom serving solutions
Ensure 99.9%+ uptime for ML platforms through robust monitoring, alerting, and incident response procedures
Design and implement ML platforms using DataRobot, Azure Machine Learning, Azure Kubernetes Service (AKS), and Azure Container Instances
Develop and maintain infrastructure using Terraform, ARM templates, and Azure DevOps
Implement cost-effective solutions for GPU compute, storage, and networking across Azure regions
Ensure ML platforms meet enterprise security standards and regulatory compliance requirements
Evaluate and potentially implement hybrid cloud solutions with AWS/GCP as backup or specialized use cases

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

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Staff Software Engineer - Edge Team

Job Description

Job Responsibility

Requirements

Nice to have

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Staff Software Engineer - Edge Team

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